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Dive into the research topics where Jan Ramon is active.

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Featured researches published by Jan Ramon.


Bioinformatics | 2013

PIUS: peptide identification by unbiased search

Eduardo De Paula Costa; Gerben Menschaert; Walter Luyten; Kurt De Grave; Jan Ramon

SUMMARYnWe present PIUS, a tool that identifies peptides from tandem mass spectrometry data by analyzing the six-frame translation of a complete genome. It differs from earlier studies that have performed such a genomic search in two ways: (i) it considers a larger search space and (ii) it is designed for natural peptide identification rather than proteomics. Differently from other peptidomics tools designed for genome-wide searches, PIUS does not limit the analysis to a set of sequences that match a list of de novo reconstructions.nnnAVAILABILITYnSource code, executables and a detailed technical report are freely available at http://dtai.cs.kuleuven.be/ml/systems/[email protected] INFORMATIONnSupplementary data are available at Bioinformatics online.


Archive | 2015

MIPS: A graph mining library

Thomas Fannes; Ashraf M. Kibriya; Kurt De Grave; Jan Ramon


IMSC 2014: 20th International Mass Spectrometry Conference | 2014

Prediction of peptide fragment ion intensity: A priori partitioning reconsidered

Kurt De Grave; Alexander Van den Bulck; Sébastien Touzé; Thomas Fannes; Jan Ramon


Proceedings of the 25th Belgian-Dutch Machine Learning Conference (Benelearn) | 2016

Predicting HIV Resistance with the 3D Neighborhood Kernel

Leander Schietgat; Ward Lanssens; Thomas Fannes; Jan Ramon


Proceedings of the 27th Benelux Conference on Artificial Intelligence | 2015

Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel (Extended Abstract) 1

Leander Schietgat; Thomas Fannes; Jan Ramon


Archive | 2015

Eve: Integration of machine learning with compound testing in a robot scientist

Kevin Williams; Elizabeth Bilsland; Andrew Sparkes; Wayne Aubrey; Michael Young; Larisa Soldatova; Kurt De Grave; Jan Ramon; Michaela de Clare; Worachart Sirawaraporn; Katherine Roper; Stephen G. Oliver; Ross King


Archive | 2015

OPTIMAL DESIGN OF SRM ASSAYS USING MODULAR EMPIRICAL MODELS

Jérôme Renaux; Alexandros Sarafianos; Kurt De Grave; Jan Ramon


Archive | 2015

Robot scientist for drug discovery: An interactive demo

Kurt De Grave; Michiel Derhaeg; Wannes Meert; Jan Ramon


Archive | 2015

Kennismaking met robotwetenschapper Eve

Kurt De Grave; Jan Ramon


Archive | 2015

A logical Bayesian framework to dynamically compose a modular inductive model of a proteomics experiment

Kurt De Grave; Jérôme Renaux; Alex Sarafianos; Jan Ramon

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Kurt De Grave

Katholieke Universiteit Leuven

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Thomas Fannes

Katholieke Universiteit Leuven

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Leander Schietgat

Katholieke Universiteit Leuven

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Ashraf M. Kibriya

Katholieke Universiteit Leuven

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Walter Luyten

Katholieke Universiteit Leuven

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