Welcome to DataLab!

Looking for passionate Ph. D. and M.S. students who want to study the research area of data science and Bioinformatics.
If interested, please contact to Dr. Gangman Yi.

Research Area

Research Area

Research

T-MDML

T-MDML

T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation The multi-instance multi-label (MIML) problem is a new supervised learning paradigm that has emerged to efficiently represent...

2024-12-10

DeepPI

DeepPI

DeepPI: Alignment‑Free Analysis of Flexible Length Proteins Based on Deep Learning and Image Generator With the rapid development of NGS technology, the number of protein sequences has increased exponentially. Computational...

2024-02-03

Gene Annotation

Gene Annotation

Next-generation sequencing (NGS) technologies have led to the accumulation of high-throughput sequence data from various organisms in biology. To apply gene annotation of organellar genomes for various organisms, more optimized...

2019-12-15

geneCo

geneCo

geneCo: A visualized comparative genomic method to analyze multiple genome structures method to analyze multiple genome structures In comparative and evolutionary genomics, a detailed comparison of common features between organisms...

2019-01-27

News!

[2025.03] 양진경 석사과정이 '2025년도 여대학원생 공학연구팀제 심화과정: 약물-표적 상호작용 예측을 위한 그래프 신경망 모델 개발 연구' 지원사업에 선정되었습니다.

[2025.03] Minseop joined the lab as a master's student

[2025.03] Ilkhomjon joined the lab as a Ph.D. student

[2025.02] Seungmin graduated with a master's degree

[2025.02] Poster accepted to RECOMB 2025: Jinkyung Yang, Yejin Kan and Gangman Yi, “CNGNN-DTI: Integration of Context and Neighbor Information based on Graph Neural Network for Drug-target Interaction Prediction”

[2024.12] Paper accepted to AAAI 2025: Dongyeon Kim, Yejin Kan and Gangman Yi, “T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation”

[2024.08] Yerin graduated with a master's degree

[2024.05] Poster accepted to ECCB 2024: Yejin Kan, Jinkyung Yang and Gangman Yi, “Integration of Multi-view Features of Protein Sequences for Improved Protein Function Prediction”

Researcher Recruitment

Looking for passionate Ph. D. and M.S. students who want to study the research areaa of data science and Bioinformactics.
데이터 사이언스 및 바이오인포매틱스 연구 분야를 공부하고자 하는 박사/석사 과정 학생을 찾습니다.