Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Aida Mrzic"'
Autor:
Youzhong Liu, Aida Mrzic, Pieter Meysman, Thomas De Vijlder, Edwin P Romijn, Dirk Valkenborg, Wout Bittremieux, Kris Laukens
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0226770 (2020)
Despite the increasing importance of non-targeted metabolomics to answer various life science questions, extracting biochemically relevant information from metabolomics spectral data is still an incompletely solved problem. Most computational tools t
Externí odkaz:
https://doaj.org/article/910f46af140d426c94eaecd6008330bb
Autor:
Aida Mrzic, Pieter Meysman, Wout Bittremieux, Pieter Moris, Boris Cule, Bart Goethals, Kris Laukens
Publikováno v:
BioData Mining, Vol 11, Iss 1, Pp 1-24 (2018)
Abstract Searching for interesting common subgraphs in graph data is a well-studied problem in data mining. Subgraph mining techniques focus on the discovery of patterns in graphs that exhibit a specific network structure that is deemed interesting w
Externí odkaz:
https://doaj.org/article/4e6e69549d7748c8ad2ae6aa4b0f8be9
Autor:
Kris Laukens, Dirk Valkenborg, Pieter Meysman, Aida Mrzic, Wout Bittremieux, Thomas De Vijlder, Edwin P. Romijn, Youzhong Liu
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 1, p e0226770 (2020)
PLoS ONE, Vol 15, Iss 1, p e0226770 (2020)
Despite the increasing importance of non-targeted metabolomics to answer various life science questions, extracting biochemically relevant information from metabolomics spectral data is still an incompletely solved problem. Most computational tools t
Publikováno v:
Rapid communications in mass spectrometry
Rationale Using mass spectrometry, the analysis of known metabolite structures has become feasible in a systematic high-throughput fashion. Nevertheless, the identification of previously unknown structures remains challenging, partially because many
Autor:
Kris Laukens, Bart Goethals, Wout Bittremieux, Boris Cule, Aida Mrzic, Pieter Meysman, Pieter Moris
Publikováno v:
BioData Mining, Vol 11, Iss 1, Pp 1-24 (2018)
BioData Mining
BioData Mining
Searching for interesting common subgraphs in graph data is a well-studied problem in data mining. Subgraph mining techniques focus on the discovery of patterns in graphs that exhibit a specific network structure that is deemed interesting within the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::648cc1fe27d0b710d4b535eb3a9e7902
https://zenodo.org/record/3551511
https://zenodo.org/record/3551511
Autor:
Pieter Meysman, Kris Laukens, Stefan Naulaerts, Dries Van Rompaey, Wim Vanden Berghe, Hans De Winter, Aida Mrzic
In recent years, the pharmaceutical industry has been confronted with rising R&D costs paired with decreasing productivity. Attrition rates for new molecules are tremendous, with a substantial number of molecules failing in an advanced stage of devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::337a5ce4f8cab565fea78f5fd4435be6
https://doi.org/10.7287/peerj.preprints.27002v1
https://doi.org/10.7287/peerj.preprints.27002v1
Autor:
Kris Laukens, Charlie Beirnaert, Benson Ogunjimi, Pieter Moris, Nicolas De Neuter, Wout Bittremieux, Bart Cuypers, Pieter Meysman, Arvid Suls, Aida Mrzic, Viggo F I Van Tendeloo
Publikováno v:
Immunogenetics
Current T-cell epitope prediction tools are a valuable resource in designing targeted immunogenicity experiments. They typically focus on, and are able to, accurately predict peptide binding and presentation by major histocompatibility complex (MHC)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aa76aaa5f3934800b7eb2c9e6c00311
https://doi.org/10.1101/118539
https://doi.org/10.1101/118539
Autor:
Kris Laukens, Evelyne Maes, Filip Lemière, Trung Nghia Vu, Bart Goethals, Aida Mrzic, Dirk Valkenborg
Publikováno v:
Proteome science
Proteome Science
Proteome Science
Background Mass spectrometry-based proteomics experiments generate spectra that are rich in information. Often only a fraction of this information is used for peptide/protein identification, whereas a significant proportion of the peaks in a spectrum
Publikováno v:
ASCC
This paper deals with measuring and reduction of odometry errors of a differential-drive mobile robot. For this purpose an algorithm for reducing systematic odometry errors caused by uncertainty of an effective wheelbase and unequal wheel diameters i