A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists

BMC Bioinformatics 

Jooseong Oh, Hyi-thaek Ceong, Dokyun Na, Chungoo Park

Avoiding background knowledge: literature based discovery from important information

BMC Bioinformatics 

Judita Preiss

Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients

BMC Bioinformatics 

Seungwon Oh, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim

Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression level

BMC Bioinformatics 

Sung-Gwon Lee, Dokyun Na, Chungoo Park

PIC-Me: paralogs and isoforms classifier based on machine-learning approaches

BMC Bioinformatics 

Jooseong Oh, Sung-Gwon Lee, Chungoo Park

A sui generis QA approach using RoBERTa for adverse drug event identification

BMC Bioinformatics 

Harshit Jain, Nishant Raj, Suyash Mishra

Context-aware multi-token concept recognition of biological entities

BMC Bioinformatics 

Kwangmin Kim, Doheon Lee

Using neural networks to support high-quality evidence mapping

BMC Bioinformatics 

Thomas B. Røst, Laura Slaughter, Øystein Nytrø, Ashley E. Muller, Gunn E. Vist 

Korean clinical entity recognition from diagnosis text using BERT

BMC medical informatics and decision making 

Young-Min Kim, Tae-Hoon Lee

2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor

BMC Bioinformatics 

Myeong-Sang Yu, Jingyu Lee, Yongmin Lee, Dokyun Na