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Xun Zhu
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Cox-nnet: an artificial neural network method for prognosis prediction of high-throughput omics data
T Ching, X Zhu, LX Garmire
PLoS computational biology 14 (4), e1006076, 2018
3582018
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
C Arisdakessian, O Poirion, B Yunits, X Zhu, LX Garmire
Genome biology 20, 1-14, 2019
2362019
Single-cell transcriptomics bioinformatics and computational challenges
OB Poirion, X Zhu, T Ching, L Garmire
Frontiers in genetics 7, 207977, 2016
1272016
Analysis of the human protein atlas image classification competition
W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Åkesson, H Xu, ...
Nature methods 16 (12), 1254-1261, 2019
1082019
Time Series miRNA-mRNA integrated analysis reveals critical miRNAs and targets in macrophage polarization
L Lu, S McCurdy, S Huang, X Zhu, K Peplowska, M Tiirikainen, ...
Scientific reports 6 (1), 37446, 2016
882016
Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization
X Zhu, T Ching, X Pan, SM Weissman, L Garmire
PeerJ 5, e2888, 2017
862017
Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists
X Zhu, TK Wolfgruber, A Tasato, C Arisdakessian, DG Garmire, ...
Genome medicine 9, 1-12, 2017
742017
Using single-cell multiple omics approaches to resolve tumor heterogeneity
MA Ortega, O Poirion, X Zhu, S Huang, TK Wolfgruber, R Sebra, ...
Clinical and translational medicine 6, 1-16, 2017
732017
Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
O Poirion, X Zhu, T Ching, LX Garmire
Nature communications 9 (1), 4892, 2018
582018
mirMark: a site-level and UTR-level classifier for miRNA target prediction
M Menor, T Ching, X Zhu, D Garmire, LX Garmire
Genome biology 15, 1-16, 2014
512014
Single cell transcriptomics reveals unanticipated features of early hematopoietic precursors
J Yang, Y Tanaka, M Seay, Z Li, J Jin, LX Garmire, X Zhu, A Taylor, W Li, ...
Nucleic acids research 45 (3), 1281-1296, 2017
492017
Pan-cancer analyses reveal long intergenic non-coding RNAs relevant to tumor diagnosis, subtyping and prognosis
T Ching, K Peplowska, S Huang, X Zhu, Y Shen, J Molnar, H Yu, ...
EBioMedicine 7, 62-72, 2016
352016
Deep learning predicts interval and screening-detected cancer from screening mammograms: a case-case-control study in 6369 women
X Zhu, TK Wolfgruber, L Leong, M Jensen, C Scott, S Winham, ...
Radiology 301 (3), 550-558, 2021
192021
Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer
R Wei, I De Vivo, S Huang, X Zhu, H Risch, JH Moore, H Yu, LX Garmire
Oncotarget 7 (34), 55249, 2016
192016
Maternal cardiovascular-related single nucleotide polymorphisms, genes, and pathways associated with early-onset preeclampsia
P Benny, K Yamasato, B Yunits, X Zhu, T Ching, LX Garmire, MJ Berry, ...
PLoS One 14 (9), e0222672, 2019
82019
GranatumX: a community-engaging, modularized, and flexible webtool for single-cell data analysis
DG Garmire, X Zhu, A Mantravadi, Q Huang, B Yunits, Y Liu, T Wolfgruber, ...
Genomics, Proteomics and Bioinformatics 19 (3), 452-460, 2021
7*2021
Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage. Nat Commun. 2018; 9 (1): 4892
O Poirion, X Zhu, T Ching, LX Garmire
62019
Using single nucleotide variations in single-cell RNA-seq to identify tumor subpopulations and genotype-phenotype linkage. bioRxiv
OB Poirion, X Zhu, T Ching, LX Garmire
bioRxiv, 095810, 2017
42017
Author correction: analysis of the human protein atlas image classification competition
W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Åkesson, H Xu, ...
Nature Methods 17 (9), 948, 2020
12020
Data Analysis in Single-Cell RNA-Seq
X Zhu, LX Garmire
Single-Cell Omics, 419-432, 2019
12019
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Articles 1–20