title: Derivative scores from site accessibility and ranking of miRNA target predictions.
abstract: In the present study, we define derivative scoring functions from PITA and STarMir predictions. The scoring functions are evaluated for up to five selected miRNAs with a relatively large number of validated targets reported by TarBase and miRecords. The average ranking of validated targets returned by PITA and STarMir is compared to the average ranking produced by the new derivatives scores. We obtain an average improvement of 13.6% (STD∼5.7%) relative to the average ranking of validated targets produced by PITA and STarMir.
authors.affiliation: Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK. d.ullah@qmul.ac.uk
authors.forename: Abu Z M Dayem
authors.initials: AZ
authors.lastname: Ullah
authors.forename: Sudhakar
authors.initials: S
authors.lastname: Sahoo
authors.forename: Kathleen
authors.initials: K
authors.lastname: Steinhöfel
authors.forename: Andreas A
authors.initials: AA
authors.lastname: Albrecht
mesh_terms: D019295:Computational Biology; D035683:MicroRNAs / Q000737:chemistry*; D017423:Sequence Analysis, RNA; D012984:Software
chemical_list: D035683:MicroRNAs