Publications

Preprints/Submitted

  • Sahar JavadiYue LiJie ShengLucy ZhaoYao Fu, Daifeng Wang, Xinyu Zhao, Sustained correction of hippocampal neurogenic and cognitive deficits after a brief treatment by Nutlin-3 in a mouse model of Fragile X Syndrome, submitted, Biorxiv
  • Chirag Gupta, Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar, Feixiong Cheng, Daifeng Wang, Single-cell network biology characterizes cell-type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s disease, submitted, Biorxiv
  • Chirag Gupta, Pramod Chandrashekar, Chenfeng He, Ting Jin, Saniya Khullar, Qiang Chang, Daifeng Wang, Bringing artificial intelligence to research on intellectual and developmental disabilities, in revision
  • Shuang Liu*, Hyejung Won*, Declan Clarke*, Nana Matoba, Saniya Khullar, Yudi Mu, Daifeng Wang#, Mark Gerstein#, Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex, in revision, Biorxiv
  • Saniya Khullar, Daifeng Wang, Predicting gene regulatory networks from multi-omics to link genetic risk variants and neuroimmunology to Alzheimer’s disease phenotypes, under review, Biorxiv
  • Yathindar Giffin-Rao, Bennett Strand, Leslie Huang, Margaret Medo, Bradley Levesque, Roger A Daley Jr., Lindsey Amundson, Aratrika Keshan, Rebecca Reese, Daifeng Wang, Su-Chun Zhang, Anita Bhattacharyya, Altered patterning of interneuron progenitors in Down syndrome, in revision, Biorxiv
  • Jillian R. Haney, Brie Wamsley, George T. Chen, Sepideh Parhami, Prashant S. Emani, Nathan Chang, Gil D. Hoftman, Diego de Alba, Gaurav Kale, Gokul Ramaswami, Christopher L. Hartl, Ting Jin, Daifeng Wang, Jing Ou, Ye Emily Wu, Neelroop N. Parikshak, Vivek Swarup, T. Grant Belgard, Mark Gerstein, Bogdan Pasaniuc, Michael J. Gandal, Daniel H. Geschwind, Broad transcriptomic dysregulation across the cerebral cortex in ASD, in revision, Biorxiv

Papers

(*co-first-author, equal contribution; # co-corresponding author)

2022

  • Nam D Nguyen, Jiawei Huang, Daifeng Wang, a deep manifold-regularized learning model for improving phenotype prediction from multi-modal data, accepted, Nature Computational Science
  • Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang-Xiang Wu, Xing-Ming Zhao, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang, Genome-wide prediction and integrative functional characterization of Alzheimer’s disease-associated genes, accepted, Briefings in Bioinformatics

2021

2020

2019

2018

2017

2016

2012-2015

Before 2011

Book reviews and chapters