Cross-Modal Data Fusion and Pathway Activity Inference: Machine Learning Approaches to Integrated Multi-Omics Data Analysis for Biological Discovery
Keywords:
cross-modal data fusion, pathway activity inference, machine learning approaches to integrated multi-omics data analysis, biological discoveryAbstract
Cellular phenotypes emerge as a result of complex interactions between a wide variety of molecules. To understand the performance of these biological systems may require a comprehensive knowledge of genetic, transcriptomic, epigenetic, proteomic, and many other mechanisms involved in cell regulation and function.Downloads
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