Poster ID Title Name(English) Abstract
A. Omics Data Integration & Analysis
A1 Chromosome rearrangement and genome complexity in hexaploid Hibiscus syriacus: Insights from pseudochromosome assembly and comparative analysis Hyunjin Koo
A2 Analysis of Myocarditis following mRNA COVID-19 Vaccination at Single-cell Level: Integating scRNA-seq and scATAC-seq Kim seulgi
A3 Systematic Omics Analysis of Large-scale Cancer Cell Lines Identifies CCR6 as a Potent Therapeutic Target to Combat Cancer Resistance to EGFR Inhibitors Eun-Ji Kwon
A4 Profiling of COVID-19 Patients Reveals Key Factors in the Path to Recovery Hye Seong
A5 Construction of mouse immune lncRNA atlas from various mouse cell types HyunSeok Song
A6 Integrative Analysis of Bulk RNAseq and single cell RNAseq revealed distinct cell types associated with Ulcerative Colitis Saqib Jahanzeb
A7 Comparative RNA-seq Analysis Utilizing Large-Scale Control Datasets in Oryza sativa. ILSAN JEONG
A8 Site-specific transcriptomic analysis reveals novel insights into pterygium pathogenesis Hanseul Cho
A9 Identifying Causal Genetic Mechanisms of Asthma via an Integrative Analysis of Transcriptome- and Proteome-wide Association Studies Yubin Lee
A10 Identifying the Susceptibility Genes of Male-pattern Baldness with Transcriptome-wide Association Study Eunyoung Choi
A11 Characterizing feature selection for single-cell expression analysis Bukyung Baik
A12 Transcriptome analysis towards uncovering transcriptional reprogramming during callus formation in soybean Joo-Seok Park
A13 Spatial Transcriptomics Analysis of Mouse Spleen Tissue Seq-scope Data Using SSAM Dohyun Hwang
A14 Pseudo-temporal analysis of ribonucleoprotein complex assembly using proximity labeling and nanopore sequencing Heeseung Yoo
A15 A Simple Method for Analysis of the Heritability with Plant Chloroplast Genome Dong Su Yu
A16 HiCAN update: a reference-based estimation of the interaction between nuclear bodies and chromosomes Jaegeon Joo
A17 Development of a Deep Learning-Based Prediction Model for Metabolic Syndrome using genomic data Mira Park
A18 Hierarchical Structural Component Analysis of Biological Pathways using Graph Attention Network (HisCoM-GAT) Taewan Goo
A19 Unveiling Transcription Factors Driving Astrocyte Functional Development by Integrated Analysis Seongwan Park
A20 Shared and distinct mechanisms of MAZ, CTCF, and cohesin in mediating the interplay between chromosomes and nuclear bodies Sang Hyun Lee
A21 Q-omics: smart software for assisting oncology and cancer research Soyeong Kim
B. Cancer Genomics
B1 IFN-γ–related transcriptome profile as favorable prognostic factors in high-grade serous ovarian cancer Dae-Won Sim
B2 Improved liquid biopsy assay performance using sequencing by binding (SBB) Yeeun Shim
B3 Somatic Driver Gene Alterations are Associated with Predictive Anticancer Response and Prognostic Assessment in Pancreatic Ductal Adenocarcinoma Eunwoo Choi
B4 Cellular abundance-based prognostic model associated with deregulated gene expression of leukemic stem cells in acute myeloid leukemia Dong-Jin Han
B5 Indel mutational signatures reveal distinct subtypes of microsatellite instability Sunmin Kim
B6 Immunological subtyping of salivary gland cancer identifies histological origin-specific tumor immune microenvironment Jiyun Hong
B7 Mutational landscape analysis of prostate tumor Jihyun Kim
B8 Identification of proteogenomic landscape of whole genome doubling reveals putative therapeutic targets in each cancer type Eunhyong Chang
B9 Reversion of pathogenic BRCA1 L1780P mutation confers resistance to PARP and ATM inhibitor in breast cancer Se-Young Jo
B10 Conventional genomic predictive markers to immune checkpoint inhibitors are deteriorated in metastatic clear cell renal cell carcinoma Ahyeon Kim
