FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2561332272> ?p ?o ?g. }

• W2561332272 abstract "Abstract Despite its popularity, characterization of subpopulations with transcript abundance is subject to a significant amount of noise. We propose to use effective and expressed nucleotide variations (eeSNVs) from scRNA-seq as alternative features for tumor subpopulation identification. We developed a linear modeling framework, SSrGE, to link eeSNVs associated with gene expression. In all the datasets tested, eeSNVs achieve better accuracies than gene expression for identifying subpopulations. Previously validated cancer-relevant genes are also highly ranked, confirming the significance of the method. Moreover, SSrGE is capable of analyzing coupled DNA-seq and RNA-seq data from the same single cells, demonstrating its value in integrating multi-omics single cell techniques. In summary, SNV features from scRNA-seq data have merits for both subpopulation identification and linkage of genotype-phenotype relationship. The method SSrGE is available at https://github.com/lanagarmire/SSrGE ." @default.
• W2561332272 created "2017-01-06" @default.
• W2561332272 creator A5005523854 @default.
• W2561332272 creator A5012408661 @default.
• W2561332272 creator A5051171182 @default.
• W2561332272 creator A5059097690 @default.
• W2561332272 date "2016-12-21" @default.
• W2561332272 modified "2023-09-30" @default.
• W2561332272 title "Using Single Nucleotide Variations in Single-Cell RNA-Seq to Identify Subpopulations and Genotype-phenotype Linkage" @default.
• W2561332272 cites W1536902151 @default.
• W2561332272 cites W1580018887 @default.
• W2561332272 cites W1599003087 @default.
• W2561332272 cites W1701091641 @default.
• W2561332272 cites W1883773314 @default.
• W2561332272 cites W1919257374 @default.
• W2561332272 cites W1952554789 @default.
• W2561332272 cites W1965092590 @default.
• W2561332272 cites W1967489571 @default.
• W2561332272 cites W1980076480 @default.
• W2561332272 cites W1984883254 @default.
• W2561332272 cites W1988391018 @default.
• W2561332272 cites W1993023683 @default.
• W2561332272 cites W2005501593 @default.
• W2561332272 cites W2010653277 @default.
• W2561332272 cites W2011637823 @default.
• W2561332272 cites W2021828984 @default.
• W2561332272 cites W2025828346 @default.
• W2561332272 cites W2030017878 @default.
• W2561332272 cites W2032518018 @default.
• W2561332272 cites W2041993682 @default.
• W2561332272 cites W2068351971 @default.
• W2561332272 cites W2090461073 @default.
• W2561332272 cites W2098970540 @default.
• W2561332272 cites W2102619694 @default.
• W2561332272 cites W2104111114 @default.
• W2561332272 cites W2104549677 @default.
• W2561332272 cites W2110256992 @default.
• W2561332272 cites W2118258530 @default.
• W2561332272 cites W2122732537 @default.
• W2561332272 cites W2125910575 @default.
• W2561332272 cites W2126547130 @default.
• W2561332272 cites W2130352985 @default.
• W2561332272 cites W2131374955 @default.
• W2561332272 cites W2135046866 @default.
• W2561332272 cites W2136170412 @default.
• W2561332272 cites W2138207763 @default.
• W2561332272 cites W2149729293 @default.
• W2561332272 cites W2152381343 @default.
• W2561332272 cites W2154598603 @default.
• W2561332272 cites W2158217645 @default.
• W2561332272 cites W2159675211 @default.
• W2561332272 cites W2167291962 @default.
• W2561332272 cites W2171148163 @default.
• W2561332272 cites W2194503871 @default.
• W2561332272 cites W2202446163 @default.
• W2561332272 cites W2214699570 @default.
• W2561332272 cites W2233603983 @default.
• W2561332272 cites W2261784951 @default.
• W2561332272 cites W2286667211 @default.
• W2561332272 cites W2332292689 @default.
• W2561332272 cites W2338882301 @default.
• W2561332272 cites W2342423616 @default.
• W2561332272 cites W2377729701 @default.
• W2561332272 cites W2522775671 @default.
• W2561332272 cites W2610509384 @default.
• W2561332272 cites W2611495776 @default.
• W2561332272 cites W2775981375 @default.
• W2561332272 cites W2949359662 @default.
• W2561332272 cites W2952708922 @default.
• W2561332272 cites W839653734 @default.
• W2561332272 doi "https://doi.org/10.1101/095810" @default.
• W2561332272 hasPublicationYear "2016" @default.
• W2561332272 type Work @default.
• W2561332272 sameAs 2561332272 @default.
• W2561332272 citedByCount "4" @default.
• W2561332272 countsByYear W25613322722017 @default.
• W2561332272 countsByYear W25613322722018 @default.
• W2561332272 countsByYear W25613322722019 @default.
• W2561332272 crossrefType "posted-content" @default.
• W2561332272 hasAuthorship W2561332272A5005523854 @default.
• W2561332272 hasAuthorship W2561332272A5012408661 @default.
• W2561332272 hasAuthorship W2561332272A5051171182 @default.
• W2561332272 hasAuthorship W2561332272A5059097690 @default.
• W2561332272 hasBestOaLocation W25613322721 @default.
• W2561332272 hasConcept C104317684 @default.
• W2561332272 hasConcept C107397762 @default.
• W2561332272 hasConcept C116834253 @default.
• W2561332272 hasConcept C127716648 @default.
• W2561332272 hasConcept C135763542 @default.
• W2561332272 hasConcept C150194340 @default.
• W2561332272 hasConcept C162317418 @default.
• W2561332272 hasConcept C31266012 @default.
• W2561332272 hasConcept C54355233 @default.
• W2561332272 hasConcept C59822182 @default.
• W2561332272 hasConcept C70721500 @default.
• W2561332272 hasConcept C86803240 @default.
• W2561332272 hasConceptScore W2561332272C104317684 @default.
• W2561332272 hasConceptScore W2561332272C107397762 @default.
• W2561332272 hasConceptScore W2561332272C116834253 @default.
• W2561332272 hasConceptScore W2561332272C127716648 @default.

• next