Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Cheng Soon Ong"'
Autor:
Marek Cmero, Ke Yuan, Cheng Soon Ong, Jan Schröder, PCAWG Evolution and Heterogeneity Working Group, Niall M. Corcoran, Tony Papenfuss, Christopher M. Hovens, Florian Markowetz, Geoff Macintyre, PCAWG Consortium
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.
Externí odkaz:
https://doaj.org/article/d5ec449112ae44a0b2a02b5a8b922643
Autor:
Marek Cmero, Ke Yuan, Cheng Soon Ong, Jan Schröder, PCAWG Evolution and Heterogeneity Working Group, Niall M. Corcoran, Tony Papenfuss, Christopher M. Hovens, Florian Markowetz, Geoff Macintyre, PCAWG Consortium
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/34c7a655757d403eb57ca99726706619
Publikováno v:
PeerJ Computer Science, Vol 4, p e157 (2018)
We study the problem of combining active learning suggestions to identify informative training examples by empirically comparing methods on benchmark datasets. Many active learning heuristics for classification problems have been proposed to help us
Externí odkaz:
https://doaj.org/article/4de1eda338bb468e9d69380cefd11089
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 9, p e1005727 (2017)
Modern genomics techniques generate overwhelming quantities of data. Extracting population genetic variation demands computationally efficient methods to determine genetic relatedness between individuals (or "samples") in an unbiased manner, preferab
Externí odkaz:
https://doaj.org/article/e3a9b3f8722c4fb0b1d292bf45c4d525
Publikováno v:
PeerJ, Vol 2, p e639 (2014)
We present a method to assist in interpretation of the functional impact of intergenic disease-associated SNPs that is not limited to search strategies proximal to the SNP. The method builds on two sources of external knowledge: the growing understan
Externí odkaz:
https://doaj.org/article/b207932bb1a34669bdb12eb5c905cda7
Publikováno v:
PLoS ONE, Vol 9, Iss 4, p e93319 (2014)
Given the difficulty and effort required to confirm candidate causal SNPs detected in genome-wide association studies (GWAS), there is no practical way to definitively filter false positives. Recent advances in algorithmics and statistics have enable
Externí odkaz:
https://doaj.org/article/ca1947e331b1439e8922e2f66ffdfa25
Autor:
Kay H Brodersen, Thomas M Schofield, Alexander P Leff, Cheng Soon Ong, Ekaterina I Lomakina, Joachim M Buhmann, Klaas E Stephan
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 6, p e1002079 (2011)
Decoding models, such as those underlying multivariate classification algorithms, have been increasingly used to infer cognitive or clinical brain states from measures of brain activity obtained by functional magnetic resonance imaging (fMRI). The pr
Externí odkaz:
https://doaj.org/article/1dd392b3a0374ad3b308848f36fe3ff9
Publikováno v:
PLoS Computational Biology, Vol 4, Iss 10, p e1000173 (2008)
Externí odkaz:
https://doaj.org/article/0eb95ead3f7e4d83bc0841d5bf0ff95f
Autor:
Peter J Schüffler, Thomas J Fuchs, Cheng Soon Ong, Peter J Wild, Niels J Rupp, Joachim M Buhmann
Publikováno v:
Journal of Pathology Informatics, Vol 4, Iss 2, Pp 2-2 (2013)
Background: Histological tissue analysis often involves manual cell counting and staining estimation of cancerous cells. These assessments are extremely time consuming, highly subjective and prone to error, since immunohistochemically stained cancer
Externí odkaz:
https://doaj.org/article/b1869bfe173a406f99b85f94e00ce3fc
Publikováno v:
ACS synthetic biology. 11(7)
Optimisation of gene expression levels is an essential part of the organism design process. Fine control of this process can be achieved through engineering transcription and translation control elements, including the ribosome binding site (RBS). Un