B11 Development of large-scale structural variation detection software in Hi-C and single-cell Hi-C using few-shot learning Kyukwang Kim
B12 Molecular characterization of ovarian carcinoma by the size of somatic copy number alteration Doo Hyun Koh
B13 The aberrant expression of ISWI regulatory subunit RSF1 induces oncogenic reorganization of 3D genome that leads DNA repair defect Sunwoo Min
B14 New Druggable Targets in ETS rearrangement-negative CRPC Ju Young Lee
B15 Trajectory of lymph node metastasis characterizes molecular features of esophageal squamous cell carcinoma Jiho Park
B16 Development of an algorithm to evaluate 3D protein structure prediction similarities due to mutations Jongkeun Park
B17 Identification of niche-specific gene signatures between malignant and tumor microenvironments by integrating single cell and spatial transcriptomics data Saqib Jahanzeb
B18 Identifying biomarkers for predicting the response of MSC11FCD therapy to recurrent glioblastoma patients Ju-Won Kim
C. Metagenomics & Algorithms for Microbiomes
C1 Systematic Evaluation of Data Processing Pipelines and Machine Learning Classifiers for Shotgun Metagenomics-based Diagnosis of Crohn’s Disease and Colorectal Cancer Sungho Lee
C2 Gut microbiome modulation by colon surgery Sehun Ahn
C3 Exploring microbiome in gastric cancer microenvironment: a novel diagnostic strategy Mun Seong Ik
C4 Human reference oral virome Hanjune Kim
C5 Metagenome-guided machine learning unravels dynamic interactions of sulfate-reducing microbiomes with operational parameters in a full-scale wastewater treatment plant jeon eunsu
C6 Petasearch: Efficient and Sensitive Sequence Comparison at Scale Milot Mirdita
C7 MRGM: Mouse reference gut microbiome enabling comprehensive comparison of gut microbiome between mouse and human Nayeon
C8 Diagnosis of ocular infection using Nanopore Metagenomic sequencing Dongwoo Park
C9 De novo assembly of MAGs revealed prevalent anti-microbial resistant microbial strains among human community and their impact in individual microbiome Jae-Woo Baek
C10 HRGM v2: A global and high-quality human gut microbiome catalog of 155,211 near-complete reference genomes from 41 countries Junyeong Ma
C11 Association between newborn infant microbiota and parental skin disease JongHeon Park
C12 Microbial Risk Score for disease prediction using amplicon or shotgun metagenomic sequences Boram Kim
C13 Identifying biomarkers associated with type 2 diabetes using longitudinal microbiome data MD MOZAFFAR HOSAIN
C14 Student researcher Seungrin Yang
C15 Metabank for Metagenome Repository Suvin Baek
C16 Construction of comprehensive human oral microbiome catalog reveals characteristics of underestimated clades Jun Hyung Cha
D. Sequence Analysis
D1 Leveraging advances in natural language processing to decipher antibody sequence Eunna Huh
D2 Bioinformatic analysis of zika virus miRNAs interacting with host genes Yoon Jung Kim
D3 Comprehensive analysis of synonymous codon usage in human Coxsackievirus B3 Xianglan Min
D4 Assembly of the complete mitochondrial genome of Pepper Cultivars (Capsicum annuum L.) Junseong Bae
D5 Analysis of airway microbiome related to particulate matter in patients with chronic obstructive pulmonary disease Sun
D6 Continuous wavelet transforms of nucleotide sequences simplify repeated regions in the genome Hyunsu Lim
D7 Intron analysis of the role of splicing event of Ulp2, a yeast enzyme responsible for yeast SUMO processing Seungji Choi
D8 Effects of hypoxia for chromatin accessibility during oncogene induced senescence Yoon Insoo
D9 Confident identification of co-fragmented peptides from unrestrictive modification search using machine learning Sunjin Park
