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Mark R Chance

Showing results (31-40 of 202) with videos related to

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Bioinformatics (Oxford, England)|June 29, 2017
The KSEA App: a web-based tool for kinase activity inference from quantitative phosphoproteomicsDanica D Wiredja, Mehmet Koyutürk, Mark R Chance
BMC Systems Biology|August 21, 2016
A dynamical systems model of progesterone receptor interactions with inflammation in human parturitionDouglas Brubaker, Alethea Barbaro, Mark R Chance, et al.
Current Opinion in Structural Biology|December 5, 2002
Probing the structural dynamics of nucleic acids by quantitative time-resolved and equilibrium hydroxyl radical "footprinting"Michael Brenowitz, Mark R Chance, Gauri Dhavan, et al.
Journal of Clinical Bioinformatics|May 24, 2012
Splitting random forest (SRF) for determining compact sets of genes that distinguish between cancer subtypesXiaowei Guan, Mark R Chance, Jill S Barnholtz-Sloan
Bioinformatics (Oxford, England)|June 22, 2022
Functional characterization of co-phosphorylation networksMarzieh Ayati, Serhan Yılmaz, Mark R Chance, et al.
BMC Bioinformatics|August 9, 2012
Pairwise protein expression classifier for candidate biomarker discovery for early detection of human disease prognosisParminder Kaur, Daniela Schlatzer, Kenneth Cooke, et al.
Biochemistry|April 2, 2003
Solution structure and interdomain interactions of the Saccharomyces cerevisiae "TATA binding protein" (TBP) probed by radiolytic protein footprintingHassan Rashidzadeh, Sergei Khrapunov, Mark R Chance, et al.
Journal of Clinical and Translational Science|June 2, 2022
Training the next generation of translational scientists: The Case Western Reserve University Translational Fellows ProgramCheryl L Thompson, Tessianna A Misko, Mark R Chance
Analytical Chemistry|May 14, 2005
Secondary reactions and strategies to improve quantitative protein footprintingGuozhong Xu, Janna Kiselar, Qin He, et al.
Advances in Experimental Medicine and Biology|December 9, 2017
A Practical Guide to iSPOT Modeling: An Integrative Structural Biology PlatformAn Hsieh, Lanyuan Lu, Mark R Chance, et al.
Pageof 21

Showing results (31-40 of 202) with videos related to

Sort By:
Pageof 21
Bioinformatics (Oxford, England)|June 29, 2017
The KSEA App: a web-based tool for kinase activity inference from quantitative phosphoproteomicsDanica D Wiredja, Mehmet Koyutürk, Mark R Chance
BMC Systems Biology|August 21, 2016
A dynamical systems model of progesterone receptor interactions with inflammation in human parturitionDouglas Brubaker, Alethea Barbaro, Mark R Chance, et al.
Current Opinion in Structural Biology|December 5, 2002
Probing the structural dynamics of nucleic acids by quantitative time-resolved and equilibrium hydroxyl radical "footprinting"Michael Brenowitz, Mark R Chance, Gauri Dhavan, et al.
Journal of Clinical Bioinformatics|May 24, 2012
Splitting random forest (SRF) for determining compact sets of genes that distinguish between cancer subtypesXiaowei Guan, Mark R Chance, Jill S Barnholtz-Sloan
Bioinformatics (Oxford, England)|June 22, 2022
Functional characterization of co-phosphorylation networksMarzieh Ayati, Serhan Yılmaz, Mark R Chance, et al.
BMC Bioinformatics|August 9, 2012
Pairwise protein expression classifier for candidate biomarker discovery for early detection of human disease prognosisParminder Kaur, Daniela Schlatzer, Kenneth Cooke, et al.
Biochemistry|April 2, 2003
Solution structure and interdomain interactions of the Saccharomyces cerevisiae "TATA binding protein" (TBP) probed by radiolytic protein footprintingHassan Rashidzadeh, Sergei Khrapunov, Mark R Chance, et al.
Journal of Clinical and Translational Science|June 2, 2022
Training the next generation of translational scientists: The Case Western Reserve University Translational Fellows ProgramCheryl L Thompson, Tessianna A Misko, Mark R Chance
Analytical Chemistry|May 14, 2005
Secondary reactions and strategies to improve quantitative protein footprintingGuozhong Xu, Janna Kiselar, Qin He, et al.
Advances in Experimental Medicine and Biology|December 9, 2017
A Practical Guide to iSPOT Modeling: An Integrative Structural Biology PlatformAn Hsieh, Lanyuan Lu, Mark R Chance, et al.
Pageof 21