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The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . Nat Biotechnol, 28 (8): 827--838 (August 2010)

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The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models., , , , , , , , , and 193 other author(s). Nat Biotechnol, 28 (8): 827--838 (August 2010)Genome-wide Protein-chemical Interaction Prediction.. University of Kansas, USA, (2011)base-search.net (ftunivkansas:oai:kuscholarworks.ku.edu:1808/8030).Chemical Compound Classification with Automatically Mined Structure Patterns., , and . APBC, volume 6 of Advances in Bioinformatics and Computational Biology, page 39-48. Imperial College Press, (2008)KUChemBio: A repository of computational chemical biology data sets., and . IEEE BigData, page 37-42. IEEE Computer Society, (2013)Application of kernel functions for accurate similarity search in large chemical databases., , , and . BMC Bioinform., 11 (S-3): 8 (2010)GPM: A graph pattern matching kernel with diffusion for chemical compound classification., , and . BIBE, page 1-6. IEEE, (2008)Graph Wavelet Alignment Kernels for Drug Virtual Screening., , and . J. Bioinform. Comput. Biol., 7 (3): 473-497 (2009)Human Disease-Gene Classification with Integrative Sequence-Based and Topological Features of Protein-Protein Interaction Networks., , and . BIBM, page 209-216. IEEE Computer Society, (2007)Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases., , , and . BIBM, page 356-361. IEEE Computer Society, (2009)Similarity boosting for label noise tolerance in protein-chemical interaction prediction., , and . BCB, page 226-234. ACM, (2011)