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most citedApplication of Volcano Plots in Analyses of mRNA Differential Expressions with Microarrays

226 citations

Showing q-bio.QMShow all

8 papers · 1 filter

q-bio.QM2020★ 4 cited

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

Sarah N Dudgeon, Si Wen, Matthew G Hanna +19

Purpose: In this work, we present a collaboration to create a validation dataset of pathologist annotations for algorithms that process whole slide images (WSIs). We focus on data…

q-bio.QM2013★ 31 cited

Using Volcano Plots and Regularized-Chi Statistics in Genetic Association Studies

Wentian Li, Jan Freudenberg, Young Ju Suh +1

Labor intensive experiments are typically required to identify the causal disease variants from a list of disease associated variants in the genome. For designing such experiments,…

q-bio.QM2011★ 226 cited

Application of Volcano Plots in Analyses of mRNA Differential Expressions with Microarrays

Wentian Li

Volcano plot displays unstandardized signal (e.g. log-fold-change) against noise-adjusted/standardized signal (e.g. t-statistic or -log10(p-value) from the t test). We review the b…

q-bio.QM2009★ 1 cited

Fractal Characterizations of MAX Statistical Distribution in Genetic Association Studies

Wentian Li, Yaning Yang

Two non-integer parameters are defined for MAX statistics, which are maxima of simpler test statistics. The first parameter, , is the fractional number of tests, repre…

q-bio.QM2006★ 24 cited

Effective Sample Size: Quick Estimation of the Effect of Related Samples in Genetic Case-Control Association Analyses

Yaning Yang, Elaine F. Remmers, Chukwuma B. Ogunwole +3

Affected relatives are essential for pedigree linkage analysis, however, they cause a violation of the independent sample assumption in case-control association studies. To avoid t…

q-bio.QM2006★ 10 cited

Does Logarithm Transformation of Microarray Data Affect Ranking Order of Differentially Expressed Genes?

Wentian Li, Young Ju Suh, Jingshan Zhang

A common practice in microarray analysis is to transform the microarray raw data (light intensity) by a logarithmic transformation, and the justification for this transformation is…