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Junbai Wang

Showing results (1-10 of 66) with videos related to

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BMC Bioinformatics|August 28, 2014
Quality versus accuracy: result of a reanalysis of protein-binding microarrays from the DREAM5 challenge by using BayesPI2 including dinucleotide interdependenceJunbai Wang
BMC Genomics|April 5, 2011
Computational study of associations between histone modification and protein-DNA binding in yeast genome by integrating diverse informationJunbai Wang
Journal of Environmental Pathology, Toxicology and Oncology : Official Organ of the International Society for Environmental Toxicology and Cancer|July 26, 2008
Computational biology of genome expression and regulation--a review of microarray bioinformaticsJunbai Wang
Journal of Biomedical Informatics|April 10, 2007
A new framework for identifying combinatorial regulation of transcription factors: a case study of the yeast cell cycleJunbai Wang
BMC Bioinformatics|August 6, 2010
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based high-throughput dataJunbai Wang
BMC Bioinformatics|October 28, 2009
BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factorsJunbai Wang, Morigen
BMC Bioinformatics|January 21, 2010
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53Junbai Wang, Tianhai Tian
Nucleic Acids Research|July 24, 2015
BayesPI-BAR: a new biophysical model for characterization of regulatory sequence variationsJunbai Wang, Kirill Batmanov
Methods in Molecular Biology (Clifton, N.J.)|December 2, 2011
Effective non-linear methods for inferring genetic regulation from time-series microarray gene expression dataJunbai Wang, Tianhai Tian
Genes|September 21, 2017
Predicting Variation of DNA Shape Preferences in Protein-DNA Interaction in Cancer Cells with a New Biophysical ModelKirill Batmanov, Junbai Wang
Pageof 7

Showing results (1-10 of 66) with videos related to

Sort By:
Pageof 7
BMC Bioinformatics|August 28, 2014
Quality versus accuracy: result of a reanalysis of protein-binding microarrays from the DREAM5 challenge by using BayesPI2 including dinucleotide interdependenceJunbai Wang
BMC Genomics|April 5, 2011
Computational study of associations between histone modification and protein-DNA binding in yeast genome by integrating diverse informationJunbai Wang
Journal of Environmental Pathology, Toxicology and Oncology : Official Organ of the International Society for Environmental Toxicology and Cancer|July 26, 2008
Computational biology of genome expression and regulation--a review of microarray bioinformaticsJunbai Wang
Journal of Biomedical Informatics|April 10, 2007
A new framework for identifying combinatorial regulation of transcription factors: a case study of the yeast cell cycleJunbai Wang
BMC Bioinformatics|August 6, 2010
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based high-throughput dataJunbai Wang
BMC Bioinformatics|October 28, 2009
BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factorsJunbai Wang, Morigen
BMC Bioinformatics|January 21, 2010
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53Junbai Wang, Tianhai Tian
Nucleic Acids Research|July 24, 2015
BayesPI-BAR: a new biophysical model for characterization of regulatory sequence variationsJunbai Wang, Kirill Batmanov
Methods in Molecular Biology (Clifton, N.J.)|December 2, 2011
Effective non-linear methods for inferring genetic regulation from time-series microarray gene expression dataJunbai Wang, Tianhai Tian
Genes|September 21, 2017
Predicting Variation of DNA Shape Preferences in Protein-DNA Interaction in Cancer Cells with a New Biophysical ModelKirill Batmanov, Junbai Wang
Pageof 7