An efficient Monte Carlo approach to assessing statistical significance in genomic studies.

Lin, D Y

An efficient Monte Carlo approach to assessing statistical significance in genomic studies. [electronic resource] - Bioinformatics (Oxford, England) Mar 2005 - 781-7 p. digital

Publication Type: Comparative Study; Evaluation Study; Journal Article; Research Support, U.S. Gov't, P.H.S.

1367-4803

10.1093/bioinformatics/bti053 doi


Algorithms
Biomarkers, Tumor--metabolism
Chromosome Mapping--methods
Data Interpretation, Statistical
Gene Expression Profiling--methods
Genomics--methods
Humans
Lung Neoplasms--diagnosis
Models, Genetic
Models, Statistical
Monte Carlo Method
Neoplasm Proteins--genetics
Oligonucleotide Array Sequence Analysis--methods
Reproducibility of Results
Sensitivity and Specificity
Sequence Analysis, DNA--methods