Literature DB >> 21059952

Filtering data from high-throughput experiments based on measurement reliability.

Willem Talloen, Sepp Hochreiter, Luc Bijnens, Adetayo Kasim, Ziv Shkedy, Dhammika Amaratunga, Hinrich Göhlmann.   

Abstract

Mesh：

Year:  2010        PMID： 21059952      PMCID： PMC2993399          DOI： 10.1073/pnas.1010604107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN： 0027-8424            Impact factor:   11.205


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  2 in total

1.  Independent filtering increases detection power for high-throughput experiments.

Authors:  Richard Bourgon; Robert Gentleman; Wolfgang Huber
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-11       Impact factor: 11.205

2.  I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data.

Authors:  Willem Talloen; Djork-Arné Clevert; Sepp Hochreiter; Dhammika Amaratunga; Luc Bijnens; Stefan Kass; Hinrich W H Göhlmann
Journal:  Bioinformatics       Date:  2007-10-05       Impact factor: 6.937
  2 in total
  9 in total

1.  Regorafenib Reverses Temozolomide-Induced CXCL12/CXCR4 Signaling and Triggers Apoptosis Mechanism in Glioblastoma.

Authors:  I-Tsang Chiang; Yu-Chang Liu; Hua-Shan Liu; Ahmed Atef Ahmed Ali; Szu-Yi Chou; Tsung-I Hsu; Fei-Ting Hsu
Journal:  Neurotherapeutics       Date:  2022-03-10       Impact factor: 6.088

2.  cn.FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate.

Authors:  Djork-Arné Clevert; Andreas Mitterecker; Andreas Mayr; Günter Klambauer; Marianne Tuefferd; An De Bondt; Willem Talloen; Hinrich Göhlmann; Sepp Hochreiter
Journal:  Nucleic Acids Res       Date:  2011-04-12       Impact factor: 16.971

3.  cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate.

Authors:  Günter Klambauer; Karin Schwarzbauer; Andreas Mayr; Djork-Arné Clevert; Andreas Mitterecker; Ulrich Bodenhofer; Sepp Hochreiter
Journal:  Nucleic Acids Res       Date:  2012-02-01       Impact factor: 16.971

4.  HapFABIA: identification of very short segments of identity by descent characterized by rare variants in large sequencing data.

Authors:  Sepp Hochreiter
Journal:  Nucleic Acids Res       Date:  2013-10-29       Impact factor: 16.971

5.  Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses.

Authors:  Niamh M Troy; Elysia M Hollams; Patrick G Holt; Anthony Bosco
Journal:  BMC Med Genomics       Date:  2016-02-27       Impact factor: 3.063

6.  H-RACS: a handy tool to rank anti-cancer synergistic drugs.

Authors:  Xinmiao Yan; Yiyan Yang; Zikun Chen; Zuojing Yin; Zeliang Deng; Tianyi Qiu; Kailin Tang; Zhiwei Cao
Journal:  Aging (Albany NY)       Date:  2020-11-10       Impact factor: 5.682

7.  DEXUS: identifying differential expression in RNA-Seq studies with unknown conditions.

Authors:  Günter Klambauer; Thomas Unterthiner; Sepp Hochreiter
Journal:  Nucleic Acids Res       Date:  2013-09-17       Impact factor: 16.971

8.  Serum amyloid A1 in combination with integrin αVβ3 increases glioblastoma cells mobility and progression.

Authors:  Ching-Yu Lin; Shun-Tai Yang; Shing-Chuan Shen; Yi-Chen Hsieh; Fei-Ting Hsu; Cheng-Yu Chen; Yung-Hsiao Chiang; Jian-Ying Chuang; Kai-Yun Chen; Tsung-I Hsu; Wan-Chong Leong; Yu-Kai Su; Wei-Lun Lo; Yi-Shian Yeh; Yudha Nur Patria; Hsiu-Ming Shih; Che-Chang Chang; Szu-Yi Chou
Journal:  Mol Oncol       Date:  2018-04-17       Impact factor: 6.603

9.  Prostaglandin E2 directly inhibits the conversion of inducible regulatory T cells through EP2 and EP4 receptors via antagonizing TGF-β signalling.

Authors:  Marie Goepp; Siobhan Crittenden; You Zhou; Adriano G Rossi; Shuh Narumiya; Chengcan Yao
Journal:  Immunology       Date:  2021-10-01       Impact factor: 7.397
  9 in total

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