引用次数
引用: 2,827
H-指数: 28
I10-指数 : 49
出版物: 79
THAP5 is a DNA-binding transcriptional repressor that is regulated in melanoma cells during DNA damage-induced cell death.
Meenakshi P. Balakrishnan , Lucia Cilenti , Camilla Ambivero , Yamafumi Goto
Biochemical and Biophysical Research Communications 404 ( 1) 195 -200
11
2011
Networking pathways unveils association between obesity and non-insulin dependent diabetes mellitus.
Haiyan Hu , Xiaoman Shawn Li
Pacific Symposium on Biocomputing 13 255 -266
8
2008
Tree Gibbs Sampler: identifying conserved motifs without aligning orthologous sequences
Xiaohui Cai , Haiyan Hu , Xiaoman Shawn Li
Bioinformatics 23 ( 15) 2013 -2014
5
2007
A Novel Approach for Bacterial Strain Analysis in Multiple Samples
Saidi Wang , Minerva Fatimae Ventolero , Haiyan Hu , Xiaoman Li SMS
Journal of Bioinformatics and Systems Biology 6 289 -297
2023
Estimating the Repeat Structure and Length of DNA Sequences Using ℓ-Tuples
Michael S. Waterman , Xiaoman Li
Genome Research 13 ( 8) 1916 -1922
111
2003
Deep Learning to Identify Transcription Start Sites from CAGE Data
Haiyan Hu , Xiaoman Li , Hansi Zheng
bioinformatics and biomedicine 168 -172
2020
An intriguing characteristic of enhancer-promoter interactions.
Haiyan Hu , Xiaoman Li , Amlan Talukder
BMC Genomics 22 ( 1) 163 -163
2021
A two-stream convolutional neural network for microRNA transcription start site feature integration and identification.
Haiyan Hu , Clayton Barham , Xiaoman Li , Amlan Talukder
Scientific Reports 11 ( 1) 5625 -5625
2021
JunD/AP-1-Mediated Gene Expression Promotes Lymphocyte Growth Dependent on Interleukin-7 Signal Transduction
Shannon M. Ruppert , Mounir Chehtane , Ge Zhang , Haiyan Hu
PLoS ONE 7 ( 2) e32262
10
2012
Computational annotation of miRNA transcription start sites
Saidi Wang , Amlan Talukder , Mingyu Cha , Xiaoman Li
Briefings in Bioinformatics 22 ( 1) 380 -392
4
2021
Application of Deep Learning Models to MicroRNA Transcription Start Site Identification
Clayton Barham , Mingyu Cha , Xiaoman Li , Haiyan Hu
international conference on bioinformatics
2
2019
Whole genome identification of target genes of transcription factors
Haiyan Hu , Xiaoman Li
international conference on bioinformatics 27 -30
2010
Discover the semantic structure of human reference epigenome by differential latent dirichlet allocation
Yiyu Zheng , Xiaoman Li , Haiyan Hu
bioinformatics and biomedicine 270 -275
1
2017
MOPAT: a graph-based method to predict recurrent cis-regulatory modules from known motifs
Jianfei Hu , Haiyan Hu , Xiaoman Li
Nucleic Acids Research 36 ( 13) 4488 -4497
36
2008
PETModule: a motif module based approach for enhancer target gene prediction.
Changyong Zhao , Xiaoman Li , Haiyan Hu
Scientific Reports 6 ( 1) 30043 -30043
27
2016
Motif analysis unveils the possible co-regulation of chloroplast genes and nuclear genes encoding chloroplast proteins
Ying Wang , Jun Ding , Henry Daniell , Haiyan Hu
Plant Molecular Biology 80 ( 2) 177 -187
1
2012
Differential open chromatin profile and transcriptomic signature define depot-specific human subcutaneous preadipocytes: primary outcomes.
Adeline Divoux , Katalin Sandor , Dora Bojcsuk , Amlan Talukder
Clinical Epigenetics 10 ( 1) 148
20
2018
PreDREM: a database of predicted DNA regulatory motifs from 349 human cell and tissue samples
Yiyu Zheng , Xiaoman Li , Haiyan Hu
Database 2015 ( 2015)
3
2015
SETDB2 Links Glucocorticoid to Lipid Metabolism through Insig2a Regulation.
Manuel Roqueta-Rivera , Ryan M. Esquejo , Peter E. Phelan , Katalin Sandor
Cell Metabolism 24 ( 3) 474 -484
25
2016
Systematic discovery of cofactor motifs from ChIP-seq data by SIOMICS.
Jun Ding , Vikram Dhillon , Xiaoman Li , Haiyan Hu
Methods 79 47 -51
17
2015