| Proteogenomic characterization of human early-onset gastric cancer DG Mun, J Bhin, S Kim, H Kim, JH Jung, Y Jung, YE Jang, JM Park, H Kim, ... Cancer cell 35 (1), 111-124. e10, 2019 | 207 | 2019 |
| Comparative analysis of whole-genome sequencing pipelines to minimize false negative findings KB Hwang, IH Lee, H Li, DG Won, C Hernandez-Ferrer, JA Negron, ... Scientific reports 9 (1), 3219, 2019 | 66 | 2019 |
| Integrated pharmaco-proteogenomics defines two subgroups in isocitrate dehydrogenase wild-type glioblastoma with prognostic and therapeutic opportunities S Oh, J Yeom, HJ Cho, JH Kim, SJ Yoon, H Kim, JK Sa, S Ju, H Lee, ... Nature communications 11 (1), 3288, 2020 | 59 | 2020 |
| Evaluating the effect of database inflation in proteogenomic search on sensitive and reliable peptide identification H Li, YS Joh, H Kim, E Paek, SW Lee, KB Hwang BMC genomics 17, 151-162, 2016 | 45 | 2016 |
| Survey of computational haplotype determination methods for single individual JK Rhee, H Li, JG Joung, KB Hwang, BT Zhang, SY Shin Genes & Genomics 38, 1-12, 2016 | 26 | 2016 |
| Estimating influence of cofragmentation on peptide quantification and identification in iTRAQ experiments by simulating multiplexed spectra H Li, KB Hwang, DG Mun, H Kim, H Lee, SW Lee, E Paek Journal of proteome research 13 (7), 3488-3497, 2014 | 18 | 2014 |
| Systematic comparison of false-discovery-rate-controlling strategies for proteogenomic search using spike-in experiments H Li, J Park, H Kim, KB Hwang, E Paek Journal of Proteome Research 16 (6), 2231-2239, 2017 | 14 | 2017 |
| An efficient and effective wrapper based on paired t-test for learning naive bayes classifiers from large-scale domains C Kim, H Li, SY Shin, KB Hwang Procedia Computer Science 23, 102-112, 2013 | 13 | 2013 |
| TIDD: tool-independent and data-dependent machine learning for peptide identification H Li, S Na, KB Hwang, E Paek BMC bioinformatics 23 (1), 109, 2022 | 2 | 2022 |
| Comparative Analysis of Assembly-based Insertion and Deletion Calling Tools D Liu, H Li, KB Hwang 한국정보과학회 학술발표논문집, 830-832, 2016 | | 2016 |
| 탠덤 질량 분석을 위한 디코이 데이터베이스생성 방법의 중복성 관점에서의 성능 평가 이홍란， 류단휘， 이기욱， 황규백 정보과학회 컴퓨팅의 실제 논문지 22 (1), 56-60, 2016 | | 2016 |
| A study on redundancy in decoy database for tandem spectrometry search H Li, D Liu, KB Hwang 한국정보과학회 학술발표논문집, 781-783, 2015 | | 2015 |
| 확률그래프모델을 이용한 MS/MS 기반 단백질 동정 기법 이홍란， 황규백 한국정보과학회 학술발표논문집 39 (1B), 426-428, 2012 | | 2012 |
| A Method for Protein Identification Based on MS/MS using Probabilistic Graphical Models HL Li, KB Hwang Proceedings of the Korean Information Science Society Conference, 426-428, 2012 | | 2012 |
