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T Murlidharan Nair

Showing results (1-10 of 14) with videos related to

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Computational Biology and Chemistry|June 3, 2018
Statistical and artificial neural network-based analysis to understand complexity and heterogeneity in preeclampsiaT Murlidharan Nair
Computational Biology and Chemistry|November 6, 2009
On selecting mRNA isoform features for profiling prostate cancerT Murlidharan Nair
Methods in Molecular Biology (Clifton, N.J.)|December 2, 2011
Analysis of isoform expression from splicing array using multiple comparisonsT Murlidharan Nair
Methods in Molecular Biology (Clifton, N.J.)|August 18, 2020
Building and Interpreting Artificial Neural Network Models for Biological SystemsT Murlidharan Nair
BMC Structural Biology|May 22, 2010
Sequence periodicity in nucleosomal DNA and intrinsic curvatureT Murlidharan Nair
Biorxiv : the Preprint Server for Biology|January 9, 2026
Exploring the Role of APC in Modulating Chemotherapeutic Response in Triple-Negative Breast Cancer cellsT Murlidharan Nair, Monica K VanKlompenberg, Jenifer R Prosperi
Genome Informatics. International Conference on Genome Informatics|February 12, 2005
On selecting features from splice junctions: an analysis using information theoretic and machine learning approachesChristina L Zheng, Virginia R de Sa, Michael Gribskov, et al.
Computational Biology and Chemistry|December 12, 2003
Rival penalized competitive learning (RPCL): a topology-determining algorithm for analyzing gene expression dataT Murlidharan Nair, Christina L Zheng, J Lynn Fink, et al.
Nature Communications|July 22, 2021
Neonatal thyroxine activation modifies epigenetic programming of the liverTatiana L Fonseca, Tzintzuni Garcia, Gustavo W Fernandes, et al.
Genome Biology|September 20, 2005
Characterization of the yeast ionome: a genome-wide analysis of nutrient mineral and trace element homeostasis in Saccharomyces cerevisiaeDavid J Eide, Suzanne Clark, T Murlidharan Nair, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Computational Biology and Chemistry|June 3, 2018
Statistical and artificial neural network-based analysis to understand complexity and heterogeneity in preeclampsiaT Murlidharan Nair
Computational Biology and Chemistry|November 6, 2009
On selecting mRNA isoform features for profiling prostate cancerT Murlidharan Nair
Methods in Molecular Biology (Clifton, N.J.)|December 2, 2011
Analysis of isoform expression from splicing array using multiple comparisonsT Murlidharan Nair
Methods in Molecular Biology (Clifton, N.J.)|August 18, 2020
Building and Interpreting Artificial Neural Network Models for Biological SystemsT Murlidharan Nair
BMC Structural Biology|May 22, 2010
Sequence periodicity in nucleosomal DNA and intrinsic curvatureT Murlidharan Nair
Biorxiv : the Preprint Server for Biology|January 9, 2026
Exploring the Role of APC in Modulating Chemotherapeutic Response in Triple-Negative Breast Cancer cellsT Murlidharan Nair, Monica K VanKlompenberg, Jenifer R Prosperi
Genome Informatics. International Conference on Genome Informatics|February 12, 2005
On selecting features from splice junctions: an analysis using information theoretic and machine learning approachesChristina L Zheng, Virginia R de Sa, Michael Gribskov, et al.
Computational Biology and Chemistry|December 12, 2003
Rival penalized competitive learning (RPCL): a topology-determining algorithm for analyzing gene expression dataT Murlidharan Nair, Christina L Zheng, J Lynn Fink, et al.
Nature Communications|July 22, 2021
Neonatal thyroxine activation modifies epigenetic programming of the liverTatiana L Fonseca, Tzintzuni Garcia, Gustavo W Fernandes, et al.
Genome Biology|September 20, 2005
Characterization of the yeast ionome: a genome-wide analysis of nutrient mineral and trace element homeostasis in Saccharomyces cerevisiaeDavid J Eide, Suzanne Clark, T Murlidharan Nair, et al.
Pageof 2