Statistical Analysis in Bioinformatics

CREATED: 200701011158 ** Functional study of genes

• comparative genomics (cross species/group comparison) ** homolog search ** phylogenetic tree - evolution of species, diseases development
• mutation ** induction ** knock-out ** knock-down ** deduce the model, statistical inference
• mRNA (gene expression) ** sequence a part of the gene ** hybridization *** How to get unique expression intensity from multple prob intensities? *** Gene ranking, is t-statistic or ANNOVA a good method? *** What are the genes involved in a certain pathway?

** Proteomics

• at least 0.5 million proteins
• rules less clear
• data variations larger

** Live-cell bioimaging

• SNR is smaller
• cells are movable

** Statistical learning to find biomarkers

• cross validation != robustness or statistical significance
• data are with measurement errors
• probability of measurements errors are: ** tail heavy ** asymmetric