Publications
Accurate affinity models for SH2 domains from peptide binding assays and free-energy regression
– Protein Sci
(2025)
34,
e70317
(doi: 10.1002/pro.70317)
Accurate sequence-to-affinity models for SH2 domains from multi-round peptide binding assays coupled with free-energy regression
(2025)
(doi: 10.1101/2024.12.23.630085)
Benchmarking and building DNA binding affinity models using allele-specific and allele-agnostic transcription factor binding data.
– Genome Biol
(2024)
25,
284
(doi: 10.1186/s13059-024-03424-2)
Private information leakage from single-cell count matrices.
– Cell
(2024)
187,
6537
(doi: 10.1016/j.cell.2024.09.012)
Benchmarking DNA binding affinity models using allele-specific transcription factor binding data
(2023)
(doi: 10.1101/2023.12.15.571887)
Identifying genetic regulatory variants that affect transcription factor activity
– Cell genomics
(2023)
3,
100382
(doi: 10.1016/j.xgen.2023.100382)
Prediction of protein-ligand binding affinity from sequencing data with interpretable machine learning
– Nature Biotechnology
(2022)
40,
1520
(doi: 10.1038/s41587-022-01307-0)
Probing molecular specificity with deep sequencing and biophysically interpretable machine learning
(2021)
(doi: 10.1101/2021.06.30.450414)
Integrative Analysis of Genome, 3D Genome, and Transcriptome Alterations of Clinical Lung Cancer Samples
– Genomics Proteomics and Bioinformatics
(2021)
19,
741
(doi: 10.1016/j.gpb.2020.05.007)
Cell-Cycle-Targeting MicroRNAs as Therapeutic Tools against Refractory Cancers
– Cancer Cell
(2017)
31,
576
(doi: 10.1016/j.ccell.2017.03.004)