Han Liang

Summary

Affiliation: The University of Texas
Country: USA

Publications

  1. pmc SurvNet: a web server for identifying network-based biomarkers that most correlate with patient survival data
    Jun Li
    Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences and Max Planck Society CAS MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P R China
    Nucleic Acids Res 40:W123-6. 2012
  2. pmc Identifying molecular drivers of gastric cancer through next-generation sequencing
    Han Liang
    Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA Electronic address
    Cancer Lett 340:241-6. 2013
  3. pmc Whole-exome sequencing combined with functional genomics reveals novel candidate driver cancer genes in endometrial cancer
    Han Liang
    Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
    Genome Res 22:2120-9. 2012
  4. pmc The spatial distribution of cis regulatory elements in yeast promoters and its implications for transcriptional regulation
    Zhenguo Lin
    Department of Ecology and Evolution, University of Chicago, 1101 East 57th Street, Chicago, IL 60637, USA
    BMC Genomics 11:581. 2010
  5. ncbi request reprint The Pan-Cancer analysis of pseudogene expression reveals biologically and clinically relevant tumour subtypes
    Leng Han
    1 Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, Texas 77030, USA 2
    Nat Commun 5:3963. 2014
  6. pmc miR-100 induces epithelial-mesenchymal transition but suppresses tumorigenesis, migration and invasion
    Dahu Chen
    Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
    PLoS Genet 10:e1004177. 2014
  7. pmc AMPKα modulation in cancer progression: multilayer integrative analysis of the whole transcriptome in Asian gastric cancer
    Yon Hui Kim
    Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
    Cancer Res 72:2512-21. 2012
  8. ncbi request reprint Assessing the clinical utility of cancer genomic and proteomic data across tumor types
    Yuan Yuan
    1 Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas, USA 2 Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA 3
    Nat Biotechnol 32:644-52. 2014
  9. pmc Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types
    Yang Yang
    1 Division of Biostatistics, The University of Texas Health Science Center at Houston, School of Public Health, Houston, Texas 77030, USA 2 Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
    Nat Commun 5:3231. 2014
  10. pmc BM-Map: an efficient software package for accurately allocating multireads of RNA-sequencing data
    Yuan Yuan
    Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX 77030, USA
    BMC Genomics 13:S9. 2012

Collaborators

Detail Information

Publications12

  1. pmc SurvNet: a web server for identifying network-based biomarkers that most correlate with patient survival data
    Jun Li
    Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences and Max Planck Society CAS MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P R China
    Nucleic Acids Res 40:W123-6. 2012
    ..As the output, SurvNet will generate a list of network biomarkers and display them through a user-friendly interface. SurvNet can be accessed at http://bioinformatics.mdanderson.org/main/SurvNet...
  2. pmc Identifying molecular drivers of gastric cancer through next-generation sequencing
    Han Liang
    Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA Electronic address
    Cancer Lett 340:241-6. 2013
    ..We also discuss the challenges and future directions of such efforts. ..
  3. pmc Whole-exome sequencing combined with functional genomics reveals novel candidate driver cancer genes in endometrial cancer
    Han Liang
    Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
    Genome Res 22:2120-9. 2012
    ..Our study presents the first unbiased view of somatic coding mutations in endometrial cancer and provides functional evidence for diverse driver genes and mutations in this disease...
  4. pmc The spatial distribution of cis regulatory elements in yeast promoters and its implications for transcriptional regulation
    Zhenguo Lin
    Department of Ecology and Evolution, University of Chicago, 1101 East 57th Street, Chicago, IL 60637, USA
    BMC Genomics 11:581. 2010
    ..In this study, we reexamined the spatial distribution of TFBSs, investigated various promoter features that may affect the distribution, and studied the effect of TFBS distribution on transcriptional regulation...
  5. ncbi request reprint The Pan-Cancer analysis of pseudogene expression reveals biologically and clinically relevant tumour subtypes
    Leng Han
    1 Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, Texas 77030, USA 2
    Nat Commun 5:3963. 2014
    ..Our study highlights the potential of pseudogene expression analysis as a new paradigm for investigating cancer mechanisms and discovering prognostic biomarkers. ..
  6. pmc miR-100 induces epithelial-mesenchymal transition but suppresses tumorigenesis, migration and invasion
    Dahu Chen
    Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
    PLoS Genet 10:e1004177. 2014
    ..These findings provide a proof-of-principle that EMT and tumorigenicity are not always associated and that certain EMT inducers can inhibit tumorigenesis, migration and invasion. ..
  7. pmc AMPKα modulation in cancer progression: multilayer integrative analysis of the whole transcriptome in Asian gastric cancer
    Yon Hui Kim
    Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
    Cancer Res 72:2512-21. 2012
    ....
  8. ncbi request reprint Assessing the clinical utility of cancer genomic and proteomic data across tumor types
    Yuan Yuan
    1 Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas, USA 2 Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA 3
    Nat Biotechnol 32:644-52. 2014
    ..Our study provides a starting point and resources, including an open-access model evaluation platform, for building reliable prognostic and therapeutic strategies that incorporate molecular data. ..
  9. pmc Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types
    Yang Yang
    1 Division of Biostatistics, The University of Texas Health Science Center at Houston, School of Public Health, Houston, Texas 77030, USA 2 Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
    Nat Commun 5:3231. 2014
    ..We identified the modules enriched in various prognostic genes, some of which show cross-tumour conservation. Given the cancer types surveyed, our study presents a view of emergent properties of prognostic genes. ..
  10. pmc BM-Map: an efficient software package for accurately allocating multireads of RNA-sequencing data
    Yuan Yuan
    Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX 77030, USA
    BMC Genomics 13:S9. 2012
    ..Allocating these multireads is challenging but critical for interpreting RNA-seq data. We recently developed a Bayesian stochastic model that allocates multireads more accurately than alternative methods (Ji et al. Biometrics 2011)...
  11. pmc LIFR is a breast cancer metastasis suppressor upstream of the Hippo-YAP pathway and a prognostic marker
    Dahu Chen
    Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
    Nat Med 18:1511-7. 2012
    ..These findings identify LIFR as a metastasis suppressor that functions through the Hippo-YAP pathway and has significant prognostic power...
  12. ncbi request reprint A pan-cancer proteomic perspective on The Cancer Genome Atlas
    Rehan Akbani
    1 Department of Bioinformatics and Computational Biology, 1400 Pressler St, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA 2
    Nat Commun 5:3887. 2014
    ..This integrative analysis, with an emphasis on pathways and potentially actionable proteins, provides a framework for determining the prognostic, predictive and therapeutic relevance of the functional proteome. ..