| 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 | 101 | 2017 |
| Network propagation predicts drug synergy in cancers H Li, T Li, D Quang, Y Guan Cancer research 78 (18), 5446-5457, 2018 | 94 | 2018 |
| 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 | 76 | 2020 |
| Anchor: trans-cell type prediction of transcription factor binding sites H Li, D Quang, Y Guan Genome research 29 (2), 281-292, 2019 | 66 | 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 | 52 | 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 | 34 | 2018 |
| DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal H Li, Y Guan Communications biology 4 (1), 18, 2021 | 31 | 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 | 31 | 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 | 27 | 2020 |
| Comparative structural dynamic analysis of GTPases H Li, XQ Yao, BJ Grant PLoS computational biology 14 (11), e1006364, 2018 | 24 | 2018 |
| Three-plane–assembled deep learning segmentation of gliomas S Wu, H Li, D Quang, Y Guan Radiology: Artificial Intelligence 2 (2), e190011, 2020 | 23 | 2020 |
| 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 | 22 | 2020 |
| Fast decoding cell type–specific transcription factor binding landscape at single-nucleotide resolution H Li, Y Guan Genome research 31 (4), 721-731, 2021 | 21* | 2021 |
| Joint learning improves protein abundance prediction in cancers H Li, O Siddiqui, H Zhang, Y Guan BMC biology 17, 1-14, 2019 | 20 | 2019 |
| Representation of molecules for drug response prediction X An, X Chen, D Yi, H Li, Y Guan Briefings in Bioinformatics 23 (1), bbab393, 2022 | 19 | 2022 |
| Auto-annotating sleep stages based on polysomnographic data H Zhang, X Wang, H Li, S Mehendale, Y Guan Patterns 3 (1), 2022 | 17 | 2022 |
| Machine learning for cancer drug combination Z Wang, H Li, Y Guan Clinical pharmacology and therapeutics 107 (4), 749, 2020 | 16 | 2020 |
| Treatment stratification of patients with metastatic castration-resistant prostate cancer by machine learning K Deng, H Li, Y Guan Iscience 23 (2), 2020 | 15 | 2020 |
| TAIJI: approaching experimental replicates-level accuracy for drug synergy prediction H Li, S Hu, N Neamati, Y Guan Bioinformatics 35 (13), 2338-2339, 2019 | 15 | 2019 |
| Machine learning empowers phosphoproteome prediction in cancers H Li, Y Guan Bioinformatics 36 (3), 859-864, 2020 | 14 | 2020 |
