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Meenakshi Upreti

Showing results (1-10 of 33) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|October 8, 2017
Tumor Tissue Analogs for the Assessment of Radioresistance in Cancer Stem CellsMeenakshi Upreti
Statistical Applications in Genetics and Molecular Biology|September 4, 2010
Granger causality analysis of human cell-cycle gene expression profilesRadhakrishnan Nagarajan, Meenakshi Upreti
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 20, 2006
Correlation statistics for cDNA microarray image analysisRadhakrishnan Nagarajan, Meenakshi Upreti
Methods in Enzymology|December 29, 2010
Inferring functional relationships and causal network structure from gene expression profilesRadhakrishnan Nagarajan, Meenakshi Upreti
Methods (San Diego, Calif.)|July 19, 2017
An ensemble predictive modeling framework for breast cancer classificationRadhakrishnan Nagarajan, Meenakshi Upreti
Bioinformatics (Oxford, England)|February 29, 2008
Comment on causality and pathway search in microarray time series experimentRadhakrishnan Nagarajan, Meenakshi Upreti
Journal of Biomedical Informatics|August 2, 2016
An approach for deciphering patient-specific variations with application to breast cancer molecular expression profilesRadhakrishnan Nagarajan, Meenakshi Upreti
Molecular Biology Reports|July 19, 2005
Expression and DNA binding activity of the recombinant interferon regulatory factor-1 (IRF-1) of mouseMeenakshi Upreti, Pramod C Rath
Translational Cancer Research|March 18, 2014
Tumor microenvironment and nanotherapeuticsMeenakshi Upreti, Amar Jyoti, Pallavi Sethi
Biochemical and Biophysical Research Communications|January 27, 2004
Replacement of 198MQMDII203 of mouse IRF-1 by 197IPVEVV202 of human IRF-1 abrogates induction of IFN-beta, iNOS, and COX-2 gene expression by IRF-1Meenakshi Upreti, Sanjiv Kumar, Pramod C Rath
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Methods in Molecular Biology (Clifton, N.J.)|October 8, 2017
Tumor Tissue Analogs for the Assessment of Radioresistance in Cancer Stem CellsMeenakshi Upreti
Statistical Applications in Genetics and Molecular Biology|September 4, 2010
Granger causality analysis of human cell-cycle gene expression profilesRadhakrishnan Nagarajan, Meenakshi Upreti
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 20, 2006
Correlation statistics for cDNA microarray image analysisRadhakrishnan Nagarajan, Meenakshi Upreti
Methods in Enzymology|December 29, 2010
Inferring functional relationships and causal network structure from gene expression profilesRadhakrishnan Nagarajan, Meenakshi Upreti
Methods (San Diego, Calif.)|July 19, 2017
An ensemble predictive modeling framework for breast cancer classificationRadhakrishnan Nagarajan, Meenakshi Upreti
Bioinformatics (Oxford, England)|February 29, 2008
Comment on causality and pathway search in microarray time series experimentRadhakrishnan Nagarajan, Meenakshi Upreti
Journal of Biomedical Informatics|August 2, 2016
An approach for deciphering patient-specific variations with application to breast cancer molecular expression profilesRadhakrishnan Nagarajan, Meenakshi Upreti
Molecular Biology Reports|July 19, 2005
Expression and DNA binding activity of the recombinant interferon regulatory factor-1 (IRF-1) of mouseMeenakshi Upreti, Pramod C Rath
Translational Cancer Research|March 18, 2014
Tumor microenvironment and nanotherapeuticsMeenakshi Upreti, Amar Jyoti, Pallavi Sethi
Biochemical and Biophysical Research Communications|January 27, 2004
Replacement of 198MQMDII203 of mouse IRF-1 by 197IPVEVV202 of human IRF-1 abrogates induction of IFN-beta, iNOS, and COX-2 gene expression by IRF-1Meenakshi Upreti, Sanjiv Kumar, Pramod C Rath
Pageof 4