Author

Xiaohui Xie

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Aravind SubramanianiD· 1 shared Daniel Quang· 1 shared Hui Tang· 1 shared Nan Du· 1 shared Rajiv Narayan· 1 shared Wei FaniD· 1 shared Wentao ZhuiD· 1 shared Yi Li· 1 shared

Activity by Year

2015-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Aravind SubramanianORCID

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3 papers

Recent·Most cited

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

Wentao Zhu, Yufang Huang, Hui Tang, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie

AnatomyNet is a 3D squeeze-and-excitation U-Net for fast and automated whole-volume head and neck anatomical segmentation, achieving improved Dice similarity coefficients over existing methods.

bioRxiv · Aug 16, 2018 · PreprintBioengineering

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

Daniel Quang, Xiaohui Xie

DanQ is a hybrid neural network model that predicts noncoding DNA function by combining convolutional and recurrent layers, achieving significant improvements in predictive performance.

bioRxiv · Dec 20, 2015Genomics

Gene expression inference with deep learning

Yifei Chen, Yi Li, Rajiv Narayan, Aravind Subramanian, Xiaohui Xie

This paper introduces a deep learning method to infer gene expression from landmark genes, showing significant improvements over linear regression in multiple datasets.

bioRxiv · Dec 15, 2015Bioinformatics