Network propagation predicts drug synergy in cancers H Li, T Li, D Quang, Y Guan Cancer research 78 (18), 5446-5457, 2018 | 109 | 2018 |
Computational and biochemical characterization of two partially overlapping interfaces and multiple weak-affinity K-Ras dimers P Prakash, A Sayyed-Ahmad, KJ Cho, DM Dolino, W Chen, H Li, BJ Grant, ... Scientific reports 7 (1), 40109, 2017 | 106 | 2017 |
Recognizing basal cell carcinoma on smartphone‐captured digital histopathology images with a deep neural network YQ Jiang, JH Xiong, HY Li, XH Yang, WT Yu, M Gao, X Zhao, YP Ma, ... British Journal of Dermatology 182 (3), 754-762, 2020 | 80 | 2020 |
Anchor: trans-cell type prediction of transcription factor binding sites H Li, D Quang, Y Guan Genome research 29 (2), 281-292, 2019 | 72 | 2019 |
Deep learning identifies digital biomarkers for self-reported Parkinson's disease H Zhang, K Deng, H Li, RL Albin, Y Guan Patterns 1 (3), 2020 | 63 | 2020 |
DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal H Li, Y Guan Communications biology 4 (1), 18, 2021 | 42 | 2021 |
FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples Y Xiao, X Wang, H Zhang, PJ Ulintz, H Li, Y Guan Nature communications 11 (1), 4469, 2020 | 39 | 2020 |
Accurate prediction of personalized olfactory perception from large-scale chemoinformatic features H Li, B Panwar, GS Omenn, Y Guan Gigascience 7 (2), gix127, 2018 | 39 | 2018 |
Representation of molecules for drug response prediction X An, X Chen, D Yi, H Li, Y Guan Briefings in Bioinformatics 23 (1), bbab393, 2022 | 36 | 2022 |
Community assessment of the predictability of cancer protein and phosphoprotein levels from genomics and transcriptomics M Yang, F Petralia, Z Li, H Li, W Ma, X Song, S Kim, H Lee, H Yu, B Lee, ... Cell systems 11 (2), 186-195. e9, 2020 | 28 | 2020 |
Cellular, transcriptomic and isoform heterogeneity of breast cancer cell line revealed by full-length single-cell RNA sequencing S Wu, H Zhang, S Fouladdel, H Li, E Keller, MS Wicha, GS Omenn, ... Computational and Structural Biotechnology Journal 18, 676-685, 2020 | 28 | 2020 |
Auto-annotating sleep stages based on polysomnographic data H Zhang, X Wang, H Li, S Mehendale, Y Guan Patterns 3 (1), 2022 | 26 | 2022 |
Three-plane–assembled deep learning segmentation of gliomas S Wu, H Li, D Quang, Y Guan Radiology: Artificial Intelligence 2 (2), e190011, 2020 | 25 | 2020 |
Comparative structural dynamic analysis of GTPases H Li, XQ Yao, BJ Grant PLoS computational biology 14 (11), e1006364, 2018 | 24 | 2018 |
Fast decoding cell type–specific transcription factor binding landscape at single-nucleotide resolution H Li, Y Guan Genome research 31 (4), 721-731, 2021 | 23* | 2021 |
Joint learning improves protein abundance prediction in cancers H Li, O Siddiqui, H Zhang, Y Guan BMC biology 17, 1-14, 2019 | 22 | 2019 |
Detecting asymmetric patterns and localizing cancers on mammograms Y Guan, X Wang, H Li, Z Zhang, X Chen, O Siddiqui, S Nehring, X Huang Patterns 1 (7), 2020 | 18 | 2020 |
Challenge-enabled machine learning to drug-response prediction Z Wang, H Li, C Carpenter, Y Guan The AAPS journal 22, 1-6, 2020 | 18 | 2020 |
Treatment stratification of patients with metastatic castration-resistant prostate cancer by machine learning K Deng, H Li, Y Guan Iscience 23 (2), 2020 | 18 | 2020 |
A crowdsourcing approach to develop machine learning models to quantify radiographic joint damage in rheumatoid arthritis D Sun, TM Nguyen, RJ Allaway, J Wang, V Chung, VY Thomas, M Mason, ... JAMA network open 5 (8), e2227423-e2227423, 2022 | 17 | 2022 |