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Biomedicines
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April 23, 2022
Alternative Splicing of Neuropeptide Prohormone and Receptor Genes Associated with Pain Sensitivity Was Detected with Zero-Inflated Models
Bruce R Southey, Sandra L Rodriguez-Zas
Plos One
|
April 5, 2013
Transcription factor-microRNA-target gene networks associated with ovarian cancer survival and recurrence
Kristin R Delfino, Sandra L Rodriguez-Zas
Veterinary Sciences
|
May 27, 2022
Changes in Neuropeptide Prohormone Genes among <i>Cetartiodactyla</i> Livestock and Wild Species Associated with Evolution and Domestication
Bruce R Southey, Sandra L Rodriguez-Zas
Genes & Genomics
|
February 12, 2019
Markov chain Monte Carlo simulation of a Bayesian mixture model for gene network inference
Younhee Ko, Jaebum Kim, Sandra L Rodriguez-Zas
International Journal of Bioinformatics Research and Applications
|
October 14, 2010
Discovery of gene network variability across samples representing multiple classes
Younhee Ko, ChengXiang Zhai, Sandra L Rodriguez-Zas
Proceedings of the ... Annual International Conference on Bioinformatics and Computational Biology
|
January 20, 2022
Co-expression networks uncover regulation of splicing and transcription markers of disease
Pan Zhang, Bruce R Southey, Sandra L Rodriguez-Zas
Plos One
|
February 25, 2015
Synergistic and antagonistic interplay between myostatin gene expression and physical activity levels on gene expression patterns in triceps Brachii muscles of C57/BL6 mice
Kelsey Caetano-Anollés, Sanjibita Mishra, Sandra L Rodriguez-Zas
Peptides
|
February 24, 2006
Prediction of neuropeptide prohormone cleavages with application to RFamides
Bruce R Southey, Sandra L Rodriguez-Zas, Jonathan V Sweedler
BMC Genomics
|
May 19, 2009
Characterization of the prohormone complement in cattle using genomic libraries and cleavage prediction approaches
Bruce R Southey, Sandra L Rodriguez-Zas, Jonathan V Sweedler
Frontiers in Neuroinformatics
|
January 27, 2009
A python analytical pipeline to identify prohormone precursors and predict prohormone cleavage sites
Bruce R Southey, Jonathan V Sweedler, Sandra L Rodriguez-Zas
Page
of 13
Search research articles
Search
Showing results (1-10 of 128) with videos related to
Sort By:
Page
of 13
Biomedicines
|
April 23, 2022
Alternative Splicing of Neuropeptide Prohormone and Receptor Genes Associated with Pain Sensitivity Was Detected with Zero-Inflated Models
Bruce R Southey, Sandra L Rodriguez-Zas
Plos One
|
April 5, 2013
Transcription factor-microRNA-target gene networks associated with ovarian cancer survival and recurrence
Kristin R Delfino, Sandra L Rodriguez-Zas
Veterinary Sciences
|
May 27, 2022
Changes in Neuropeptide Prohormone Genes among <i>Cetartiodactyla</i> Livestock and Wild Species Associated with Evolution and Domestication
Bruce R Southey, Sandra L Rodriguez-Zas
Genes & Genomics
|
February 12, 2019
Markov chain Monte Carlo simulation of a Bayesian mixture model for gene network inference
Younhee Ko, Jaebum Kim, Sandra L Rodriguez-Zas
International Journal of Bioinformatics Research and Applications
|
October 14, 2010
Discovery of gene network variability across samples representing multiple classes
Younhee Ko, ChengXiang Zhai, Sandra L Rodriguez-Zas
Proceedings of the ... Annual International Conference on Bioinformatics and Computational Biology
|
January 20, 2022
Co-expression networks uncover regulation of splicing and transcription markers of disease
Pan Zhang, Bruce R Southey, Sandra L Rodriguez-Zas
Plos One
|
February 25, 2015
Synergistic and antagonistic interplay between myostatin gene expression and physical activity levels on gene expression patterns in triceps Brachii muscles of C57/BL6 mice
Kelsey Caetano-Anollés, Sanjibita Mishra, Sandra L Rodriguez-Zas
Peptides
|
February 24, 2006
Prediction of neuropeptide prohormone cleavages with application to RFamides
Bruce R Southey, Sandra L Rodriguez-Zas, Jonathan V Sweedler
BMC Genomics
|
May 19, 2009
Characterization of the prohormone complement in cattle using genomic libraries and cleavage prediction approaches
Bruce R Southey, Sandra L Rodriguez-Zas, Jonathan V Sweedler
Frontiers in Neuroinformatics
|
January 27, 2009
A python analytical pipeline to identify prohormone precursors and predict prohormone cleavage sites
Bruce R Southey, Jonathan V Sweedler, Sandra L Rodriguez-Zas
Page
of 13