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Bud Mishra

Showing results (31-40 of 62) with videos related to

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Biorxiv : the Preprint Server for Biology|February 8, 2024
C1QA is an invariant biomarker for tissue macrophagesAmir Horowitz, Haocheng Yu, Sonalisa Pandey, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 22, 2005
A coherent framework for multiresolution analysis of biological networks with "memory": Ras pathway, cell cycle, and immune systemPaolo Emilio Barbano, Marina Spivak, Jiawu Feng, et al.
Systems and Synthetic Biology|April 1, 2009
Mathematical modeling of the formation of apoptosome in intrinsic pathway of apoptosisSeongho Ryu, Shih-Chieh Lin, Nadia Ugel, et al.
Developmental Biology|February 17, 2006
Quantitative analysis of germline mitosis in adult C. elegansJohn Maciejowski, Nadia Ugel, Bud Mishra, et al.
Journal of Bioinformatics and Computational Biology|April 3, 2009
Simultaneously segmenting multiple gene expression time courses by analyzing cluster dynamicsSatish Tadepalli, Naren Ramakrishnan, Layne T Watson, et al.
Journal of Molecular Evolution|March 26, 2008
Dropout alignment allows homology recognition and evolutionary analysis of rDNA intergenic spacersSeongho Ryu, Yoonkyung Do, David H A Fitch, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 10, 2004
A versatile statistical analysis algorithm to detect genome copy number variationRaoul-Sam Daruwala, Archisman Rudra, Harry Ostrer, et al.
Analytical Chemistry|June 12, 2014
Atomic force microscopic detection enabling multiplexed low-cycle-number quantitative polymerase chain reaction for biomarker assaysAndrey Mikheikin, Anita Olsen, Kevin Leslie, et al.
Bioinformatics (Oxford, England)|December 14, 2006
Functional genomics via multiscale analysis: application to gene expression and ChIP-on-chip dataGilad Lerman, Joseph McQuown, Alexandre Blais, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 24, 2010
Reverse engineering dynamic temporal models of biological processes and their relationshipsNaren Ramakrishnan, Satish Tadepalli, Layne T Watson, et al.
Pageof 7

Showing results (31-40 of 62) with videos related to

Sort By:
Pageof 7
Biorxiv : the Preprint Server for Biology|February 8, 2024
C1QA is an invariant biomarker for tissue macrophagesAmir Horowitz, Haocheng Yu, Sonalisa Pandey, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 22, 2005
A coherent framework for multiresolution analysis of biological networks with "memory": Ras pathway, cell cycle, and immune systemPaolo Emilio Barbano, Marina Spivak, Jiawu Feng, et al.
Systems and Synthetic Biology|April 1, 2009
Mathematical modeling of the formation of apoptosome in intrinsic pathway of apoptosisSeongho Ryu, Shih-Chieh Lin, Nadia Ugel, et al.
Developmental Biology|February 17, 2006
Quantitative analysis of germline mitosis in adult C. elegansJohn Maciejowski, Nadia Ugel, Bud Mishra, et al.
Journal of Bioinformatics and Computational Biology|April 3, 2009
Simultaneously segmenting multiple gene expression time courses by analyzing cluster dynamicsSatish Tadepalli, Naren Ramakrishnan, Layne T Watson, et al.
Journal of Molecular Evolution|March 26, 2008
Dropout alignment allows homology recognition and evolutionary analysis of rDNA intergenic spacersSeongho Ryu, Yoonkyung Do, David H A Fitch, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 10, 2004
A versatile statistical analysis algorithm to detect genome copy number variationRaoul-Sam Daruwala, Archisman Rudra, Harry Ostrer, et al.
Analytical Chemistry|June 12, 2014
Atomic force microscopic detection enabling multiplexed low-cycle-number quantitative polymerase chain reaction for biomarker assaysAndrey Mikheikin, Anita Olsen, Kevin Leslie, et al.
Bioinformatics (Oxford, England)|December 14, 2006
Functional genomics via multiscale analysis: application to gene expression and ChIP-on-chip dataGilad Lerman, Joseph McQuown, Alexandre Blais, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 24, 2010
Reverse engineering dynamic temporal models of biological processes and their relationshipsNaren Ramakrishnan, Satish Tadepalli, Layne T Watson, et al.
Pageof 7