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timeOmics

Bioc current

Time-Course Multi-Omics data integration

v1.24.0 · software · GPL-3
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Release Lineage

Entered 3.11 · Apr 28, 2020

Current · Requires R 4.6

1.0 In 13 of 49 releases 3.23

Description

timeOmics is a generic data-driven framework to integrate multi-Omics longitudinal data measured on the same biological samples and select key temporal features with strong associations within the same sample group. The main steps of timeOmics are: 1. Plaform and time-specific normalization and filtering steps; 2. Modelling each biological into one time expression profile; 3. Clustering features with the same expression profile over time; 4. Post-hoc validation step.

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Topics

Software › StatisticalMethod › Clustering
Software › StatisticalMethod › FeatureExtraction
Software › StatisticalMethod › TimeCourse
Software › StatisticalMethod › DimensionReduction
Software
Software › Technology › Sequencing
Software › Technology › Microarray
Software › ResearchField › Metabolomics
Software › ResearchField › Metagenomics
Software › ResearchField › Proteomics
Software › StatisticalMethod › Classification
Software › StatisticalMethod › Regression
Software › ResearchField › Immunology › ImmunoOncology
Software › BiologicalQuestion › GenePrediction
Software › WorkflowStep › MultipleComparison

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Bioconductor (1)

netOmics

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