Xun Zhu

发表

Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer

Harvey Risch, Runmin Wei, Xun Zhu, 2016, Oncotarget.

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Xun Zhu, L. Garmire, Olivier B. Poirion, 2019, Genome Biology.

Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization

S. Weissman, Xinghua Pan, Xun Zhu, 2017, PeerJ.

Using single-cell multiple omics approaches to resolve tumor heterogeneity

Xun Zhu, Lana X. Garmire, Thomas K. Wolfgruber, 2017, Clinical and Translational Medicine.

mirMark: a site-level and UTR-level classifier for miRNA target prediction

Xun Zhu, Lana X Garmire, Mark Menor, 2014, Genome Biology.

Pan-Cancer Analyses Reveal Long Intergenic Non-Coding RNAs Relevant to Tumor Diagnosis, Subtyping and Prognosis

M. Tiirikainen, Herbert Yu, R. Fan, 2016, EBioMedicine.

Maternal cardiovascular-related single nucleotide polymorphisms, genes, and pathways associated with early-onset preeclampsia

Xun Zhu, L. Garmire, T. Ching, 2019, PloS one.

Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization

S. Weissman, Xinghua Pan, Xun Zhu, 2017, PeerJ.

GranatumX: A Community-engaging, Modularized, and Flexible Webtool for Single-cell Data Analysis

Thomas K. Wolfgruber, D. Garmire, Xun Zhu, 2018, Genom. Proteom. Bioinform..

Detecting heterogeneity in single-cell RNA-Seq 1 data by non-negative matrix factorization 2 3

S. Weissman, Xinghua Pan, Xun Zhu, 2017 .

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

Travers Ching, Xun Zhu, Olivier B. Poirion, 2016, Front. Genet..

Data Analysis in Single-Cell RNA-Seq

Xun Zhu, Lana X. Garmire, Xun Zhu, 2019, Single-Cell Omics.

mirMark: a site-level and UTR-level classifier for miRNA target prediction

D. Garmire, Xun Zhu, L. Garmire, 2014, Genome Biology.

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Lana X. Garmire, Xun Zhu, Breck Yunits, 2018, Genome Biology.

Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage

Xun Zhu, L. Garmire, T. Ching, 2016, bioRxiv.

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Xun Zhu, L. Garmire, Olivier B. Poirion, 2019, Genome Biology.

Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists

Thomas K. Wolfgruber, D. Garmire, Xun Zhu, 2017, bioRxiv.

Time Series miRNA-mRNA integrated analysis reveals critical miRNAs and targets in macrophage polarization

Xun Zhu, Maarit Tiirikainen, Lana X. Garmire, 2016, Scientific Reports.

Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

Xun Zhu, Lana X. Garmire, Travers Ching, 2018, PLoS Comput. Biol..

Single cell transcriptomics reveals unanticipated features of early hematopoietic precursors

Xun Zhu, Yuval Kluger, Sherman Morton Weissman, 2016, Nucleic acids research.

Cox-nnet: an artificial neural network method for prognosis prediction on high-throughput omics data

Xun Zhu, L. Garmire, T. Ching, 2016, bioRxiv.

Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage

Xun Zhu, Lana X Garmire, Travers Ching, 2016, Nature Communications.

Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists

Xun Zhu, Lana X. Garmire, Thomas K. Wolfgruber, 2017, Genome Medicine.