D10 Noncoding Rare Variant Association in Alzheimer's Disease Using Single-cell Chromatin Accessibility Data Chanhee Kim
D11 Comparative transcriptome analysis of periodontitis and peri-implantitis in human subjects Yeongjoo Kim
D12 MOSCAL: Detection of mosaic variants using linked-read sequencing YONGJUN KIM
E. Genomic Variation & Disease
E1 Dysregulation of the Wnt/β-catenin signaling pathway via Rnf146 upregulation in a VPA-induced mouse model of autism spectrum disorder Seoyeon Kim
E2 Prevalence and Characterization of NOTCH2NLC GGC Repeat Expansions in Koreans: From a Hospital Cohort Analysis to a Population-Wide Study Juhyeon Hong
E3 Identification of Novel Genetic Variants in Pulmonary Arterial Hypertension through Whole Exome Sequencing in a Korean Population Moonyoung Lee
E4 Oligogenic contribution of rare variants for autism spectrum disorder Hyeji Lee
E5 Role of FRZB in proliferative vascular diseases Hyomin Kim
E6 Identify Cryptic genetic background under Thyroiditis from ICI treatments using Whole Genome Sequencing Hojin Lee
E7 Multivariate Analysis of identifying novel genetic variants for Metabolic Syndrome in Korean Cohorts Dasom Kim
E8 Epigenetic footprints of industrial hazards: discovering methylation markers and their disease associations. Hyeon Gyu Shin
E9 Transcriptome-Wide Association Studies of 81 traits in 79,294 individuals from Korean Populations Min Heo
E10 Whole-Genome Sequencing Improves the Diagnostic Yield of Idiopathic Dilated Cardiomyopathy Seunghee Moon
E11 Whole exome sequencing and familial segregation study with targeted sequencing revealed pathogenic genes in inherited cystic kidney disease Dajun Lee
E12 Whole genome sequencing analysis identifies sex differences of familial risk contributing to phenotypic patterns in autism spectrum disorder Soo-Whee Kim
E13 Predicting Contribution of Genome-Wide Noncoding Mutations Disrupting Cell Type-Specific Regulatory Elements to Autism Risk Using CWAS-Plus In Gyeong Koh
E14 CWAS-Plus: Estimating genome-wide association of noncoding variation from whole genome sequencing data Yujin Kim
E15 Assessing adult neurogenesis activity and validating association to Alzheimer’s disease SEUNGSEOK KANG
E16 A Method of Identifying False Positives in the Variant Calling Sunhee Kim
E17 Association of genetic variants with pre-diabetes and type 2 diabetes using illness-death model in Korean adults Oh jeongmin
E18 Germline indel calling performance is highly associated with indel property and parameter optimization Mooyoung Kim
E19 Cardiovascular Polygenic Risk Scores and Mortality Risk in COVID-19 Patients Jun Sik Kim
E20 Investigating the role of polygenic risk scores for comorbidities in COVID-19 susceptibility Soo Min Song
E21 Comprehensive benchmarking of variant calling on X chromosome from large-scale whole genome sequencing data Gang-Hee Lee
F. Pharmacogenomics
F1 Advancements in DILI Prediction Models Chanhee Lee
F2 Utilizing Mendelian Randomization to Investigate the Therapeutic Efficacy of Drugs Associated with Androgenetic Alopecia with DEEPCT Su Han Cho
F3 Pharmacogenomic Analysis of Korean Patients with Cognitive Impairment and Dementia SooYeon Park
F4 Elucidation of novel therapeutic targets in melanoma influencing mitochondrial biogenesis via STAT6 Soo Youn Lee
F5 Transcriptome-based systematic analysis of the molecular mechanisms of Bojungikki-Tang on immune cell networks sang yun kim
F6 Unraveling the Protective Mechanisms of Jakyak-gamcho-tang's Phytochemicals Against Muscle Atrophy Heerim Yeo
G. Phylogenetics
G1 Determining the full sequence of the chloroplast genome of Wolffia arrhiza (Lemnoideae) and analyzing its evolution to other members of the Araceae family Park Halim
