Bioinformatics

De novo epitope-specific antibody design via time-dependent guidance

Yunji Kim, Minkyung Baek*

Improving hit discovery by integrating activity cliff sensitivity into active learning

Kim J, Kim Y, Koo B, Bang D, Kim S

ADME-Drug-Likeness: Enriching Molecular Foundation Models via Pharmacokinetics-Guided Multi-Task Learning for Drug-likeness Prediction

Bang D, Kim J, Song H, Kim S

MixingDTA: Improved Drug-Target Affinity Prediction by Extending Mixup with Guilt-By-Association

Kim Y, Bang D, Koo B, Yi J, Cho C, Choi J, Kim S

PTL-PRS: an R package for transfer learning of polygenic risk scores with pseudovalidation

Bokeum Cho*, Seunggeun Lee

XPRS: a tool for interpretable and explainable polygenic risk score

Na Yeon Kim*, Seunggeun Lee

PONYTA: prioritization of phenotype-related genes from mouse KO events using PU learning on a biological network

Kim J, Koo B, Kim S

Transfer Learning of Condition-Specific Perturbation in Gene Interactions Improves Drug Response Prediction

Bang D, Koo B, Kim S

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning

Junseok Lee, Sungwon Kim, Dongmin Hyun, Namkyeong Lee, Yejin Kim, Chanyoung Park

GOAT: Gene-level biomarker discovery from multi-Omics data using graph ATtention neural network for eosinophilic asthma subtype

Jeong D, Koo B, Oh M, Kim TB, Kim S

Reducing cost in DNA-based data storage by sequence analysis-aided soft information decoding of variable-length reads

Seong-Joon Park, Sunghwan Kim, Jaeho Jeong, Albert No, Jong-Seon No, Hosung Park