Youping Deng

Summary

Affiliation: Rush University Medical Center
Country: USA

Publications

  1. ncbi In vitro gene regulatory networks predict in vivo function of liver
    Youping Deng
    Rush University Medical Center, Chicago, IL 60612, USA
    BMC Syst Biol 4:153. 2010
  2. ncbi Recursive SVM biomarker selection for early detection of breast cancer in peripheral blood
    Fan Zhang
    Department of Academic and Institutional Resources and Technology, University of North Texas Health Science Center, Fort Worth, TX, USA
    BMC Med Genomics 6:S4. 2013
  3. ncbi A robust detail preserving anisotropic diffusion for speckle reduction in ultrasound images
    Xiaoming Liu
    College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China
    BMC Genomics 12:S14. 2011
  4. ncbi A hidden Markov model-based algorithm for identifying tumour subtype using array CGH data
    Ke Zhang
    Department of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58201, USA
    BMC Genomics 12:S10. 2011
  5. ncbi Gene selection and classification for cancer microarray data based on machine learning and similarity measures
    Qingzhong Liu
    Department of Computer Science, Sam Houston State University, Huntsville, TX 77341, USA
    BMC Genomics 12:S1. 2011
  6. ncbi Maximum predictive power of the microarray-based models for clinical outcomes is limited by correlation between endpoint and gene expression profile
    Chen Zhao
    The Center for Bioinformatics and The institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
    BMC Genomics 12:S3. 2011
  7. ncbi A gene selection method for GeneChip array data with small sample sizes
    Zhongxue Chen
    Biostatistics Epidemiology Research Design Core, Center for Clinical and Translational Sciences, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
    BMC Genomics 12:S7. 2011
  8. ncbi Maximizing biomarker discovery by minimizing gene signatures
    Chang Chang
    The Center for Bioinformatics and Institute of Biomedical Sciences, School of Life Science, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
    BMC Genomics 12:S6. 2011
  9. ncbi Genomic signatures and gene networking: challenges and promises
    Ke Zhang
    Department of Pathology, Bioinformatics Core, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58201, USA
    BMC Genomics 12:I1. 2011
  10. ncbi Transcriptomic profiles of peripheral white blood cells in type II diabetes and racial differences in expression profiles
    Jinghe Mao
    Department of Biology, Tougaloo College, Tougaloo, MS 39174, USA
    BMC Genomics 12:S12. 2011

Collaborators

  • Edward J Perkins
  • David R Johnson
  • Natalia Garcia-Reyero
  • Ke Zhang
  • Chen Zhao
  • Zhongxue Chen
  • Qingzhong Liu
  • Fan Zhang
  • Lajos Pusztai
  • Jinghe Mao
  • Xudong Huang
  • Chang Chang
  • Xiaoming Liu
  • Weida Tong
  • W Fraser Symmans
  • Tieliu Shi
  • Junmei Ai
  • Sudhir Chowbina
  • Jianxin Wang
  • Renee Drabier
  • Howard L Kaufman
  • Megan Kong
  • Hamid R Arabnia
  • Jinshan Tang
  • Linglin Xie
  • Andrew H Sung
  • Andre Oberthuer
  • Monnie McGee
  • Yi Yang
  • Richard H Scheuermann
  • Jun Liu
  • Pierre R Bushel
  • Jasmine T Washington
  • Arne C Bathke
  • Junwei Wang
  • Xin Xu
  • Jennifer Fostel
  • Manuel Ong
  • Jack Y Yang
  • Marketta Blue
  • Mengyu Qiao
  • Haiyan Wang
  • Zhaohui Wang
  • Zuojie Luo
  • Viswanath Devanarayan
  • Liangjiang Wang
  • Xiaonan Wang
  • Solomon W Harrar
  • Lei Chun
  • Leming Shi
  • Hans Peter Piepho
  • Jianzhong Liu
  • Mehdi Pirooznia
  • Sens Donald
  • John D Shaughnessy
  • Ming Shenwu
  • Xinchun Zhou
  • Lei Chen
  • Sharon A Meyer
  • Jake Y Chen
  • Min Li
  • Mitchell S Wilbanks
  • Yi Pan
  • Xiaogang Wu
  • Xin Guan
  • Barbara Lynn Escalon