G2 Genetic diversity-based design of Nipah virus Fusion protein vaccines candidate sequences in Malaysia, Bangladesh, and India. Min Su Yim
G3 Characterization of Bioleaching Efficiency by Acidophilic Iron Oxidizing Bacteria isolated from Abandoned Mining Area in South Korea Hyo Jung Lee
G4 Exploring Marmosets: Evaluation of Model Animals in Disease Systems and Drug Systems Jeawoon Ryu
H. Single Cell Sequencing
H1 Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses Andrew J. Lee
H2 Epigenetic Landscape of Adipocytes in T2DM: A Single-Cell Analysis Using sn-m3C-seq Chanho Park
H3 Gene regulatory network analysis on snRNAseq revealed key regulators for hepatocellular carcinoma progression Taehong Min
H4 Revealing Cell Type-Specific Transcriptional Signatures of Hippocampal Circuit in Fear Memory Network Jungeun Ji
H5 Analysis of various ion channel transcripts in CD4+ T cell subsets using single-cell RNA sequencing. Sujin Park
H6 Characterization of a novel epithelial cell type in sinonasal cavity and its potential disarray in patients having both upper and lower respiratory tract diseases Juhyun Kim
H7 Single-cell analysis of multiple cancers in the upper gastrointestinal tract uncovers immune characteristics of tumor microenvironments linked to the predictive biomarkers for immunotherapy Seungbyn Baek
H9 Unveiling resistance mechanisms of non-small cell lung cancer against third-generation EGFR tyrosine-kinase inhibitors through single-cell DNA sequencing Seungho Oh
H10 Spatial arrangement of disease-associated molecular signatures in the neurodegenerative human brain at single-cell resolution SE YOUNG JIN
H11 CD161+ TRM cells counteract HPV-associated clinical benefits in oropharyngeal cancer immunotherapy Junha Cha
H12 Comparative analysis of papillary and anaplastic thyroid cancer using single-cell transcriptomics Kwangmin Yoo
H13 Integrative analyses of single-nucleus and spatial transcriptome resolve neurodegenerative molecular ecosystem in the human brain Baekgyu Choi
H14 Human cell-type-specific network atlas (hcNETLAS) for connecting links from genes to cells to diseases Jiwon Yu
H15 Single-cell profiling unveils molecular insights and region-specific heterogeneity in the hippocampus during global ischemia Donghee Kwak
H16 Single-cell analysis reveals dysregulation of the immune system linked to poor prognosis in Fusobacterium nucleatum-infected colorectal cancer Ilseok Choi
H17 Ionizing radiation inhibits hatching of zebrafish embryo by inducing tissue inhibitors of metalloproteinases in transcriptional level Eun Jung Kwon
I. Protein / RNA Analysis, Structure, and Dynamics
I1 A comparative analysis of mRNA codon optimization methods Sangheon Lee
I2 Characterization of defense immune protein for Feline Infectious Peritonitis Virus (FIPV) Kyoungmin Lee
I3 Widespread 8-oxoguanine modifications of miRNA seeds differentially regulate redox-dependent liver cancer development Jongyeun Park
I4 Petabase-scale Homology Search for Structure Prediction Sewon Lee
I5 Reweighted ensemble structures of Aβ42 monomer using maximum entropy approach juhyeong jeon
I6 Machine Learning Approach for Understanding the Effect of CD33 and TREM2 in Alzheimer's Disease Jisu Jeong
I7 Single-molecule analysis on the interaction between translation, poly(A) tail, and diverse sequence context Seungbeom Han
I8 Alternative Splicing of RPS24 Plays a Role in Cancer Development and Progression JIYEON PARK
I9 Coevolution analysis of Intrinsically Disordered Proteins for characterizing complex functionalities Joongyu Heo
J. Computational Drug Discovery
J1 B cell epitope prediction using graph attention network and ESM-based pretrained protein model embeddings Sungjin Choi
