Expression Microarray Classification using Topic Models

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Date: 2012-06-26 09:41:01 Microarrays Categorical data Probabilistic latent semantic analysis Latent Dirichlet allocation Natural language processing Bioinformatics Topic model Document-term matrix DNA microarray Statistics Statistical natural language processing Machine learning		Expression Microarray Classification using Topic Models Add to Reading List Source URL: profs.sci.univr.it Download Document from Source Website File Size: 402,44 KB Share Document on Facebook

	PROTOCOL Universal protein-binding microarrays for the comprehensive characterization of the DNA-binding specificities of transcription factors Michael F Berger1,2 & Martha L Bulyk1–4 DocID: 1vjhs - View Document
	Profiling C. elegans gene expression with DNA microarrays* Douglas S. Portman§, Center for Aging and Developmental Biology, Department of Biomedical Genetics, University of Rochester School of Medicine and Dentistry, Ro DocID: 1vfU6 - View Document
	Profiling C. elegans gene expression with DNA microarrays* Douglas S. Portman§, Center for Aging and Developmental Biology, Department of Biomedical Genetics, University of Rochester School of Medicine and Dentistry, Ro DocID: 1uPjU - View Document
	Published online 7 DecemberNucleic Acids Research, 2007, Vol. 35, No. 2 e8 doi:nar/gkl871 Positional artifacts in microarrays: experimental DocID: 1uOYR - View Document
	Downloaded from genesdev.cshlp.org on May 3, Published by Cold Spring Harbor Laboratory Press Diverse protein kinase interactions identified by protein microarrays reveal novel connections between cellular proces DocID: 1u9s7 - View Document