Author

Xue Zhang

Tufts UniversityORCID 0000-0002-9120-0459Unclaimed ORCID profile · follow to get notified of new preprints

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Xue Zhang6 papers · Chinese Academy of Medical Sciences & Peking Union Medical College

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:DNA methylation· 3 Organism:human· 3 Assay:protein sequence· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Research Focus:drug response / drug discovery· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Wangxin XiaoiD· 3 shared Weijia XiaoiD· 3 shared Brent CochraniD· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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3 shared papersBioinformatics

Wangxin XiaoORCID

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3 papers

Recent·Most cited

DeEPsnap: human essential gene prediction by integrating multi-omics data

Xue Zhang, Weijia Xiao, Brent Cochran, Wangxin Xiao

DeEPsnap predicts human essential genes by integrating multi-omics data using a snapshot ensemble deep neural network, achieving high accuracy in cross-validation.

bioRxiv · Jun 20, 2024 · PreprintBioinformatics

DeepHE: Accurately Predicting Human Essential Genes based on Deep Learning

Xue Zhang, Wangxin Xiao, Weijia Xiao

DeepHE predicts human essential genes using deep learning by integrating sequence and PPI network features, achieving high AUC, AP, and accuracy.

PLoS Computational Biology · Sep 16, 2020Peer-reviewedBioinformatics

A Deep Learning Framework for Predicting Human Essential Genes by Integrating Sequence and Functional data

Xue Zhang, Weijia Xiao, Wangxin Xiao

This paper introduces DeepSF, a deep learning framework that predicts human essential genes by integrating sequence and functional data, achieving high accuracy and outperforming traditional methods.

bioRxiv · Aug 4, 2020 · PreprintBioinformatics