J2 BEAR: a novel virtual screening method based on large-scale bioactivity data Wankyu Kim
J3 Molecular Modeling Approaches to Discover Novel PTP1B Inhibitors for Treatment of Type 2 Diabetes Therapy Yoon Sanghwa
J4 AMP-BERT: Prediction of antimicrobial peptide function based on a BERT model Hansol Lee
J5 Enhancing drug response prediction and interpretability through gene ontology and drug target information integration Yeojin Shin
J6 A Novel Framework for Drug Approval Prediction using Chemical Structure with Knowledge Distillation Changyun Cho
J7 Computer-aided screening for potential GSK-3β inhibitors: a combination of pharmacophore modeling, molecular docking simulation approaches Ju young Cho
J8 Graph Convolutional Network Model based on Drug-gene-disease Network for Drug Repurposing Jiwon Seo
J9 FragGNN: Enhancing Molecular Property Prediction through Fragment-based Hierarchical Graph Neural Networks Dohyeon Kim
J10 Computational Strategies for Discovering Positive Allosteric Modulators for A1AR Using Pharmacophore Modeling and Molecular Dynamics Insights Bilal
J11 Ensemble Models of Tensor Decomposition and Multi-layer Perceptron for Drug Repositioning Jong-Hoon, Park
J12 The Dr.Emb Appyter: A Web Platform for Drug Discovery using Embedding Vectors Songhyeon Kim
J13 BayeshERG: A Robust, Reliable, and Interpretable Deep Learning Model for Predicting hERG Channel Blockers Hyunho Kim
J14 Predicting optimal natural compounds that modulate multi-targets for type 2 diabetes mellitus-related complications Hee Yang
J15 Integration of multiple AI frameworks and data representations for enhancing the performance of predicting blood-brain barrier permeability Erkhembayar Jadamba
J16 Evaluating BERT-based large language models in target druggability prediction Sera Park
J17 An implementation of intelligent platform to identify new ADC targets Dae Sun Chung
J18 Transcriptome-based identification of drug mechanisms (KMAP Express_Education) Wankyu Kim
K. ML and AI in Medicine and Healthcare
K1 LOGICS: Learning optimal generative distribution for designing de novo chemical structures Bongsung Bae
K2 Identifying microRNAs associated with tumor immunotherapy response using an interpretable machine learning model Dong-Yeon Nam
K3 User-friendly automated analysis for diagnosis of repeat expansion disorders using targeted nanopore sequencing Yoojung Han
K4 AI-based Design of Augmented 5’UTR with a High Translational Efficiency Solbeen Kim
K5 Multi-task learning with modeling gene interaction using transformer for predicting patient outcomes Bonil Koo
K6 Multi-Task Aware Learnable Prototypes on Few Shot learning for Molecular Property Prediction Sangseon Lee
K7 Leveraging Computational Chemical-Induced Transcriptomic Cell State for Drug Response Prediction Through Transfer Learning Dongmin Bang
K8 Improving Out-of-Distribution Generalizations in Molecule Graphs with Hierarchical Semantic Environments Yinhua Piao
K9 Exploring ligand-receptor pairs associated to cancer immunotherapy responses using machine learning LeeHyunJi
K10 Predicting adverse drug reaction signal from medical data via systematic data preprocessing and machine learning Junhyeok Jeon
K11 Sequence-based prediction of anti-CRISPR proteins using transformer model Chan-Seok Jeong
K12 Multi-Channel Convolutional Neural Network Models for Personalized Anti-Epileptic Drug Suggestion Using Medical History Daeahn Cho
K13 Deconvolution of transcriptomic changes caused by drug multi-target perturbation using matrix factorization Jieun Sung
K14 DNA Sequence-Based Virus Classification Using Deep Learning and Machine Learning Kavya Dasaramoole Prakash
K15 AMPs-GCN: Classification of antimicrobial peptide activites based on graph convolutional network Young-Tae Won
