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Xiaohui Xie
Researcher at University of California, Irvine
Publications - 351
Citations - 34195
Xiaohui Xie is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 58, co-authored 220 publications receiving 29844 citations. Previous affiliations of Xiaohui Xie include University of California, Berkeley & National Chiao Tung University.
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Journal ArticleDOI
FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data.
Daniel Quang,Xiaohui Xie +1 more
TL;DR: A convolutional-recurrent neural network model, called FactorNet, is developed to computationally impute the missing binding data in transcription factors and cell types, ranked among the top teams in the ENCODE-DREAM in vivo Transcription Factor Binding Site Prediction Challenge.
Journal ArticleDOI
MotifMap: a human genome-wide map of candidate regulatory motif sites
TL;DR: This work combines information from multiple mammalian genomes to derive the first fairly comprehensive map of regulatory elements in the human genome using a new scoring scheme, the Bayesian branch length score (BBLS), which provides a systematic view of gene regulation in the genome.
Proceedings ArticleDOI
VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature Preservation
TL;DR: A key innovation of VTNFP is the body segmentation map prediction module, which provides critical information to guide image synthesis in regions where body parts and clothing intersects, and is very beneficial for preventing blurry pictures and preserving clothing and body part details.
Journal ArticleDOI
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy.
Wentao Zhu,Yufang Huang,Liang Zeng,Xuming Chen,Yong Liu,Zhen Qian,Nan Du,Wei Fan,Xiaohui Xie +8 more
TL;DR: In this article, a 3D U-Net-based model, called AnatomyNet, was proposed to segment nine anatomies from head and neck CT images in an end-to-end fashion.
Journal ArticleDOI
SNP-based pathway enrichment analysis for genome-wide association studies
Lingjie Weng,Fabio Macciardi,Aravind Subramanian,Guia Guffanti,Steven G. Potkin,Zhaoxia Yu,Xiaohui Xie +6 more
TL;DR: The SNP-based pathway enrichment method described here offers a new alternative approach for analysing GWAS data, and is able to identify statistically significant pathways, and importantly, pathways that can be replicated in large genetically distinct samples.