Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100292880> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W3100292880 abstract "Abstract Computational protein-protein interaction (PPI) prediction techniques can contribute greatly in reducing time, cost and false-positive interactions compared to experimental approaches. Sequence is one of the key and primary information of proteins that plays a crucial role in PPI prediction. Several machine learning approaches have been applied to exploit the characteristics of PPI datasets. However, these datasets greatly influence the performance of predicting models. So, care should be taken on both dataset curation as well as design of predictive models. Here, we summarize the results of the SeqPIP competition whose objective was to develop comprehensive PPI predictive models from sequence information with high-quality bias-free interaction datasets. A training set of 2000 positive and 2000 negative interactions with sequences was given to each contestant. The methods were evaluated with three independent high-quality interaction test datasets." @default.
- W3100292880 created "2020-11-23" @default.
- W3100292880 creator A5018474833 @default.
- W3100292880 creator A5043105133 @default.
- W3100292880 creator A5049120490 @default.
- W3100292880 creator A5055498019 @default.
- W3100292880 creator A5058815005 @default.
- W3100292880 creator A5061520294 @default.
- W3100292880 date "2020-11-13" @default.
- W3100292880 modified "2023-09-25" @default.
- W3100292880 title "SeqPIP-2020: Sequence based Protein Interaction Prediction Contest" @default.
- W3100292880 cites W1989949705 @default.
- W3100292880 cites W2008840001 @default.
- W3100292880 cites W2056335234 @default.
- W3100292880 cites W2079035862 @default.
- W3100292880 cites W2156125289 @default.
- W3100292880 cites W2161922860 @default.
- W3100292880 cites W2342374505 @default.
- W3100292880 cites W2472351724 @default.
- W3100292880 cites W2534390616 @default.
- W3100292880 cites W2795091386 @default.
- W3100292880 cites W2899788782 @default.
- W3100292880 doi "https://doi.org/10.1101/2020.11.12.380774" @default.
- W3100292880 hasPublicationYear "2020" @default.
- W3100292880 type Work @default.
- W3100292880 sameAs 3100292880 @default.
- W3100292880 citedByCount "0" @default.
- W3100292880 crossrefType "posted-content" @default.
- W3100292880 hasAuthorship W3100292880A5018474833 @default.
- W3100292880 hasAuthorship W3100292880A5043105133 @default.
- W3100292880 hasAuthorship W3100292880A5049120490 @default.
- W3100292880 hasAuthorship W3100292880A5055498019 @default.
- W3100292880 hasAuthorship W3100292880A5058815005 @default.
- W3100292880 hasAuthorship W3100292880A5061520294 @default.
- W3100292880 hasBestOaLocation W31002928801 @default.
- W3100292880 hasConcept C111472728 @default.
- W3100292880 hasConcept C119857082 @default.
- W3100292880 hasConcept C124101348 @default.
- W3100292880 hasConcept C138885662 @default.
- W3100292880 hasConcept C154945302 @default.
- W3100292880 hasConcept C165696696 @default.
- W3100292880 hasConcept C169903167 @default.
- W3100292880 hasConcept C177264268 @default.
- W3100292880 hasConcept C17744445 @default.
- W3100292880 hasConcept C199360897 @default.
- W3100292880 hasConcept C199539241 @default.
- W3100292880 hasConcept C26517878 @default.
- W3100292880 hasConcept C2777582232 @default.
- W3100292880 hasConcept C2778112365 @default.
- W3100292880 hasConcept C2779530757 @default.
- W3100292880 hasConcept C38652104 @default.
- W3100292880 hasConcept C41008148 @default.
- W3100292880 hasConcept C54355233 @default.
- W3100292880 hasConcept C86803240 @default.
- W3100292880 hasConceptScore W3100292880C111472728 @default.
- W3100292880 hasConceptScore W3100292880C119857082 @default.
- W3100292880 hasConceptScore W3100292880C124101348 @default.
- W3100292880 hasConceptScore W3100292880C138885662 @default.
- W3100292880 hasConceptScore W3100292880C154945302 @default.
- W3100292880 hasConceptScore W3100292880C165696696 @default.
- W3100292880 hasConceptScore W3100292880C169903167 @default.
- W3100292880 hasConceptScore W3100292880C177264268 @default.
- W3100292880 hasConceptScore W3100292880C17744445 @default.
- W3100292880 hasConceptScore W3100292880C199360897 @default.
- W3100292880 hasConceptScore W3100292880C199539241 @default.
- W3100292880 hasConceptScore W3100292880C26517878 @default.
- W3100292880 hasConceptScore W3100292880C2777582232 @default.
- W3100292880 hasConceptScore W3100292880C2778112365 @default.
- W3100292880 hasConceptScore W3100292880C2779530757 @default.
- W3100292880 hasConceptScore W3100292880C38652104 @default.
- W3100292880 hasConceptScore W3100292880C41008148 @default.
- W3100292880 hasConceptScore W3100292880C54355233 @default.
- W3100292880 hasConceptScore W3100292880C86803240 @default.
- W3100292880 hasLocation W31002928801 @default.
- W3100292880 hasOpenAccess W3100292880 @default.
- W3100292880 hasPrimaryLocation W31002928801 @default.
- W3100292880 hasRelatedWork W10528603 @default.
- W3100292880 hasRelatedWork W10719664 @default.
- W3100292880 hasRelatedWork W1539027 @default.
- W3100292880 hasRelatedWork W2804300 @default.
- W3100292880 hasRelatedWork W3706556 @default.
- W3100292880 hasRelatedWork W4272546 @default.
- W3100292880 hasRelatedWork W4714980 @default.
- W3100292880 hasRelatedWork W4771408 @default.
- W3100292880 hasRelatedWork W6869908 @default.
- W3100292880 hasRelatedWork W7046360 @default.
- W3100292880 isParatext "false" @default.
- W3100292880 isRetracted "false" @default.
- W3100292880 magId "3100292880" @default.
- W3100292880 workType "article" @default.