A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data H Li, B Zhu, Z Xu, T Adams, N Kaminski, H Zhao BMC Bioinformatics 22 (1), 1-16, 2021 | 8 | 2021 |
Evaluating the Utilities of Foundation Models in Single-cell Data Analysis T Liu, K Li, Y Wang, H Li, H Zhao bioRxiv, 2024 | 4 | 2024 |
A Markov random field model-based approach for differentially expressed gene detection from single-cell RNA-seq data B Zhu, H Li, L Zhang, SS Chandra, H Zhao Briefings in Bioinformatics 23 (5), bbac166, 2022 | 4 | 2022 |
Functional annotation of the human PTSD methylome identifies tissue-specific epigenetic variation across subcortical brain regions H Li, J Wang, DA Cruz, JL Modliszewski, DL Corcoran, ... medRxiv, 2023.04.18.23288704, 2023 | 3 | 2023 |
Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data B Cai, J Zhang, H Li, C Su, H Zhao arXiv preprint arXiv:2209.04038, 2022 | 3 | 2022 |
Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease Y Xie, W Jiang, W Dong, H Li, SC Jin, M Brueckner, H Zhao PLoS Genetics 18 (6), e1010252, 2022 | 3 | 2022 |
Bayesian Hierarchical Media Mix Model Incorporating Reach and Frequency Data Y Zhang, M Wurm, A Wakim, E Li, Y Liu | 1 | 2023 |
Statistical methods for assessing the effects of de novo variants on birth defects Y Xie, R Wu, H Li, W Dong, G Zhou, H Zhao Human Genomics 18 (1), 25, 2024 | | 2024 |
A hierarchical Bayesian interaction model to estimate cell-type-specific methylation quantitative trait loci incorporating priors from cell-sorted bisulfite sequencing data Y Cheng, B Cai, H Li, X Zhang, G D'Souza, S Shrestha, A Edmonds, ... bioRxiv, 2024.02. 01.578272, 2024 | | 2024 |
Evaluating the Utilities of Large Language Models in Single-cell Data Analysis H Zhao, T Liu, K Li, Y Wang, H Li | | 2023 |
LDER-GE estimates phenotypic variance component of gene-environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information Z Dong, W Jiang, H Li, AT Dewan, H Zhao bioRxiv, 2023.11. 22.568329, 2023 | | 2023 |
A Proteome-wide, Multi-Omics Analysis Implicates Novel Protein Dysregulation in Post-Traumatic Stress Disorder J Wang, H Li, R Wilson, W Wang, TK Lam, ... medRxiv, 2023.05. 05.23289589, 2023 | | 2023 |
Mapping the Cell Type-Specific Regulome of PTSD in the Human Cortex M Girgenti, M Skarica, J Zhang, J Wang, H Li, D Cruz, D Williamson, ... NEUROPSYCHOPHARMACOLOGY 47 (SUPPL 1), 97-97, 2022 | | 2022 |
An Integrated Multi-Omics Analysis of PTSD Across Brain Regions and Cell Types V Martinez, J Wang, H Li, D Cruz, D Williamson, H Zhao, R Duman, ... NEUROPSYCHOPHARMACOLOGY 47 (SUPPL 1), 97-98, 2022 | | 2022 |
A Systematic Multi-omics Approach Identifies miRNA and Proteomic Dysregulation in Human Post-traumatic Stress Disorder MG Jiawei Wang, R. Wilson, H. Li, T. Lam, Angus. Nairn, Traumatic Stress ... American Society of Human Genetics Conference 2022, 2022 | | 2022 |
Genome-wide DNA methylation profiling in subcortical regions reveals epigenetic signatures associated with PTSD and MDD H Li, J Wang, D Cruz, TSBR Group, D Lewis, K John, R Duman, H Zhao, ... American Society of Human Genetics Conference 2022, 2022 | | 2022 |
Mechanisms of PTSD Molecular Pathology: Integration of Single Cell-Type Genomics M Girgenti, M Skarica, J Zhang, J Wang, H Li, K Young, H Zhao, N Sestan, ... NEUROPSYCHOPHARMACOLOGY 46 (SUPPL 1), 119-119, 2021 | | 2021 |