Work

On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data

Year: 2001

Type: article

Source: Journal of Computational Biology

DOI: 10.1089/106652701300099074

Authors: M.A. Newton, C.M. Kendziorski, C.S. Richmond, F.R. Blattner, K.W. Tsui

Institution: University of Wisconsin–Madison

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

Funders: National Institutes of Health, National Cancer Institute, National Institute of General Medical Sciences

Awards: G1328113909, G1556327591, G2943646181, COMPLETE DISSECTION OF ESCHERICHIA COLI GENOME, STATISTICAL METHODS FOR MOLECULAR CANCER DATA, TRAINING IN CANCER BIOSTATISTICS

OpenAlex ID: W1995017987

FWCI: 24.51

Cites: 48

Cited by: 739

Related to: 10