FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2032918658> ?p ?o ?g. }

• W2032918658 endingPage "423" @default.
• W2032918658 startingPage "417" @default.
• W2032918658 abstract "Many medical and biological genetics and functional genomics studies include genome-wide analysis. Due to the coordination of cellular functions, the behavior of groups of genes rather than of a single gene can be more informative in these studies. Experimental and technical developments now allow genome-wide measurement of many molecular components of the cell, including mRNA transcripts (1), DNA sequence (2–5) and structure (6–10), DNA binding by transcriptional regulators (11), microRNAs, proteins, and metabolites (12). For each type of data, analysis software has been developed, much of it available within the R/Bioconductor framework (13).A major issue remains for data mining or statistical inference on high-throughput data due to the “curse of dimensionality” arising from the tens of thousands of molecular components generally being measured in only tens or hundreds of conditions. A logical approach to this problem is the use of Bayesian statistics (14), where prior information developed from many years of targeted biological studies can be used to reduce the search space during model fitting.For many analyses, there are several steps required for data processing, from image acquisition and processing through normalization to data mining or statistical inference. Often, it is necessary to create a pipeline for the analysis. The ideal pipeline would allow the integration of both prior knowledge and potentially the use of measurements in one molecular domain to guide inference in another. For instance, genes known a priori to function in parallel redundant pathways may be more likely to show genetic interactions in a genome-wide association study (GWAS). Alternatively genes that share transcription factor binding determined by ChIP-seq measurements may be more likely to show correlated expression. The Bayesian framework is quite natural for data exchange in this case, especially for programs that handle different forms of gene-related information and different representations of the data.XML (eXtendible Markup Language) was invented in the late 1990’s (15) as a way to represent documents in a machine-readable hypertext form. The represented information is organized as a tree, and a pre-given description of the tree allows verifying the data. The tree nodes are XML elements. Elements can contain each other. If a node A is a child of node B, the element corresponding to B contains that corresponding to A. Each of the elements belongs to a type, and the list of the types and their possible relations is the essence of the description (XML schema) mentioned above. Each schema corresponds to a definite data type, e.g. a book, an image, a worksheet, etc. Over the past decade, XML became the most common way of Internet data exchange.Current bioinformatics practice uses a large variety of XML-based languages that describe different data types (e.g., for a review see (15)). We mention a few of them that are most applicable to this domain. XEMBL (16) is an XML format for EMBL data. CisML (17) and SmallBisMark (18) are for sequence motif information such as transcription factor binding sites, while MAGE-ML (19, 20) is intended for microarray metadata representation. SBML (21) and CellML (22) capture biological network models, and MFAML (23) describes metabolic fluxes.In addition, there are XML formats (24, 25) that represent Bayesian information in a very general form. However, we require a format for Bayesian information that is suited to biological systems, but which is not too specialized, unlike the biological XMLs noted above. Our goal is an XML to encode relationships as probabilities of interactions for the purposes of genetics and bioinformatics, with the interpretation of the message in the XML depending on the context of the parser. This will permit the interchange of probabilistic information between bioinformatics frameworks that refer to different aspects of genomics knowledge." @default.
• W2032918658 created "2016-06-24" @default.
• W2032918658 creator A5014591184 @default.
• W2032918658 creator A5029456122 @default.
• W2032918658 creator A5050977500 @default.
• W2032918658 creator A5073749984 @default.
• W2032918658 creator A5080546333 @default.
• W2032918658 date "2011-10-01" @default.
• W2032918658 modified "2023-10-16" @default.
• W2032918658 title "OnionTree XML: A Format to Exchange Gene-Related Probabilities" @default.
• W2032918658 cites W1486283310 @default.
• W2032918658 cites W1984709002 @default.
• W2032918658 cites W1992103955 @default.
• W2032918658 cites W1992286570 @default.
• W2032918658 cites W1995536620 @default.
• W2032918658 cites W2000054602 @default.
• W2032918658 cites W2008656488 @default.
• W2032918658 cites W2014401176 @default.
• W2032918658 cites W2021129827 @default.
• W2032918658 cites W2026570544 @default.
• W2032918658 cites W2039378897 @default.
