Sunkyu Kim, Ph.D.

Director of AI research
AIGEN Sciences, Seoul, Korea
[Curriculum Vitae]  [Github] [Google Scholar

Research area

News

Awards

Education

Selected Publications

Deep-Learning-Based Natural Language Processing of Serial Free-Text Radiological Reports for Predicting Rectal Cancer Patient Survival

Sunkyu Kim†, Choong-kun Lee†, Yonghwa Choi, Eun Sil Baek, Jeong Eun Choi, Joon Seok Lim, Jaewoo Kang* and Sang Joon Shin*

Frontiers in Oncology, Nov. 2021 (IF: 6.244)

Improved survival analysis by learning shared genomic information from pan-cancer data

Sunkyu Kim, Keonwoo Kim, Junseok Choe, Inggeol Lee, Jaewoo Kang*

ISMB 2020 (Oral presentation, acceptance rate: 13.8%); Bioinformatics, July 2020 (IF: 5.610)

BioBERT: pre-trained biomedical language representation model for biomedical text mining

Jinhyuk Lee†, Wonjin Yoon†, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang*

Bioinformatics, Feb. 2020 (IF: 4.531)

ChimerDB 4.0: an updated and expanded database of fusion genes

Ye Eun Jang†, Insu Jang†, Sunkyu Kim†, Subin Cho†, Daehan Kim, Keonwoo Kim, Jaewon Kim, Jimin Hwang, Sangok Kim, Jaesang Kim, Jaewoo Kang, Byungwook Lee*, Sanghyuk Lee*

Nucleic Acids Research, Jan. 2020 (IF: 11.147)

Mut2Vec: distributed representation of cancerous mutations

Sunkyu Kim†, Heewon Lee†, Keonwoo Kim, Jaewoo Kang*

BMC medical genomics, Apr. 2018