Feixiong Cheng

According to our database, Feixiong Cheng authored at least 45 papers between 2010 and 2024.

Collaborative distances:

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

2024

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.

Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang

npj Digit. Medicine, 2024

A Deep Multimodal Representation Learning Framework for Accurate Molecular Properties Prediction.

Yuxin Yang, Zixu Wang, Pegah Ahadian, Abby Jerger, Jeremy Zucker, Song Feng, Feixiong Cheng, Qiang Guan

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2022

Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework.

Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng

Nat. Mac. Intell., November, 2022

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

Chirag Gupta, Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar, Feixiong Cheng, Daifeng Wang

PLoS Comput. Biol., 2022

Multimodal machine learning in precision health: A scoping review.

Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo

npj Digit. Medicine, 2022

Multimodal Machine Learning in Precision Health.

Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo

CoRR, 2022

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

Xiaoqin Pan, Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng

CoRR, 2022

Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping.

Chang Su, Yu Hou, Jielin Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Yingying Zhu, Claire Henchcliffe, Feixiong Cheng, Fei Wang

Proceedings of the AMIA 2022, 2022

2021

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

Chuang Liu, Zhen Han, Zi-Ke Zhang, Ruth Nussinov, Feixiong Cheng

Bioinform., 2021

Artificial Intelligence for Drug Discovery.

Jian Tang, Fei Wang, Feixiong Cheng

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.

Chuang Liu, Junfei Zhao, Weiqiang Lu, Yao Dai, Jennifer Hockings, Yadi Zhou, Ruth Nussinov, Charis Eng, Feixiong Cheng

PLoS Comput. Biol., 2020

iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding.

Huiyuan Chen, Feixiong Cheng, Jing Li

PLoS Comput. Biol., 2020

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

Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng

CoRR, 2020

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

Xiangxiang Zeng, Siyi Zhu, Yuan Hou, Pengyue Zhang, Lang Li, Jing Li, L. Frank Huang, Stephen J. Lewis, Ruth Nussinov, Feixiong Cheng

Bioinform., 2020

2019

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

He Peng, Xiangxiang Zeng, Yadi Zhou, Defu Zhang, Ruth Nussinov, Feixiong Cheng

PLoS Comput. Biol., 2019

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

Ruth Nussinov, Hyunbum Jang, Chung-Jung Tsai, Feixiong Cheng

PLoS Comput. Biol., 2019

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

Ruth Nussinov, Hyunbum Jang, Chung-Jung Tsai, Feixiong Cheng

PLoS Comput. Biol., 2019

Correction to "admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties".

Feixiong Cheng, Weihua Li, Yadi Zhou, Jie Shen, Zengrui Wu, Guixia Liu, Philip W. Lee, Yun Tang

J. Chem. Inf. Model., 2019

Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity.

Chuipu Cai, Pengfei Guo, Yadi Zhou, Jingwei Zhou, Qi Wang, Fengxue Zhang, Jiansong Fang, Feixiong Cheng

J. Chem. Inf. Model., 2019

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

Xiangxiang Zeng, Siyi Zhu, Xiangrong Liu, Yadi Zhou, Ruth Nussinov, Feixiong Cheng

Bioinform., 2019

2018

In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers.

Chuipu Cai, Jiansong Fang, Pengfei Guo, Qi Wang, Huixiao Hong, Javid Moslehi, Feixiong Cheng

J. Chem. Inf. Model., 2018

In silico polypharmacology of natural products.

Jiansong Fang, Chuang Liu, Qi Wang, Ping Lin, Feixiong Cheng

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.

Jiansong Fang, Zengrui Wu, Chuipu Cai, Qi Wang, Yun Tang, Feixiong Cheng

J. Chem. Inf. Model., November, 2017

Entropy-based consensus clustering for patient stratification.

Hongfu Liu, Rui Zhao, Hongsheng Fang, Feixiong Cheng, Yun Fu, Yang-Yu Liu

Bioinform., 2017

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

Zengrui Wu, Feixiong Cheng, Jie Li, Weihua Li, Guixia Liu, Yun Tang

Briefings Bioinform., 2017

Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.

Feixiong Cheng, Huixiao Hong, Sheng-Yong Yang, Yuquan Wei

Briefings Bioinform., 2017

2016

Systems Biology-Based Investigation of Cellular Antiviral Drug Targets Identified by Gene-Trap Insertional Mutagenesis.

Feixiong Cheng, James L. Murray, Junfei Zhao, Jinsong Sheng, Zhongming Zhao, Donald H. Rubin

PLoS Comput. Biol., 2016

ccmGDB: a database for cancer cell metabolism genes.

