Literature DB >> 17623700

RefPlus: an R package extending the RMA Algorithm.

Chris Harbron1, Kai-Ming Chang, Marie C South.   

Abstract

UNLABELLED: RMA has become a widely used methodology to pre-process Affymetrix gene expression microarrays. A limitation of RMA is that the calculated probeset intensities change when a set of microarrays is re-pre-processed after the inclusion of additional microarrays into the analysis set. Here we report the availability of the RefPlus package containing functions to perform the Extrapolation Strategy and Extrapolation Averaging algorithms which address these issues. AVAILABILITY: The software is implemented in the R language and can be downloaded from the Bioconductor project website (http://www.bioconductor.org). SUPPLEMENTARY INFORMATION: Further details of the workings and evaluation of these functions are given in the documentation available on the Bioconductor website.

Mesh:

Year:  2007        PMID: 17623700     DOI: 10.1093/bioinformatics/btm357

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


  19 in total

1.  OsCAD2 is the major CAD gene responsible for monolignol biosynthesis in rice culm.

Authors:  Ko Hirano; Koichiro Aya; Mari Kondo; Ayako Okuno; Yoichi Morinaka; Makoto Matsuoka
Journal:  Plant Cell Rep       Date:  2011-09-13       Impact factor: 4.570

2.  Novel multivariate methods for integration of genomics and proteomics data: applications in a kidney transplant rejection study.

Authors:  Oliver P Günther; Heesun Shin; Raymond T Ng; W Robert McMaster; Bruce M McManus; Paul A Keown; Scott J Tebbutt; Kim-Anh Lê Cao
Journal:  OMICS       Date:  2014-11

3.  A new ten-gene risk fraction model serving as prognostic indicator for clinical outcome of multiple myeloma.

Authors:  Ai-Xin Hu; Zhi-Yong Huang; Ping Liu; Tian Xiang; Shi Yan; Li Zhang
Journal:  Tumour Biol       Date:  2016-10-05

4.  Patients With Proneural Glioblastoma May Derive Overall Survival Benefit From the Addition of Bevacizumab to First-Line Radiotherapy and Temozolomide: Retrospective Analysis of the AVAglio Trial.

Authors:  Thomas Sandmann; Richard Bourgon; Josep Garcia; Congfen Li; Timothy Cloughesy; Olivier L Chinot; Wolfgang Wick; Ryo Nishikawa; Warren Mason; Roger Henriksson; Frank Saran; Albert Lai; Nicola Moore; Samir Kharbanda; Franklin Peale; Priti Hegde; Lauren E Abrey; Heidi S Phillips; Carlos Bais
Journal:  J Clin Oncol       Date:  2015-06-29       Impact factor: 44.544

5.  Human embryonic stem cell-derived test systems for developmental neurotoxicity: a transcriptomics approach.

Authors:  Anne K Krug; Raivo Kolde; John A Gaspar; Eugen Rempel; Nina V Balmer; Kesavan Meganathan; Kinga Vojnits; Mathurin Baquié; Tanja Waldmann; Roberto Ensenat-Waser; Smita Jagtap; Richard M Evans; Stephanie Julien; Hedi Peterson; Dimitra Zagoura; Suzanne Kadereit; Daniel Gerhard; Isaia Sotiriadou; Michael Heke; Karthick Natarajan; Margit Henry; Johannes Winkler; Rosemarie Marchan; Luc Stoppini; Sieto Bosgra; Joost Westerhout; Miriam Verwei; Jaak Vilo; Andreas Kortenkamp; Jürgen Hescheler; Ludwig Hothorn; Susanne Bremer; Christoph van Thriel; Karl-Heinz Krause; Jan G Hengstler; Jörg Rahnenführer; Marcel Leist; Agapios Sachinidis
Journal:  Arch Toxicol       Date:  2012-11-21       Impact factor: 5.153

6.  A distinct p53 target gene set predicts for response to the selective p53-HDM2 inhibitor NVP-CGM097.

Authors:  Sébastien Jeay; Swann Gaulis; Stéphane Ferretti; Hans Bitter; Moriko Ito; Thérèse Valat; Masato Murakami; Stephan Ruetz; Daniel A Guthy; Caroline Rynn; Michael R Jensen; Marion Wiesmann; Joerg Kallen; Pascal Furet; François Gessier; Philipp Holzer; Keiichi Masuya; Jens Würthner; Ensar Halilovic; Francesco Hofmann; William R Sellers; Diana Graus Porta
Journal:  Elife       Date:  2015-05-12       Impact factor: 8.140

7.  A transcriptome-based classifier to identify developmental toxicants by stem cell testing: design, validation and optimization for histone deacetylase inhibitors.

Authors:  Eugen Rempel; Lisa Hoelting; Tanja Waldmann; Nina V Balmer; Stefan Schildknecht; Marianna Grinberg; John Antony Das Gaspar; Vaibhav Shinde; Regina Stöber; Rosemarie Marchan; Christoph van Thriel; Julia Liebing; Johannes Meisig; Nils Blüthgen; Agapios Sachinidis; Jörg Rahnenführer; Jan G Hengstler; Marcel Leist
Journal:  Arch Toxicol       Date:  2015-08-14       Impact factor: 5.153

8.  An integrative model of multi-organ drug-induced toxicity prediction using gene-expression data.

Authors:  Jinwoo Kim; Miyoung Shin
Journal:  BMC Bioinformatics       Date:  2014-12-08       Impact factor: 3.169

9.  A computational pipeline for the development of multi-marker bio-signature panels and ensemble classifiers.

Authors:  Oliver P Günther; Virginia Chen; Gabriela Cohen Freue; Robert F Balshaw; Scott J Tebbutt; Zsuzsanna Hollander; Mandeep Takhar; W Robert McMaster; Bruce M McManus; Paul A Keown; Raymond T Ng
Journal:  BMC Bioinformatics       Date:  2012-12-08       Impact factor: 3.169

10.  A weighted average difference method for detecting differentially expressed genes from microarray data.

Authors:  Koji Kadota; Yuji Nakai; Kentaro Shimizu
Journal:  Algorithms Mol Biol       Date:  2008-06-26       Impact factor: 1.405

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.