KTH Matematik  

Matematisk Statistik

Tid: 16 maj 2011 kl 15.15-16.00.

Seminarierummet 3721, Institutionen för matematik, KTH, Lindstedts väg 25. Karta!

Föredragshållare: Lukas Käll, Center for Biomembrane Research, Dep. of Biochemistry and Biophysics Stockholms Universitet

Titel: A semi-supervised method to assess and improving confidence in identifications in shotgun proteomics

Abstract Shotgun proteomics uses liquid chromatography-tandem mass spectrometry to identify proteins in complex biological samples. Here we first describe an algorithm, called Percolator, for improving the rate of confident peptide identifications from a collection of tandem mass spectra. Percolator uses semi-supervised machine learning to discriminate between correct and decoy spectrum identifications. We will describe a recent extension of the feature set of percolator, were we use the deviance between predicted and observed retention time of the peptides as an indicator of correctness.

Till seminarielistan
To the list of seminars

Sidansvarig: Filip Lindskog
Uppdaterad: 25/02-2009