Feixiong Cheng

Orcid: 0000-0002-1736-2847

According to our database1, Feixiong Cheng authored at least 43 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework.
Nat. Mac. Intell., November, 2022

Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease.
PLoS Comput. Biol., 2022

Multimodal machine learning in precision health: A scoping review.
npj Digit. Medicine, 2022

Multimodal Machine Learning in Precision Health.
CoRR, 2022

Deep learning for drug repurposing: methods, databases, and applications.
CoRR, 2022

Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping.
Proceedings of the AMIA 2022, 2022

2021
A network-based deep learning methodology for stratification of tumor mutations.
Bioinform., 2021

Artificial Intelligence for Drug Discovery.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Individualized genetic network analysis reveals new therapeutic vulnerabilities in 6, 700 cancer genomes.
PLoS Comput. Biol., 2020

iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding.
PLoS Comput. Biol., 2020

Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning.
CoRR, 2020

Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest.
Bioinform., 2020

2019
A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications.
PLoS Comput. Biol., 2019

Correction: Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers.
PLoS Comput. Biol., 2019

Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers.
PLoS Comput. Biol., 2019

Correction to "admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties".
J. Chem. Inf. Model., 2019

Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity.
J. Chem. Inf. Model., 2019

deepDR: a network-based deep learning approach to in silico drug repositioning.
Bioinform., 2019

2018
In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers.
J. Chem. Inf. Model., 2018

In silico polypharmacology of natural products.
Briefings Bioinform., 2018

2017
Quantitative and Systems Pharmacology. 1. <i>In Silico</i> Prediction of Drug-Target Interactions of Natural Products Enables New Targeted Cancer Therapy.
J. Chem. Inf. Model., November, 2017

Entropy-based consensus clustering for patient stratification.
Bioinform., 2017

SDTNBI: an integrated network and chemoinformatics tool for systematic prediction of drug-target interactions and drug repositioning.
Briefings Bioinform., 2017

Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.
Briefings Bioinform., 2017

2016
Systems Biology-Based Investigation of Cellular Antiviral Drug Targets Identified by Gene-Trap Insertional Mutagenesis.
PLoS Comput. Biol., 2016

ccmGDB: a database for cancer cell metabolism genes.
Nucleic Acids Res., 2016

A network-based drug repositioning infrastructure for precision cancer medicine through targeting significantly mutated genes in the human cancer genomes.
J. Am. Medical Informatics Assoc., 2016

Investigating cellular network heterogeneity and modularity in cancer: a network entropy and unbalanced motif approach.
BMC Syst. Biol., 2016

Systematic dissection of dysregulated transcription factor-miRNA feed-forward loops across tumor types.
Briefings Bioinform., 2016

Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes.
Briefings Bioinform., 2016

2015
SGDriver: a novel structural genomics-based approach to prioritize cancer related and potentially druggable somatic mutations.
BMC Bioinform., December, 2015

A Gene Gravity Model for the Evolution of Cancer Genomes: A Study of 3, 000 Cancer Genomes across 9 Cancer Types.
PLoS Comput. Biol., 2015

2014
<i>In Silico</i> Prediction of Chemical Acute Oral Toxicity Using Multi-Classification Methods.
J. Chem. Inf. Model., 2014

2013
Adverse Drug Events: Database Construction and in Silico Prediction.
J. Chem. Inf. Model., 2013

Prediction of Polypharmacological Profiles of Drugs by the Integration of Chemical, Side Effect, and Therapeutic Space.
J. Chem. Inf. Model., 2013

2012
Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference.
PLoS Comput. Biol., 2012

In silico Prediction of Chemical Ames Mutagenicity.
J. Chem. Inf. Model., 2012

Unbinding Pathways of GW4064 from Human Farnesoid X Receptor As Revealed by Molecular Dynamics Simulations.
J. Chem. Inf. Model., 2012

admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties.
J. Chem. Inf. Model., 2012

In Silico Assessment of Chemical Biodegradability.
J. Chem. Inf. Model., 2012

2011
Insights into Molecular Basis of Cytochrome P450 Inhibitory Promiscuity of Compounds.
J. Chem. Inf. Model., 2011

Classification of Cytochrome P450 Inhibitors and Noninhibitors Using Combined Classifiers.
J. Chem. Inf. Model., 2011

2010
Estimation of ADME Properties with Substructure Pattern Recognition.
J. Chem. Inf. Model., 2010


  Loading...