Shoudan Liang

发表

Genome-Wide Analysis of Epigenetic Modifications

Shoudan Liang, S. Liang, S. Liang, 2010, Journal of Computer Science and Technology.

A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications

Yuan Ji, Riten Mitra, Lu Yue, 2013 .

On Differential Gene Expression Using RNA-Seq Data

Peter Müller, Yuan Ji, Juhee Lee, 2011, Cancer informatics.

Making sense of large-scale gene expression data with simple computational techniques

Shoudan Liang, Roland Somogyi, Stefanie Fuhrman, 2000 .

Bayesian Hierarchical Model for Differential Gene Expression Using RNA-Seq Data

Peter Müller, Yuan Ji, Juhee Lee, 2015, Statistics in biosciences.

cWINNOWER algorithm for finding fuzzy DNA motifs

Shoudan Liang, S. Liang, S. Liang, 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.

A Bayesian model for SNP discovery based on next-generation sequencing data

Yuan Ji, Xiaofeng Zheng, Yanxun Xu, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Local sequence and sequencing depth dependent accuracy of RNA-seq reads

Xiaofeng Zheng, Feifei Xiao, Guoshuai Cai, 2017, BMC Bioinformatics.

dsPIG: a tool to predict imprinted genes from the deep sequencing of whole transcriptomes

Hua Li, Xiao Su, Yue Lu, 2012, BMC Bioinformatics.

BM‐Map: Bayesian Mapping of Multireads for Next‐Generation Sequencing Data

Qiong Zhang, Han Liang, Yuan Ji, 2011, Biometrics.

Accuracy of RNA-Seq and its dependence on sequencing depth

Hua Li, Yue Lu, Yuan Ji, 2012, BMC Bioinformatics.

BM-SNP: A Bayesian Model for SNP Calling Using High Throughput Sequencing Data

Yuan Ji, Peng Qiu, Xiaofeng Zheng, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

PAND: A Distribution to Identify Functional Linkage from Networks with Preferential Attachment Property

Hua Li, Emily Dimmer, Pan Tong, 2015, PloS one.

Nonparametric Bayesian Bi-Clustering for Next Generation Sequencing Count Data.

Riten Mitra, Peter Müller, Yuan Ji, 2013, Bayesian analysis.

Genetic network inference: from co-expression clustering to reverse engineering

Patrik D'haeseleer, Shoudan Liang, Roland Somogyi, 2000, Bioinform..

BM-BC: a Bayesian method of base calling for Solexa sequence data

Yue Lu, Yuan Ji, Ping Liu, 2012, BMC Bioinformatics.

fREDUCE: Detection of degenerate regulatory elements using correlation with expression

Hao Li, Shoudan Liang, Christina Chaivorapol, 2007, BMC Bioinformatics.

Detection of Bladder Cancer Using Novel DNA Methylation Biomarkers in Urine Sediments

Yair Lotan, Shoudan Liang, Y. Lotan, 2011, Cancer Epidemiology, Biomarkers & Prevention.

Local Network Topology in Human Protein Interaction Data Predicts Functional Association

Shoudan Liang, S. Liang, Hua Li, 2009, PloS one.

Redundancies in Large-scale Protein Interaction Networks

Shoudan Liang, Manoj Pratim Samanta, 2003 .

Stabilization of the promoter nucleosomes in nucleosome-free regions by the yeast Cyc8–Tup1 corepressor

Yue Lu, Wei Li, Shoudan Liang, 2013, Genome research.

Abstract B22: Genome-wide methylation analysis reveals an independently validated CpG island methylator phenotype associated with favorable prognosis in acute myeloid leukemia.

Yue Lu, Andrew D. Kelly, Steven M. Kornblau, 2015 .

Widespread and Tissue Specific Age-related Dna Methylation Material Supplemental Related Content a Hallmark of Cancer Age-dependent Dna Methylation of Genes That Are Suppressed in Stem Cells Is

Nianxiang Zhang, Shoudan Liang, L. Donehower, 2022 .

Identification of SOX9 Interaction Sites in the Genome of Chondrocytes

Shoudan Liang, Jiexin Zhang, S. Liang, 2010, PloS one.

Toward Breaking the Histone Code: Bayesian Graphical Models for Histone Modifications

Yuan Ji, Riten Mitra, Peter Müller, 2013, Circulation. Cardiovascular genetics.