K16 Between Rules and Virtues: Sentiment Insights into AI’s Ethical Landscape in Healthcare Kim Rubiga
K17 BlazePose-Assisted Frontal Gait Video Analysis: An Efficient Alternative for Biomechanical Assessment and Early Disease Detection Sung Hoon Choi
K18 Exploratory data analysis for predicting anticancer drug reactivity and mechanism of action Hanna Jeon
K19 Interpretation of anticancer drug action using predicted features obtained from machine learning YUSEONG KWON
K20 Omics-based drug response prediction via machine learning methods Min-Ju Kim
K21 Confidence Estimation of a Clinical Decision Support System for Determining the Colonoscopy-Surveillance Interval Nayeon Kim
K22 The Effectiveness of Transfer Learning in Predictive Modeling for Pediatric Cancers: Insights from VAECox Architecture Taewon Kim
K23 Development of Data/Model-based Ensemble Machine Learning Model for Prediction of Sepsis Severity Using Sepsis Genomic Synthetic Data Sooyoung Jang
K24 Sepsis diagnosis through cellular morphology with biological insights and interpretations Jong Hyun Kim
K25 Prediction of Alzheimer’s disease using AI model based on SNP chip data Myeongji Cho
K26 Developing Prompts from Large Language Model for Extracting Clinical Information from Pathology and Ultrasound Reports in Breast Cancer Bum-Sup Jang
K27 COVID-19 severity risk prediction with machine learning approaches Hye-Yeong Jo
K28 Estimation of immune cell type composition from microRNA expression data Seo-Young Park
L. etc
L1 SoyPedi: A breeder-friendly database for soybean cultivars based on phenotype-pedigree mapping information Min-Gyun Jeong
L2 Chromosome-Centric Human Proteome Report of Chromosome 11 Team Park MiNa
L3 CodeRbook: R package for Interactive Exploratory data analysis and for data checks to build metadata BYUNGJU KIM
L4 Characterization Services for Biopharmaceutical-producing Cell Line in Compliance with ICH Q5 JooYeon Lee
L5 A new strategy for glycopeptide enrichment using combining ZIC-HILIC and molecular weight cut-off filter KANG JI HYUN
L6 DNA-based MSA Transformer: Advancing DNA Feature Prediction Sukhwan Park
L7 Single Cell Data Analysis using Hierarchical Clustering Based on PCA with Fuzzy C-Means VIKAS SINGH
L8 CAFA-Powered Insights: Predicting Protein Function in the Post-Genomic Era Kim Rubiga
L9 STK6: a novel therapeutic target for incurable breast cancers Sung Baek Jeong
L10 NovoCert: Statistical validation of de novo peptide sequencing results ZHANG SHANJI
L11 Identification of genetic loci associated with skin aging traits in a large Korean population Joong-Gon Shin
L12 Nuclear transcription factor STAT6 regulates mitochondrial biogenesis through decrease of mitoribosome assembly factor MTG1. Hyunmi Kim
L13 Identification of microRNA regulating simultaneously gene expression associated with intramuscular fat deposition in Korean Native Cattle Jiyeon Lee
L14 An artificial intelligence tool to evaluate properties of SARS-CoV-2 mutations Do Young Seong
L15 An Implementation of Proactive Strategies for Clinical Genome and Transcriptome Data Utilization hyojeong park
L16 Algorithm Development for Analysis of O-GlcNAcylated Protein using LC-MS/MS DASOM AN
M. Systems Biology
M1 Understanding the molecular mechanisms of muscle atrophy: A single-nucleus transcriptome analysis of mice with dexamethasone-induced skeletal muscle atrophy Bumsuk Kim
M2 Generative model based on 3D molecule structure driven Atom-pair map Gina Ryu
M3 Investigating THBS1 for Overcoming Radioresistance in Head and Neck Squamous Cell Carcinoma (HNSCC) : Transcriptomic Insights and Drug Prediction Minji An
M4 Targeting Metabolic Genes in Drug-Resistant Breast Cancer Cells to Improve Their Drug Response by Using Genome-Scale Metabolic Models Hae Deok Jung