• W2032918658 cites W2061680337 @default.
• W2032918658 cites W2063207851 @default.
• W2032918658 cites W2072572998 @default.
• W2032918658 cites W2075469152 @default.
• W2032918658 cites W2090184738 @default.
• W2032918658 cites W2097220641 @default.
• W2032918658 cites W2101700140 @default.
• W2032918658 cites W2101795508 @default.
• W2032918658 cites W2109372707 @default.
• W2032918658 cites W2112662291 @default.
• W2032918658 cites W2126188642 @default.
• W2032918658 cites W2140000393 @default.
• W2032918658 cites W2147156699 @default.
• W2032918658 cites W2149532639 @default.
• W2032918658 cites W2150908245 @default.
• W2032918658 cites W2155270700 @default.
• W2032918658 cites W2160697532 @default.
• W2032918658 cites W2169431112 @default.
• W2032918658 cites W2170122529 @default.
• W2032918658 doi "https://doi.org/10.1080/073911011010524994" @default.
• W2032918658 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4856015" @default.
• W2032918658 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21875159" @default.
• W2032918658 hasPublicationYear "2011" @default.
• W2032918658 type Work @default.
• W2032918658 sameAs 2032918658 @default.
• W2032918658 citedByCount "0" @default.
• W2032918658 crossrefType "journal-article" @default.
• W2032918658 hasAuthorship W2032918658A5014591184 @default.
• W2032918658 hasAuthorship W2032918658A5029456122 @default.
• W2032918658 hasAuthorship W2032918658A5050977500 @default.
• W2032918658 hasAuthorship W2032918658A5073749984 @default.
• W2032918658 hasAuthorship W2032918658A5080546333 @default.
• W2032918658 hasBestOaLocation W20329186581 @default.
• W2032918658 hasConcept C104317684 @default.
• W2032918658 hasConcept C136764020 @default.
• W2032918658 hasConcept C199360897 @default.
• W2032918658 hasConcept C23123220 @default.
• W2032918658 hasConcept C41008148 @default.
• W2032918658 hasConcept C54355233 @default.
• W2032918658 hasConcept C70721500 @default.
• W2032918658 hasConcept C86803240 @default.
• W2032918658 hasConcept C8797682 @default.
• W2032918658 hasConceptScore W2032918658C104317684 @default.
• W2032918658 hasConceptScore W2032918658C136764020 @default.
• W2032918658 hasConceptScore W2032918658C199360897 @default.
• W2032918658 hasConceptScore W2032918658C23123220 @default.
• W2032918658 hasConceptScore W2032918658C41008148 @default.
• W2032918658 hasConceptScore W2032918658C54355233 @default.
• W2032918658 hasConceptScore W2032918658C70721500 @default.
• W2032918658 hasConceptScore W2032918658C86803240 @default.
• W2032918658 hasConceptScore W2032918658C8797682 @default.
• W2032918658 hasIssue "2" @default.
• W2032918658 hasLocation W20329186581 @default.
• W2032918658 hasLocation W20329186582 @default.
• W2032918658 hasLocation W20329186583 @default.
• W2032918658 hasLocation W20329186584 @default.
• W2032918658 hasOpenAccess W2032918658 @default.
• W2032918658 hasPrimaryLocation W20329186581 @default.
• W2032918658 hasRelatedWork W1503760549 @default.
• W2032918658 hasRelatedWork W1775720859 @default.
• W2032918658 hasRelatedWork W1788528807 @default.
• W2032918658 hasRelatedWork W188567224 @default.
• W2032918658 hasRelatedWork W2101966962 @default.
• W2032918658 hasRelatedWork W2153015554 @default.
• W2032918658 hasRelatedWork W2164837174 @default.
• W2032918658 hasRelatedWork W2358816484 @default.
• W2032918658 hasRelatedWork W2361533086 @default.
• W2032918658 hasRelatedWork W2786006522 @default.
• W2032918658 hasVolume "29" @default.
• W2032918658 isParatext "false" @default.
• W2032918658 isRetracted "false" @default.
• W2032918658 magId "2032918658" @default.
• W2032918658 workType "article" @default.