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BMC Genomics|April 11, 2019
Estimating the total genome length of a metagenomic sample using k-mersKui Hua, Xuegong ZhangBMC Genomics|September 24, 2013
Alignment-free supervised classification of metagenomes by recursive SVMHongfei Cui, Xuegong ZhangBMC Bioinformatics|July 11, 2013
NURD: an implementation of a new method to estimate isoform expression from non-uniform RNA-seq dataXinyun Ma, Xuegong ZhangScientific Reports|March 1, 2019
Integrative modeling reveals key chromatin and sequence signatures predicting super-enhancersAziz Khan, Xuegong ZhangBriefings in Functional Genomics|September 24, 2016
Computational operon prediction in whole-genomes and metagenomesSyed Shujaat Ali Zaidi, Xuegong ZhangJournal of Theoretical Biology|August 1, 2009
Predicting the fate of microRNA target genes based on sequence featuresYunfei Pei, Xi Wang, Xuegong ZhangBioinformation|February 29, 2008
Finding distinct biclusters from background in gene expression matricesZhengpeng Wu, Jiangni Ao, Xuegong ZhangNature Communications|August 4, 2015
mRIN for direct assessment of genome-wide and gene-specific mRNA integrity from large-scale RNA-sequencing dataHuijuan Feng, Xuegong Zhang, Chaolin ZhangBioinformatics (Oxford, England)|June 7, 2021
HGC: fast hierarchical clustering for large-scale single-cell dataZiheng Zou, Kui Hua, Xuegong ZhangEpigenetics|September 1, 2018
Super-enhancers are transcriptionally more active and cell type-specific than stretch enhancersAziz Khan, Anthony Mathelier, Xuegong ZhangPageof 18