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Novel candidate genes for environmental stresses response in Synechocystis sp. PCC 6803 revealed by machine learning algorithms

Abbas Karimi-Fard, Abbas Saidi, Masoud Tohidfar, S. Noushin Emami

2024Brazilian Journal of Microbiology10 citationsDOIOpen Access PDF

Topics & Concepts

SynechocystisGeneLasso (programming language)Feature selectionTranscriptomeComputational biologyAbiotic stressCandidate geneSupport vector machineBiologyGene regulatory networkRNA-SeqArtificial intelligenceMachine learningComputer scienceGene expressionGeneticsWorld Wide WebMutantMetabolomics and Mass Spectrometry StudiesAlgal biology and biofuel productionMicrobial Community Ecology and Physiology
Novel candidate genes for environmental stresses response in Synechocystis sp. PCC 6803 revealed by machine learning algorithms | Litcius