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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
Human Molecular Genetics|September 25, 2016
Finding lost genes in GWAS via integrative-omics analysis reveals novel sub-networks associated with preterm birthDouglas Brubaker, Yu Liu, Junye Wang, et al.
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.
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.
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