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Academic Publication Using clusterProfiler to characterize multiomics data
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Using clusterProfiler to characterize multiomics data
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ChIP-Atlas 3.0: a data-mining suite to explore chromosome architecture together with large-scale regulome data
Abstract ChIP-Atlas (https://chip-atlas.org/) presents a suite of data-mining tools for analyzing epigenomic landscapes, powered by the comprehensive integration of over 376 000 publ...
A review of model evaluation metrics for machine learning in genetics and genomics
Machine learning (ML) has shown great promise in genetics and genomics where large and complex datasets have the potential to provide insight into many aspects of disease risk, pathogenesis of gene...
MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation
Abstract We introduce MetaboAnalyst version 6.0 as a unified platform for processing, analyzing, and interpreting data from targeted as well as untargeted metabolomics studies using ...
APPLICATION OF MACHINE LEARNING FOR MASS CYTOMETRY DATA ANALYSIS OF CHRONIC LYMPHOCYTIC LEUKAEMIA
Mass cytometry is a powerful technique for quantifying intracellular and membrane proteins at single-cell resolution. However, the vast amount of data it generates requires advanced analytical meth...
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Associated Media Narrative
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