Pora Kim, Feixiong Cheng, Junfei Zhao, Zhongming Zhao

Nucleic Acids Res., 2016

A network-based drug repositioning infrastructure for precision cancer medicine through targeting significantly mutated genes in the human cancer genomes.

Feixiong Cheng, Junfei Zhao, Michaela Fooksa, Zhongming Zhao

J. Am. Medical Informatics Assoc., 2016

Investigating cellular network heterogeneity and modularity in cancer: a network entropy and unbalanced motif approach.

Feixiong Cheng, Chuang Liu, Bairong Shen, Zhongming Zhao

BMC Syst. Biol., 2016

Systematic dissection of dysregulated transcription factor-miRNA feed-forward loops across tumor types.

Wei Jiang, Ramkrishna Mitra, Chen-Ching Lin, Quan Wang, Feixiong Cheng, Zhongming Zhao

Briefings Bioinform., 2016

Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes.

Feixiong Cheng, Junfei Zhao, Zhongming Zhao

Briefings Bioinform., 2016

2015

SGDriver: a novel structural genomics-based approach to prioritize cancer related and potentially druggable somatic mutations.

Junfei Zhao, Feixiong Cheng, Zhongming Zhao

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.

Feixiong Cheng, Chuang Liu, Chen-Ching Lin, Junfei Zhao, Peilin Jia, Wen-Hsiung Li, Zhongming Zhao

PLoS Comput. Biol., 2015

2014

<i>In Silico</i> Prediction of Chemical Acute Oral Toxicity Using Multi-Classification Methods.

Xiao Li, Lei Chen, Feixiong Cheng, Zengrui Wu, Hanping Bian, Congying Xu, Weihua Li, Guixia Liu, Xu Shen, Yun Tang

J. Chem. Inf. Model., 2014

2013

Adverse Drug Events: Database Construction and in Silico Prediction.

Feixiong Cheng, Weihua Li, Xichuan Wang, Yadi Zhou, Zengrui Wu, Jie Shen, Yun Tang

J. Chem. Inf. Model., 2013

Prediction of Polypharmacological Profiles of Drugs by the Integration of Chemical, Side Effect, and Therapeutic Space.

Feixiong Cheng, Weihua Li, Zengrui Wu, Xichuan Wang, Chen Zhang, Jie Li, Guixia Liu, Yun Tang

J. Chem. Inf. Model., 2013

2012

Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference.

Feixiong Cheng, Chuang Liu, Jing Jiang, Weiqiang Lu, Weihua Li, Guixia Liu, Wei-Xing Zhou, Jin Huang, Yun Tang

PLoS Comput. Biol., 2012

In silico Prediction of Chemical Ames Mutagenicity.

Congying Xu, Feixiong Cheng, Lei Chen, Zheng Du, Weihua Li, Guixia Liu, Philip W. Lee, Yun Tang

J. Chem. Inf. Model., 2012

Unbinding Pathways of GW4064 from Human Farnesoid X Receptor As Revealed by Molecular Dynamics Simulations.

Weihua Li, Jing Fu, Feixiong Cheng, Mingyue Zheng, Jian Zhang, Guixia Liu, Yun Tang

J. Chem. Inf. Model., 2012

admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties.

Feixiong Cheng, Weihua Li, Yadi Zhou, Jie Shen, Zengrui Wu, Guixia Liu, Philip W. Lee, Yun Tang

J. Chem. Inf. Model., 2012

In Silico Assessment of Chemical Biodegradability.

Feixiong Cheng, Yutaka Ikenaga, Yadi Zhou, Yue Yu, Weihua Li, Jie Shen, Zheng Du, Lei Chen, Congying Xu, Guixia Liu, Philip W. Lee, Yun Tang

J. Chem. Inf. Model., 2012

2011

Insights into Molecular Basis of Cytochrome P450 Inhibitory Promiscuity of Compounds.

Feixiong Cheng, Yue Yu, Yadi Zhou, Zhonghua Shen, Wen Xiao, Guixia Liu, Weihua Li, Philip W. Lee, Yun Tang

J. Chem. Inf. Model., 2011

Classification of Cytochrome P450 Inhibitors and Noninhibitors Using Combined Classifiers.

Feixiong Cheng, Yue Yu, Jie Shen, Lei Yang, Weihua Li, Guixia Liu, Philip W. Lee, Yun Tang

J. Chem. Inf. Model., 2011

2010

Estimation of ADME Properties with Substructure Pattern Recognition.

Jie Shen, Feixiong Cheng, You Xu, Weihua Li, Yun Tang

J. Chem. Inf. Model., 2010