| 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 | 56 | 2020 |
| Benchmarked approaches for reconstruction of in vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees W Gong, AA Granados, J Hu, MG Jones, O Raz, I Salvador-Martínez, ... Cell systems 12 (8), 810-826. e4, 2021 | 37 | 2021 |
| Auto-annotating sleep stages based on polysomnographic data H Zhang, X Wang, H Li, S Mehendale, Y Guan Patterns 3 (1), 2022 | 17 | 2022 |
| Chloroplast microsatellite markers for Pseudotaxus chienii developed from the whole chloroplast genome of Taxus chinensis var. mairei (Taxaceae) Q Deng, H Zhang, Y He, T Wang, Y Su Applications in Plant Sciences 5 (3), 1600153, 2017 | 15 | 2017 |
| Comprehensive enhancer-target gene assignments improve gene set level interpretation of genome-wide regulatory data T Qin, C Lee, S Li, RG Cavalcante, P Orchard, H Yao, H Zhang, S Wang, ... Genome Biology 23 (1), 105, 2022 | 12 | 2022 |
| Heterogeneous digital biomarker integration out-performs patient self-reports in predicting Parkinson’s disease K Deng, Y Li, H Zhang, J Wang, RL Albin, Y Guan Communications biology 5 (1), 58, 2022 | 12 | 2022 |
| ASOs are an effective treatment for disease-associated oligodendrocyte signatures in premanifest and symptomatic SCA3 mice KH Schuster, AJ Zalon, DM DiFranco, AF Putka, NR Stec, SI Jarrah, ... Molecular Therapy 32 (5), 1359-1372, 2024 | 5 | 2024 |
| Machine learning for artemisinin resistance in malaria treatment across in vivo-in vitro platforms H Zhang, J Guo, H Li, Y Guan Iscience 25 (3), 2022 | 4 | 2022 |
| Harmonizing across datasets to improve the transferability of drug combination prediction H Zhang, Z Wang, Y Nan, B Zagidullin, D Yi, J Tang, Y Guan Communications Biology 6 (1), 397, 2023 | 2 | 2023 |
| Mapping combinatorial drug effects to DNA damage response kinase inhibitors H Zhang, J Kreis, SE Schelhorn, H Dahmen, T Grombacher, M Zühlsdorf, ... Nature Communications 14 (1), 8310, 2023 | 1 | 2023 |
| Timesias: A machine learning pipeline for predicting outcomes from time-series clinical records H Zhang, D Yi, Y Guan STAR protocols 2 (3), 100639, 2021 | 1 | 2021 |
| Protocol for using Ciclops to build models trained on cross-platform transcriptome data for clinical outcome prediction E Chou, H Zhang, Y Guan STAR protocols 3 (3), 101583, 2022 | | 2022 |
Hongyang LiPhD, IBM Research在 umich.edu 的电子邮件经过验证