M5 Uncovering molecular mechanisms of muscle atrophy caused by different factors through a comprehensive transcriptome analysis Hanbi Lee
M6 Identification of therapeutic targets for muscle atrophy via analyzing transcriptomic profiles with systems biology Ahyoung Choi
M7 Leveraging Molecular Signature Tile Model (MSTM) and Multi-Modal Data for Advancing Personalized Cancer Care on Mobile Platforms Jeong Jeong
M8 Determining Bone Formation Metabolic Pathway Activity in the TgA86 Mouse Model of Spondyloarthritis through RNA-Seq Data Analysis Sanghyeon Yu
M9 Transcriptional and Metabolomic Changes in Primary Open-Angle Glaucoma Jisu Jeong
M10 Utilizing Systems Biology Methods to Explore the Effectiveness of Autoimmune Disease Medications in COVID-19 Patients Yoo Jin Sung
M11 The improved method to infer global gene regulatory network for investigating disease genes using High-Performance Computing resources Younghoon Kim
M12 Transcriptome-based clustering and analysis of NASH patient models reveals cluster-specific signatures and underlying disease mechanisms Gina Ryu
N. Biological Networks & Integrative Analysis
N1 Profiling of changes in gene expression associated with epigenetic changes in peripheral blood cells under hyperinsulinemic euglycemic clamp condition Minjae Joo
N2 TENET+: a tool for reconstructing gene networks by integrating single cell expression and chromatin accessibility data Hyeonkyu Kim
N3 Pan-cancer single epithelial cell analysis identified specific and common regulatory features of various cancers. Jaewoo Mo
N4 Synthetic lethality prediction via attentive knowledge graph neural network in the divergent human cancer cell-lines Songyeon Lee
N5 Validation of Network-Based Algorithm through Prediction of Drug Efficacy in Type 2 Diabetes Jiyeon Kim
N6 Improvement of human interactome with de novo network inference from single-cell atlas EuiJeong Sung
N7 MIMR: A web tool for integrated analysis of miRNA and mRNA using Random Walk with Restart kim dayeon
N8 Leveraging genetic effects in thyroid dysfunctions via cell type-specific network propagation Jaeseung Song
N9 Transcriptomic changes fatty liver in aging Kyuwon Son
N10 Glutamine-Independent Survival Mechanisms in Colorectal Cancer Cells: An Integrative RNA-seq, ATAC-seq, and miRNA-seq Study Ji-Yeon Lee
O. Public Health & Population Health Informatic
O1 Interactive web-based dashboard for examining the spatial and temporal dynamics of COVID-19 in South Korea Hanbyul Song
O2 Latent class growth analysis of COVID-19 pneumonia patients with longitudinal radiologic data for predicting severity and prognosis Seo Yeonju
O3 PhD student Kyulhee Han
O4 Discovering environment-based disease similarity network using NHANES datasets Younghoon Kim
P. Imaging Informatics
P1 subtyping of mild cognitive impairment using machine learning model based on multimodal neuroimaging data HyeRyeong Nam
P2 Development of Novel Video-based method for Epileptic Seizure Detection in Mice junaid khan
Q. Large language model (LLM) for healthcare applications
Q1 Developing Prompts from Large Language Model for Extracting Clinical Information from Pathological and Ultrasound Findings in Breast Cancer Bum-Sup Jang
R. Data Integration, Harmonization, and Ontology
R1 Virus Classification using Knowledge Graph Mikyung Je
R2 Advancements and prospects of PubCaseFinder, a generic name for three services related to rare and genetic diseases Jae-moon Shin
S. Multimodality modeling
S1 Gene expression Modeling for synthetic biology HongYeon Kim
T. Computational Phenotyping
T1 Sequence-based Prediction of Bacterial Essential Genes using Protein Language Models Seong-Bo Heo
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