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Data · dataset · 2024

Data for Synthetic lethal connectivity and graph transformer improve synthetic lethality prediction

Listed in Teesside University Research Data Repository

Here stores the data we used to train and evaluate our MLEC-iSL model for individual sample-specific synthetic lethality prediction.

Description

There are two types of features used in our model: omics features and biological networks. For omics features, there are two CCLE profiles (expression and essentiality) and four cell-specific features (expression, essentiality, mutation and copy number) considered in our model.

As for network features, we incorporate physical protein-protein interaction (PPI) network, genetic interaction network and pathway network.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/7shf34snd3.215 h agoJSON v1
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concepts[field].anzsrc:group:3102mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Computational Biology']
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