Computational Modeling Core
Computational Modeling Core
批准号:
10551707
负责人:
Aaron Samuel Meyer
金额:
$22.77万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-10 至 2028-05-31
关键词:
3-DimensionalAgeAntibioticsBiological ModelsCandida albicansClinicalCohort StudiesCollaborationsCommunitiesComputational algorithmComputer ModelsCoupledDataData SetDevelopmentDimensionsEffectivenessEpigenetic ProcessExperimental ModelsGene ExpressionGenesGeneticGenetic TranscriptionHealthcareHumanImmune EvasionImmune responseImmunologicsIn VitroIndividualInfectionLeadLifeLongitudinal StudiesMachine LearningMeasurementMethodologyMethodsMethylationModelingMolecularMolecular ProfilingMultiomic DataMusNatural ImmunityNatureNoiseOrganismOutcomePatternPharmaceutical PreparationsPhenotypePhysiological ProcessesPrincipal Component AnalysisPropertyProteomicsResearch PersonnelSamplingSepsisSeriesStaphylococcus aureusSystemSystems AnalysisTechniquesTechnologyTestingTimeTrainingTreatment outcomeVariantVisualizationWorkcohortcytokinedata integrationdata modelingdata reductiondynamic systemeffective therapyepigenomicsimprovedindividual patientmethicillin resistant Staphylococcus aureusmortalitymouse modelnoveloutcome predictionpathogenpermissivenesspredictive modelingprimary outcomeresponsesextooltranscriptome sequencingtranscriptomics
中文摘要
点击翻译按钮获取中文摘要
英文摘要
SUMMARY/ABSTRACT
The Computational & Predictive Modeling Core (CPM) will provide state-of-the-art machine learning and
data integration methodologies to enable the analysis, interpretation, and predictive modeling of the data
created within the other Cores and Projects. To accomplish this, the Core will: (i) develop novel computational
modeling frameworks towards predictive modeling of physiological processes with a multi-scale understanding
of outcomes, (ii) adapt and combine existing analysis techniques for use in the proposed studies, and (iii) work
closely with the other investigators to apply and then interpret the analysis results derived during the proposed
studies. A particular focus of the Core’s new methodologic development and modeling applications will be
multi-omic data integration across three dimensions: between molecular profiling technologies, across cohort
studies, and between experimental models and human infection. These activities will occur in close
collaboration with each Project, as evidenced by the Core’s involvement in nearly every Aim of the proposal.
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会议论文
Mapping the effector response space of antibody combinations
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依托单位:
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