Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893188630> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2893188630 abstract "Abstract Since the turn of the century, researchers have sought to diagnose cancer based on gene expression signatures measured from the blood or biopsy as biomarkers. This task, known as classification, is typically solved using a suite of algorithms that learn a mathematical rule capable of discriminating one group (e.g., cases) from another (e.g., controls). However, discriminatory methods can only identify cancerous samples that resemble those that the algorithm already saw during training. As such, we argue that discriminatory methods are fundamentally ill-suited for the classification of cancer: because the possibility space of cancer is definitively large, the existence of a one-of-a-kind gene expression signature becomes very likely. Instead, we propose using an established surveillance method that detects anomalous samples based on their deviation from a learned normal steady-state structure. By transferring this method to transcriptomic data, we can create an anomaly detector for tissue transcriptomes, a “tissue detector”, that is capable of identifying cancer without ever seeing a single cancer example. Using models trained on normal GTEx samples, we show that our “tissue detector” can accurately classify TCGA samples as normal or cancerous and that its performance is further improved by including more normal samples in the training set. We conclude this report by emphasizing the conceptual advantages of anomaly detection and by highlighting future directions for this field of study." @default.
- W2893188630 created "2018-10-05" @default.
- W2893188630 creator A5045540854 @default.
- W2893188630 creator A5051630302 @default.
- W2893188630 creator A5059415316 @default.
- W2893188630 creator A5069132052 @default.
- W2893188630 date "2018-09-26" @default.
- W2893188630 modified "2023-09-26" @default.
- W2893188630 title "Cancer as a tissue anomaly: classifying tumor transcriptomes based only on healthy data" @default.
- W2893188630 cites W1966327575 @default.
- W2893188630 cites W1998712640 @default.
- W2893188630 cites W2018838463 @default.
- W2893188630 cites W2019575515 @default.
- W2893188630 cites W2055027171 @default.
- W2893188630 cites W2074414424 @default.
- W2893188630 cites W2087684630 @default.
- W2893188630 cites W2109363337 @default.
- W2893188630 cites W2110117189 @default.
- W2893188630 cites W2111547563 @default.
- W2893188630 cites W2112657736 @default.
- W2893188630 cites W2148740464 @default.
- W2893188630 cites W2158485828 @default.
- W2893188630 cites W2169353806 @default.
- W2893188630 cites W2801400022 @default.
- W2893188630 cites W2949960840 @default.
- W2893188630 cites W4231106771 @default.
- W2893188630 doi "https://doi.org/10.1101/426395" @default.
- W2893188630 hasPublicationYear "2018" @default.
- W2893188630 type Work @default.
- W2893188630 sameAs 2893188630 @default.
- W2893188630 citedByCount "2" @default.
- W2893188630 countsByYear W28931886302018 @default.
- W2893188630 countsByYear W28931886302019 @default.
- W2893188630 crossrefType "posted-content" @default.
- W2893188630 hasAuthorship W2893188630A5045540854 @default.
- W2893188630 hasAuthorship W2893188630A5051630302 @default.
- W2893188630 hasAuthorship W2893188630A5059415316 @default.
- W2893188630 hasAuthorship W2893188630A5069132052 @default.
- W2893188630 hasBestOaLocation W28931886301 @default.
- W2893188630 hasConcept C104317684 @default.
- W2893188630 hasConcept C121332964 @default.
- W2893188630 hasConcept C121608353 @default.
- W2893188630 hasConcept C12997251 @default.
- W2893188630 hasConcept C150194340 @default.
- W2893188630 hasConcept C153180895 @default.
- W2893188630 hasConcept C154945302 @default.
- W2893188630 hasConcept C162317418 @default.
- W2893188630 hasConcept C177264268 @default.
- W2893188630 hasConcept C199360897 @default.
- W2893188630 hasConcept C26873012 @default.
- W2893188630 hasConcept C41008148 @default.
- W2893188630 hasConcept C51632099 @default.
- W2893188630 hasConcept C54355233 @default.
- W2893188630 hasConcept C58489278 @default.
- W2893188630 hasConcept C70721500 @default.
- W2893188630 hasConcept C739882 @default.
- W2893188630 hasConcept C76155785 @default.
- W2893188630 hasConcept C86803240 @default.
- W2893188630 hasConcept C94915269 @default.
- W2893188630 hasConceptScore W2893188630C104317684 @default.
- W2893188630 hasConceptScore W2893188630C121332964 @default.
- W2893188630 hasConceptScore W2893188630C121608353 @default.
- W2893188630 hasConceptScore W2893188630C12997251 @default.
- W2893188630 hasConceptScore W2893188630C150194340 @default.
- W2893188630 hasConceptScore W2893188630C153180895 @default.
- W2893188630 hasConceptScore W2893188630C154945302 @default.
- W2893188630 hasConceptScore W2893188630C162317418 @default.
- W2893188630 hasConceptScore W2893188630C177264268 @default.
- W2893188630 hasConceptScore W2893188630C199360897 @default.
- W2893188630 hasConceptScore W2893188630C26873012 @default.
- W2893188630 hasConceptScore W2893188630C41008148 @default.
- W2893188630 hasConceptScore W2893188630C51632099 @default.
- W2893188630 hasConceptScore W2893188630C54355233 @default.
- W2893188630 hasConceptScore W2893188630C58489278 @default.
- W2893188630 hasConceptScore W2893188630C70721500 @default.
- W2893188630 hasConceptScore W2893188630C739882 @default.
- W2893188630 hasConceptScore W2893188630C76155785 @default.
- W2893188630 hasConceptScore W2893188630C86803240 @default.
- W2893188630 hasConceptScore W2893188630C94915269 @default.
- W2893188630 hasLocation W28931886301 @default.
- W2893188630 hasLocation W28931886302 @default.
- W2893188630 hasOpenAccess W2893188630 @default.
- W2893188630 hasPrimaryLocation W28931886301 @default.
- W2893188630 hasRelatedWork W1485259957 @default.
- W2893188630 hasRelatedWork W2042251007 @default.
- W2893188630 hasRelatedWork W2076520961 @default.
- W2893188630 hasRelatedWork W2900952222 @default.
- W2893188630 hasRelatedWork W2904509905 @default.
- W2893188630 hasRelatedWork W2971489638 @default.
- W2893188630 hasRelatedWork W3091535876 @default.
- W2893188630 hasRelatedWork W3120702710 @default.
- W2893188630 hasRelatedWork W4287658408 @default.
- W2893188630 hasRelatedWork W4288046518 @default.
- W2893188630 isParatext "false" @default.
- W2893188630 isRetracted "false" @default.
- W2893188630 magId "2893188630" @default.
- W2893188630 workType "article" @default.