2022
Attention-Based Interpretable Regression of Gene Expression in Histology
Graziani M, Marini N, Deutschmann N, Janakarajan N, Müller H, Martínez M. Attention-Based Interpretable Regression of Gene Expression in Histology. Lecture Notes In Computer Science 2022, 13611: 44-60. DOI: 10.1007/978-3-031-17976-1_5.Peer-Reviewed Original ResearchCancer molecular subtypesGene expressionPredicting RNA structureMolecular subtypesTreatment responsePatient stratificationColorectal cancerGene expression profilesCancer tissuesRNA structurePathology UnitMicroscopic appearancePatient recommendationsHistologyCancerGenesExpression profilesExpression values
2019
Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders
Manica M, Oskooei A, Born J, Subramanian V, Sáez-Rodríguez J, Martínez M. Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders. Molecular Pharmaceutics 2019, 16: 4797-4806. PMID: 31618586, DOI: 10.1021/acs.molpharmaceut.9b00520.Peer-Reviewed Original ResearchConceptsConvolutional encoderReceptor tyrosine kinasesProtein-protein interaction networkAttention-based encoderStructural similarity indexSelection of encodingDrug designDrug sensitivity predictionGene expression profilesIn silico predictionSensitivity predictionAttention weightsLeukemia cell linesSMILES sequencesInformative genesGene expression profiles of tumorsApoptotic processInteraction networkExpression profiles of tumorsBaseline modelIntracellular interactionsEncodingTyrosine kinaseDevelopment of personalized therapiesGenes