scispace - formally typeset
L

Lei Guo

Researcher at National Center for Toxicological Research

Publications -  115
Citations -  8221

Lei Guo is an academic researcher from National Center for Toxicological Research. The author has contributed to research in topics: Endoplasmic reticulum & DNA damage. The author has an hindex of 39, co-authored 104 publications receiving 7466 citations. Previous affiliations of Lei Guo include Food and Drug Administration & Canadian Institutes of Health Research.

Papers
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies

TL;DR: The results provide practical guidance to choose the appropriate FC and P-value cutoffs when selecting a given number of DEGs and recommend the use of FC-ranking plus a non-stringent P cutoff as a straightforward and baseline practice in order to generate more reproducible DEG lists.
Journal ArticleDOI

Rat toxicogenomic study reveals analytical consistency across microarray platforms

TL;DR: The real-world toxicogenomic data set reported here showed high concordance in intersite and cross-platform comparisons and gene lists generated by fold-change ranking were more reproducible than those obtained by t-test P value or Significance Analysis of Microarrays.