Zobrazeno 1 - 10
of 1 187
pro vyhledávání: '"Wessel N"'
Publikováno v:
Journal of Statistical Software, Vol 102, Pp 1-32 (2022)
A graphical model is an undirected network representing the conditional independence properties between random variables. Graphical modeling has become part and parcel of systems or network approaches to multivariate data, in particular when the vari
Externí odkaz:
https://doaj.org/article/adc574de7b3d4be3971446dfb0891775
Cancer prognosis is often based on a set of omics covariates and a set of established clinical covariates such as age and tumor stage. Combining these two sets poses challenges. First, dimension difference: clinical covariates should be favored becau
Externí odkaz:
http://arxiv.org/abs/2411.02396
The high dimensional nature of genomics data complicates feature selection, in particular in low sample size studies - not uncommon in clinical prediction settings. It is widely recognized that complementary data on the features, `co-data', may impro
Externí odkaz:
http://arxiv.org/abs/2405.04917
Autor:
Costa Bachas, Jasmina Hodzic, Johannes C. van der Mijn, Chantal Stoepker, Henk M. W. Verheul, Rob M. F. Wolthuis, Emanuela Felley-Bosco, Wessel N. van Wieringen, Victor W. van Beusechem, Ruud H. Brakenhoff, Renée X. de Menezes
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-12 (2018)
Abstract Background Reproducibility of hits from independent CRISPR or siRNA screens is poor. This is partly due to data normalization primarily addressing technical variability within independent screens, and not the technical differences between th
Externí odkaz:
https://doaj.org/article/826f3204ee2b48118fd68b46cacf334f
Autor:
Claire Bridel, Anand J. C. Eijlers, Wessel N. van Wieringen, Marleen Koel-Simmelink, Cyra E. Leurs, Menno M. Schoonheim, Joep Killestein, Charlotte E. Teunissen
Publikováno v:
Frontiers in Molecular Neuroscience, Vol 11 (2018)
Background: The clinical course of relapsing-remitting multiple sclerosis (RRMS) is highly heterogeneous and prognostic biomarkers at time of diagnosis are lacking.Objective: We investigated the predictive value of the plasma proteome at time of diag
Externí odkaz:
https://doaj.org/article/f9afd273718445e8a1293f396dbb2edf
Autor:
Serge J. Smeets, Ruud H. Brakenhoff, Bauke Ylstrab, Wessel N. van Wieringen, Mark A. van de Wiel, C. René Leemans, Boudewijn J. M. Braakhuis
Publikováno v:
Cellular Oncology, Vol 31, Iss 4, Pp 291-300 (2009)
The common risk factors for oral and oropharyngeal cancer are tobacco smoking and alcohol consumption, and recently the human papillomavirus (HPV) was shown to be involved in a subgroup. HPV-positive and -negative carcinomas can be distinguished on b
Externí odkaz:
https://doaj.org/article/a9745111963a40afa62f299451200ff0
Publikováno v:
Cancer Informatics, Vol 3, Pp 321-327 (2007)
Array comparative genomic hybridization (aCGH) is a high-throughput lab technique to measure genome-wide chromosomal copy numbers. Data from aCGH experiments require extensive pre-processing, which consists of three steps: normalization, segmentation
Externí odkaz:
https://doaj.org/article/f6a6549aa6464614a58b50dbe6cb53fe
Publikováno v:
Cancer Informatics, Vol 3, Pp 55-63 (2007)
An algorithm to reduce multi-sample array CGH data from thousands of clones to tens or hundreds of clone regions is introduced. This reduction of the data is performed such that little information is lost, which is possible due to the high dependenci
Externí odkaz:
https://doaj.org/article/031bd715321e4caeb0b79b1a133fdf82
Publikováno v:
Cancer Informatics, Vol 3 (2007)
Array comparative genomic hybridization (aCGH) is a high-throughput lab technique to measure genome-wide chromosomal copy numbers. Data from aCGH experiments require extensive pre-processing, which consists of three steps: normalization, segmentation
Externí odkaz:
https://doaj.org/article/71d6d89361f044f089d6cbbe5f2d751b
Publikováno v:
Journal of Statistical Software, 102 (2022): 1-32
A graphical model is an undirected network representing the conditional independence properties between random variables. Graphical modeling has become part and parcel of systems or network approaches to multivariate data, in particular when the vari
Externí odkaz:
http://arxiv.org/abs/2010.05619