Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data

Bias-corrected estimators for proportion of true null hypotheses: application of adaptive FDR-controlling in segmented failure data

(2021) Aniket Biswas et al.   JOURNAL OF APPLIED STATISTICS

Estimating the proportion of true null hypotheses with application in microarray data

(2020) Aniket Biswas   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

CoExpresso: assess the quantitative behavior of protein complexes in human cells

(2019) Morteza H. Chalabi et al.   BMC BIOINFORMATICS

Bias and variance reduction in estimating the proportion of true-null hypotheses

(2014) Y. Cheng et al.   BIOSTATISTICS

Estimating the proportion of true null hypotheses using the pattern of observedp-values

(2013) Tiejun Tong et al.   JOURNAL OF APPLIED STATISTICS

A cophenetic correlation coefficient for Tocher's method

(2013) Anderson Rodrigo da Silva et al.   PESQUISA AGROPECUARIA BRASILEIRA

Positive definite estimators of large covariance matrices

(2012) A. J. Rothman   BIOMETRIKA

Estimation of the proportion of true null hypotheses in high-dimensional data under dependence

(2011) Chloé Friguet et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A censored beta mixture model for the estimation of the proportion of non-differentially expressed genes

(2010) Anastasios Markitsis et al.   BIOINFORMATICS

A Factor Model Approach to Multiple Testing Under Dependence

(2010) Chloé Friguet et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Covariance regularization by thresholding

(2009) Peter J. Bickel et al.   ANNALS OF STATISTICS

On false discovery control under dependence

(2008) Wei Biao Wu   ANNALS OF STATISTICS

Large-scale multiple testing under dependence

(2008) Wenguang Sun et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY