Zobrazeno 1 - 10
of 247
pro vyhledávání: '"Computational Biology / methods"'
Autor:
David Mertz
Think about your data intelligently and ask the right questionsKey FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from
Autor:
Jonathan Pevsner
The bestselling introduction to bioinformatics and genomics – now in its third edition Widely received in its previous editions, Bioinformatics and Functional Genomics offers the most broad-based introduction to this explosive new discipline. Now i
Autor:
Chung-sheng Li, Stephen Tin Chi Wong
This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.The cuttin
Publikováno v:
Nature Protocols. 17(7):1711-1734
Normative modeling is an emerging and innovative framework for mapping individual differences at the level of a single subject or observation in relation to a reference model. It involves charting centiles of variation across a population in terms of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___01181::4cbd0ae6ff4e45ad78e1f5131dd74659
https://research.tilburguniversity.edu/en/publications/7367af86-691a-4dad-886c-61a6294a8ca9
https://research.tilburguniversity.edu/en/publications/7367af86-691a-4dad-886c-61a6294a8ca9
Publikováno v:
Frontiers in Microbiology, Vol 9 (2018)
Longitudinal, prospective studies often rely on multi-omics approaches, wherein various specimens are analyzed for genomic, metabolomic, and/or transcriptomic profiles. In practice, longitudinal studies in humans and other animals routinely suffer fr
Externí odkaz:
https://doaj.org/article/4a54e1633be64c6b963449eea2195f01
Autor:
Benjamin Livesey, Joseph Marsh
Publikováno v:
Livesey, B J & Marsh, J A 2022, ' Interpreting protein variant effects with computational predictors and deep mutational scanning ', Disease Models and Mechanisms, vol. 15, no. 6 . https://doi.org/10.1242/dmm.049510
Computational predictors of genetic variant effect have advanced rapidly in recent years. These programs provide clinical and research laboratories with a rapid and scalable method to assess the likely impacts of novel variants. However, it can be di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4309cf9567d039ad597957ec117f59ae
https://pubmed.ncbi.nlm.nih.gov/35736673
https://pubmed.ncbi.nlm.nih.gov/35736673
Publikováno v:
Glendinning, N, Hawthorne, C, Beck, S & Lopez-Campos, G 2022, Exploring Molecular Mechanisms Within Biomedical Literature . in P Otero, P Scott, S Z Martin & E Huesing (eds), MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation . vol. 290, Studies in health technology and informatics, pp. 1094-1095 . https://doi.org/10.3233/SHTI220284
Text mining of the biomedical literature enables vast quantities of information to be extracted and summarised. Here we describe an updated and improved version of previous methodology for the analysis of gene and protein biomarkers that enables the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d07704a6d35c40406a65904c8e65709
https://doi.org/10.3233/shti220284
https://doi.org/10.3233/shti220284
Publikováno v:
PLoS computational biology, vol. 18, no. 5, pp. e1010075
BackgroundCharacterising gene function for the ever-increasing number and diversity of species with annotated genomes relies almost entirely on computational prediction methods. These software are also numerous and diverse, each with different streng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856476f17f6afe850f52d8ca352061fb
https://serval.unil.ch/notice/serval:BIB_4EB542E53FA1
https://serval.unil.ch/notice/serval:BIB_4EB542E53FA1