Viktor Granholm
Publications by Year
Research Areas
Advanced Proteomics Techniques and Applications, Mass Spectrometry Techniques and Applications, Machine Learning in Bioinformatics, RNA and protein synthesis mechanisms, Gene expression and cancer classification
Most-Cited Works
- → HiRIEF LC-MS enables deep proteome coverage and unbiased proteogenomics(2013)283 cited
- → Fast and Accurate Database Searches with MS-GF+Percolator(2013)106 cited
- → Determining the calibration of confidence estimation procedures for unique peptides in shotgun proteomics(2012)68 cited
- → On Using Samples of Known Protein Content to Assess the Statistical Calibration of Scores Assigned to Peptide-Spectrum Matches in Shotgun Proteomics(2011)64 cited
- → A cross-validation scheme for machine learning algorithms in shotgun proteomics(2012)53 cited
- → Quality assessments of peptide–spectrum matches in shotgun proteomics(2011)48 cited
- → Mass Fingerprinting of Complex Mixtures: Protein Inference from High-Resolution Peptide Masses and Predicted Retention Times(2013)17 cited
- → Membrane protein shaving with thermolysin can be used to evaluate topology predictors(2013)9 cited
- → Design and conformational analysis of natively folded β‐hairpin peptides stabilized by nucleobase interactions(2010)5 cited