Di He

According to our database, Di He authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins.

Tian Cai, Li Xie, Shuo Zhang, Muge Chen, Di He, Amitesh Badkul, Yang Liu, Hari Krishna Namballa, Michael Dorogan, Wayne W. Harding, Cameron Mura, Philip E. Bourne, Lei Xie

PLoS Comput. Biol., January, 2023

2022

A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening.

Di He, Qiao Liu, You Wu, Lei Xie

Nat. Mac. Intell., October, 2022

2021

Learn Biologically Meaningful Representation with Transfer Learning.

Di He

PhD thesis, 2021

Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology.

Tian Cai, Li Xie, Muge Chen, Yang Liu, Di He, Shuo Zhang, Cameron Mura, Philip E. Bourne, Lei Xie

CoRR, 2021

CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics.

Di He, Lei Xie

CoRR, 2021

A cross-level information transmission network for hierarchical omics data integration and phenotype prediction from a new genotype.

Di He, Lei Xie

Bioinform., 2021

2020

A Cross-Level Information Transmission Network for Predicting Phenotype from New Genotype: Application to Cancer Precision Medicine.

Di He, Lei Xie

CoRR, 2020

2019

Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature.

Qiao Liu, Di He, Lei Xie

PLoS Comput. Biol., 2019

Rational discovery of dual-indication multi-target PDE/Kinase inhibitor for precision anti-cancer therapy using structural systems pharmacology.

Hansaim Lim, Di He, Yue Qiu, Patrycja Krawczuk, Xiaoru Sun, Lei Xie

PLoS Comput. Biol., 2019

2018

Association rule mining algorithms on high-dimensional datasets.

Dongmei Ai, Hongfei Pan, Xiaoxin Li, Yingxin Gao, Di He

Artif. Life Robotics, 2018

2017

JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data.

Jiadong Ji, Di He, Yang Feng, Yong He, Fuzhong Xue, Lei Xie

Bioinform., 2017

2016

Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing.

Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie

PLoS Comput. Biol., 2016