Literature DB >> 15817688

twilight; a Bioconductor package for estimating the local false discovery rate.

Stefanie Scheid1, Rainer Spang.   

Abstract

UNLABELLED: twilight is a Bioconductor compatible package for analysing the statistical significance of differentially expressed genes. It is based on the concept of the local false discovery rate (FDR), a generalization of the frequently used global FDR. twilight implements the heuristic search algorithm for estimating the local FDR introduced in our earlier work. In addition to the raw significance measures, it produces diagnostic plots, which provide insight into the extent of differential expression across genes. AVAILABILITY: http://www.bioconductor.org CONTACT: stefanie.scheid@molgen.mpg.de SUPPLEMENTARY INFORMATION: Please visit our software webpage on http://compdiag.molgen.mpg.de/software.

Mesh：

Year:  2005        PMID： 15817688     DOI： 10.1093/bioinformatics/bti436

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  21 in total

1.  An economic framework to prioritize confirmatory tests after a high-throughput screen.

Authors:  S Joshua Swamidass; Joshua A Bittker; Nicole E Bodycombe; Sean P Ryder; Paul A Clemons
Journal:  J Biomol Screen       Date:  2010-06-14

2.  Biological characterization of adult MYC-translocation-positive mature B-cell lymphomas other than molecular Burkitt lymphoma.

Authors:  Sietse M Aukema; Markus Kreuz; Christian W Kohler; Maciej Rosolowski; Dirk Hasenclever; Michael Hummel; Ralf Küppers; Dido Lenze; German Ott; Christiane Pott; Julia Richter; Andreas Rosenwald; Monika Szczepanowski; Carsten Schwaenen; Harald Stein; Heiko Trautmann; Swen Wessendorf; Lorenz Trümper; Markus Loeffler; Rainer Spang; Philip M Kluin; Wolfram Klapper; Reiner Siebert
Journal:  Haematologica       Date:  2013-10-31       Impact factor: 9.941

3.  Identification of common microRNA-mRNA regulatory biomodules in human epithelial cancers.

Authors:  Xinan Yang; Younghee Lee; Hong Fan; Xiao Sun; Yves A Lussier
Journal:  Chin Sci Bull       Date:  2010-11

4.  Novel Gene and Network Associations Found for Acute Lymphoblastic Leukemia Using Case-Control and Family-Based Studies in Multiethnic Populations.

Authors:  Priyanka Nakka; Natalie P Archer; Heng Xu; Philip J Lupo; Benjamin J Raphael; Jun J Yang; Sohini Ramachandran
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-07-27       Impact factor: 4.254

5.  Identification of differentially expressed miRNAs associated with chronic kidney disease-mineral bone disorder.

Authors:  Kyung Im Kim; Sohyun Jeong; Nayoung Han; Jung Mi Oh; Kook-Hwan Oh; In-Wha Kim
Journal:  Front Med       Date:  2017-06-14       Impact factor: 4.592

6.  AAPL: Assessing Association between P-value Lists.

Authors:  Tianwei Yu; Yize Zhao; Shihao Shen
Journal:  Stat Anal Data Min       Date:  2013-04-01       Impact factor: 1.051

7.  Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer.

Authors:  Héctor Climente-González; Christine Lonjou; Fabienne Lesueur; Dominique Stoppa-Lyonnet; Nadine Andrieu; Chloé-Agathe Azencott
Journal:  PLoS Comput Biol       Date:  2021-03-18       Impact factor: 4.475

8.  Mechanism-anchored profiling derived from epigenetic networks predicts outcome in acute lymphoblastic leukemia.

Authors:  Xinan Yang; Yong Huang; James L Chen; Jianming Xie; Xiao Sun; Yves A Lussier
Journal:  BMC Bioinformatics       Date:  2009-09-17       Impact factor: 3.169

9.  Network modeling identifies molecular functions targeted by miR-204 to suppress head and neck tumor metastasis.

Authors:  Younghee Lee; Xinan Yang; Yong Huang; Hanli Fan; Qingbei Zhang; Youngfei Wu; Jianrong Li; Rifat Hasina; Chao Cheng; Mark W Lingen; Mark B Gerstein; Ralph R Weichselbaum; H Rosie Xing; Yves A Lussier
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

10.  Local false discovery rate facilitates comparison of different microarray experiments.

Authors:  Wan-Jen Hong; Robert Tibshirani; Gilbert Chu
Journal:  Nucleic Acids Res       Date:  2009-12       Impact factor: 16.971
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.