Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms - Guo, Yu; Graber, Armin; McBurney, Robert N; Balasubramanian, Raji (BMC bioinformatics, 2010)
Keywords: Accuracy; Algorithms; Animal models; Animals; Bioinformatics; Biological markers; Biomarkers; Biomedical and Life Sciences; Classification - methods; Comparative studies; Computational biology; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Databases, Factual; Design; Discriminant analysis; Gene expression; Gene Expression Profiling - methods; Genetic algorithms; Humans; Life Sciences; Mass spectrometry; Methods; Microarrays; Models, Statistical; Oligonucleotide Array Sequence Analysis - methods; Pattern Recognition, Automated; Proteomics; Research Article; Sample Size; Standard deviation; Studies; United States; United Kingdom; Simulated Dataset; Recursive Feature Elimination; Support Vector Machine; Average Classification Accuracy; Random Forest