Skip to Main Content

Author Details

Jingtian Zhou
2016
19
9
PMIDPaper TitleJournal TitlePublished Year
37066152Comparative single cell epigenomic analysis of gene regulatory programs in the rodent and primate neocortex.bioRxiv2023
38092917Single-cell analysis of chromatin accessibility in the adult mouse brain.Nature2023
38092918Conserved and divergent gene regulatory programs of the mammalian neocortex.Nature2023
38092919Brain-wide correspondence of neuronal epigenomics and distant projections.Nature2023
38092913Single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain.Nature2023
37577715scMD: cell type deconvolution using single-cell DNA methylation references.2023
37425926Human Immune Cell Epigenomic Signatures in Response to Infectious Diseases and Chemical Exposures.bioRxiv2023
37131654Single-cell DNA Methylome and 3D Multi-omic Atlas of the Adult Mouse Brain.bioRxiv2023
35419551Single nucleus multi-omics identifies human cortical cell regulatory genome diversity.Cell Genom2022
36070863Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data.Brief Bioinform2022
34616065Epigenomic diversity of cortical projection neurons in the mouse brain.Nature2021
31501549Simultaneous profiling of 3D genome structure and DNA methylation in single human cells.Nat Methods2019
31235599Robust single-cell Hi-C clustering by convolution- and random-walk-based imputation.Proc Natl Acad Sci U S A2019
30237449Robust single-cell DNA methylome profiling with snmC-seq2.Nat Commun2018
28798132Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex.Science2017
28957655Analysis of Ribosome Stalling and Translation Elongation Dynamics by Deep Learning.Cell Systems2017
28924171A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information.Nat Commun2017
27154509cOSPREY: A Cloud-Based Distributed Algorithm for Large-Scale Computational Protein Design.Journal of Computational Biology2016
26467480A deep learning framework for modeling structural features of RNA-binding protein targets.Nucleic Acids Res2016
  • 1 - 19 of 19

Recommended Authors

Collaborators

The Salk Institute for Biological Studies
Co-authored papers 13
The Salk Institute for Biological Studies
Co-authored papers 11
Center for Epigenomics, University of California San Diego
Co-authored papers 6
Allen Institute for Brain Science
Co-authored papers 4
University of California San Diego
Co-authored papers 4
Allen Institute for Brain Science
Co-authored papers 4
Allen Institute for Brain Science
Co-authored papers 3
The Salk Institute for Biological Studies
Co-authored papers 3
The Salk Institute for Biological Studies
Co-authored papers 3
Tsinghua University
Co-authored papers 2
Co-authored papers 2
Co-authored papers 2
Center for Epigenomics, University of California San Diego
Co-authored papers 2
Purdue University
Co-authored papers 2
University of Illinois
Co-authored papers 2
Co-authored papers 1
Co-authored papers 1
Co-authored papers 1
Co-authored papers 1
Co-authored papers 1
Center for Genomics and Systems Biology, New York University
Co-authored papers 1
Salk Institute for Biological Studies
Co-authored papers 1
Icahn School of Medicine at Mount Sinai
Co-authored papers 1
University of California Los Angeles
Co-authored papers 1
Duke University School of Medicine
Co-authored papers 1
University of California San Diego
Co-authored papers 1
Baylor College of Medicine
Co-authored papers 1
Georgia Institute of Technology
Co-authored papers 1
NVIDIA Corporation
Co-authored papers 1
University of California San Diego
Co-authored papers 1