BIOINFORMATICS ORIGINAL PAPER Gene expression

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Statistics Hypothesis testing Statistical theory Principal component analysis KolmogorovSmirnov test Null hypothesis Factor analysis Statistical hypothesis testing False discovery rate Null P-value Multiple comparisons problem		BIOINFORMATICS ORIGINAL PAPER Gene expression Add to Reading List Source URL: bioinformatics.oxfordjournals.org Download Document from Source Website File Size: 442,77 KB Share Document on Facebook

	The failure of null hypothesis significance testing when studying incremental changes, and what to do about it∗ Andrew Gelman† 3 JulAbstract DocID: 1uUlT - View Document
	Appendix 5 Computing the Power of Statistical Tests There are two types of errors that one can make when performing a statistical test. A false positive (a Type I error) occurs when the null hypothesis is rejected when DocID: 1u93f - View Document
	DISCUSSION NOTE Null-hypothesis significance testing of word frequencies: a follow-up on Kilgarriff* STEFAN TH. GRIES DocID: 1tyPe - View Document
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	Results of Pharmacophore hypothesis generated using training set against LTA4H inhibitors HYPOTHESIS NUMBER TOTAL COST DIFFERENCE OF TOTAL COST AND NULL COST RMS DEVIATION FEATURES TEST SET CORRELATION 1 53.62 1 DocID: 1rycJ - View Document