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Roger Perkins

Researcher at Food and Drug Administration

Publications -  95
Citations -  12608

Roger Perkins is an academic researcher from Food and Drug Administration. The author has contributed to research in topics: Quantitative structure–activity relationship & Estrogen receptor binding. The author has an hindex of 50, co-authored 95 publications receiving 11728 citations. Previous affiliations of Roger Perkins include ICF International & National Center for Toxicological Research.

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The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

Leming Shi, +136 more
- 01 Sep 2006 - 
TL;DR: This study describes the experimental design and probe mapping efforts behind the MicroArray Quality Control project and shows intraplatform consistency across test sites as well as a high level of interplatform concordance in terms of genes identified as differentially expressed.
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A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

Zhenqiang Su, +164 more
- 01 Sep 2014 - 
TL;DR: The complete SEQC data sets, comprising >100 billion reads, provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings, and measurement performance depends on the platform and data analysis pipeline, and variation is large for transcript-level profiling.
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The Estrogen Receptor Relative Binding Affinities of 188 Natural and Xenochemicals: Structural Diversity of Ligands

TL;DR: The current study provides the most structurally diverse ER RBA data set with the widest range of RBA values published to date.
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The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Leming Shi, +201 more
- 01 Aug 2010 - 
TL;DR: P predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans are generated.