Work

A model-based scan statistic for identifying extreme chromosomal regions of gene expression in human tumors

Year: 2005

Type: article

Source: Computer applications in the biosciences

DOI: 10.1093/bioinformatics/bti417

Authors: A. M. Levin, D. Ghosh, K. R. Cho, S. L. R. Kardia

Institution: University of Michigan

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Innovative Research Group Project of the National Natural Science Foundation of China, National Institutes of Health, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Cancer Institute, National Institute of General Medical Sciences

Awards: TOWARDS A MOLECULAR CLASSIFICATION OF TUMORS, G5800101045, G590700339, University of Michigan Training Program in Genomic Science, G904881343, Statistical Methods for the Analysis of Functional Genomic Data, G983552880

OpenAlex ID: W2133969293

FWCI: 2.188

Cites: 24

Cited by: 37

Related to: 10