Journal ArticleDOI
Nonparametric Statistical Methods
M. Knott,Myles Hollander,Douglas A. Wolfe +2 more
- Vol. 137, Iss: 2, pp 264-264
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The article was published on 1974-03-01. It has received 3841 citations till now. The article focuses on the topics: Nonparametric statistics.read more
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Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
Aravind Subramanian,Pablo Tamayo,Vamsi K. Mootha,Sayan Mukherjee,Benjamin L. Ebert,Michael A. Gillette,Amanda G. Paulovich,Scott L. Pomeroy,Todd R. Golub,Eric S. Lander,Jill P. Mesirov +10 more
TL;DR: The Gene Set Enrichment Analysis (GSEA) method as discussed by the authors focuses on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation.
Journal ArticleDOI
The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
Justin Lamb,Emily D. Crawford,David Peck,Joshua W. Modell,Irene C. Blat,Matthew J. Wrobel,Jim Lerner,Jean Philippe Brunet,Aravind Subramanian,Kenneth N. Ross,Michael Reich,Haley Hieronymus,Haley Hieronymus,Guo Wei,Guo Wei,Scott A. Armstrong,Scott A. Armstrong,Stephen J. Haggarty,Stephen J. Haggarty,Paul A. Clemons,Ru Wei,Steven A. Carr,Eric S. Lander,Eric S. Lander,Todd R. Golub +24 more
TL;DR: The first installment of a reference collection of gene-expression profiles from cultured human cells treated with bioactive small molecules is created, and it is demonstrated that this “Connectivity Map” resource can be used to find connections among small molecules sharing a mechanism of action, chemicals and physiological processes, and diseases and drugs.
Journal ArticleDOI
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
TL;DR: The basics are discussed and a survey of a complete set of nonparametric procedures developed to perform both pairwise and multiple comparisons, for multi-problem analysis are given.
Journal ArticleDOI
Use of proteomic patterns in serum to identify ovarian cancer
Emanuel F. Petricoin,Ali M. Ardekani,Ben A. Hitt,Peter J. Levine,Vincent A. Fusaro,Seth M. Steinberg,Gordon B. Mills,Charles B. Simone,David A. Fishman,Elise C. Kohn,Lance A. Liotta +10 more
TL;DR: A bioinformatics tool was developed and used to identify proteomic patterns in serum that distinguish neoplastic from non-neoplastic disease within the ovary, justifying a prospective population-based assessment of proteomic pattern technology as a screening tool for all stages of ovarian cancer in high-risk and general populations.
Journal ArticleDOI
An atlas of active enhancers across human cell types and tissues
Robin Andersson,Claudia Gebhard,Irene Miguel-Escalada,Ilka Hoof,Jette Bornholdt,Mette Boyd,Yun Chen,Xiaobei Zhao,Xiaobei Zhao,Christian Schmidl,Takahiro Suzuki,Evgenia Ntini,Erik Arner,Eivind Valen,Eivind Valen,Kang Li,Lucia Schwarzfischer,Dagmar Glatz,Johanna Raithel,Berit Lilje,Nicolas Rapin,Frederik Otzen Bagger,Mette Rose Jørgensen,Peter Refsing Andersen,Nicolas Bertin,Owen J. L. Rackham,A. Maxwell Burroughs,J Kenneth Baillie,Yuri Ishizu,Yuri Shimizu,Erina Furuhata,Shiori Maeda,Yutaka Negishi,Christopher J. Mungall,Terrence F. Meehan,Timo Lassmann,Masayoshi Itoh,Hideya Kawaji,Naoto Kondo,Jun Kawai,Andreas Lennartsson,Carsten O. Daub,Peter Heutink,David A. Hume,Torben Heick Jensen,Harukazu Suzuki,Yoshihide Hayashizaki,Ferenc Müller,Alistair R. R. Forrest,Piero Carninci,Michael Rehli,Albin Sandelin +51 more
TL;DR: It is shown that enhancers share properties with CpG-poor messenger RNA promoters but produce bidirectional, exosome-sensitive, relatively short unspliced RNAs, the generation of which is strongly related to enhancer activity.