Detail Information

Publications14

  1. ncbi In vitro gene regulatory networks predict in vivo function of liver
    Youping Deng
    Rush University Medical Center, Chicago, IL 60612, USA
    BMC Syst Biol 4:153. 2010
    ..However, the degree to which we can extend in vitro results to in vivo activity and possible mechanisms of action remains to be fully addressed...
  2. ncbi Recursive SVM biomarker selection for early detection of breast cancer in peripheral blood
    Fan Zhang
    Department of Academic and Institutional Resources and Technology, University of North Texas Health Science Center, Fort Worth, TX, USA
    BMC Med Genomics 6:S4. 2013
    ....
  3. ncbi A robust detail preserving anisotropic diffusion for speckle reduction in ultrasound images
    Xiaoming Liu
    College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China
    BMC Genomics 12:S14. 2011
    ..Thus a detail preserved anisotropic diffusion speckle reduction with less sensitive to the number of iterations is needed. This paper aims to develop this kind of technologies...
  4. ncbi A hidden Markov model-based algorithm for identifying tumour subtype using array CGH data
    Ke Zhang
    Department of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58201, USA
    BMC Genomics 12:S10. 2011
    ..A mixture hidden Markov model based algorithm was developed to address these two challenges...
  5. ncbi Gene selection and classification for cancer microarray data based on machine learning and similarity measures
    Qingzhong Liu
    Department of Computer Science, Sam Houston State University, Huntsville, TX 77341, USA
    BMC Genomics 12:S1. 2011
    ..Associations among genetic markers mean one can exploit information redundancy to potentially reduce classification cost in terms of time and money...
  6. ncbi Maximum predictive power of the microarray-based models for clinical outcomes is limited by correlation between endpoint and gene expression profile
    Chen Zhao
    The Center for Bioinformatics and The institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
    BMC Genomics 12:S3. 2011
    ..Fine-tuning of model parameters and optimizing each step of the modeling process often results in over-fitting problems without improving performance...
  7. ncbi A gene selection method for GeneChip array data with small sample sizes
    Zhongxue Chen
    Biostatistics Epidemiology Research Design Core, Center for Clinical and Translational Sciences, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
    BMC Genomics 12:S7. 2011
    ..Furthermore, estimated permutation-based p-values for true nulls are highly correlated and not uniformly distributed between zero and one, making it difficult to use current false discovery rate (FDR)-controlling methods...
  8. ncbi Maximizing biomarker discovery by minimizing gene signatures
    Chang Chang
    The Center for Bioinformatics and Institute of Biomedical Sciences, School of Life Science, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
    BMC Genomics 12:S6. 2011
    ....
  9. ncbi Genomic signatures and gene networking: challenges and promises
    Ke Zhang
    Department of Pathology, Bioinformatics Core, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58201, USA
    BMC Genomics 12:I1. 2011
    ..We hope this supplement presents the current computational and statistical challenges faced in genomics studies, and shows the enormous promises and opportunities in the genomic future...
  10. ncbi Transcriptomic profiles of peripheral white blood cells in type II diabetes and racial differences in expression profiles
    Jinghe Mao
    Department of Biology, Tougaloo College, Tougaloo, MS 39174, USA
    BMC Genomics 12:S12. 2011
    ....
  11. ncbi A new approach to construct pathway connected networks and its application in dose responsive gene expression profiles of rat liver regulated by 2,4DNT
    Sudhir Chowbina
    Indiana University School of Informatics, Indianapolis, IN 46202, USA
    BMC Genomics 11:S4. 2010
    ..Although a series of methods for gene network construction have been developed, few instances of applying such technology to generate pathway connected networks have been reported...
  12. ncbi Recent advances in clustering methods for protein interaction networks
    Jianxin Wang
    School of Information Science and Engineering, Central South University, Changsha 410083, China
    BMC Genomics 11:S10. 2010
    ..The predictions of protein functions and interactions based on modules will be covered. Finally, the performance of different clustering methods will be compared and the directions for future research will be discussed...
  13. ncbi Gene set analysis for longitudinal gene expression data
    Ke Zhang
    School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA
    BMC Bioinformatics 12:273. 2011
    ..In these longitudinal studies, gene expression is repeatedly measured over time such that a GSA needs to take into account the within-gene correlations in addition to possible between-gene correlations...
  14. ncbi Analysis of common and specific mechanisms of liver function affected by nitrotoluene compounds
    Youping Deng
    Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, United States of America
    PLoS ONE 6:e14662. 2011
    ....