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Estimating Gene Expression From Dna Methylation And Copy Number Variation: A Deep Learning Regression Model For Multi-Omics Integration, Dibyendu Bikash Seal, Vivek Das, Saptarsi Goswami, Rajat K. De
Estimating Gene Expression From Dna Methylation And Copy Number Variation: A Deep Learning Regression Model For Multi-Omics Integration, Dibyendu Bikash Seal, Vivek Das, Saptarsi Goswami, Rajat K. De
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Gene expression analysis plays a significant role for providing molecular insights in cancer. Various genetic and epigenetic factors (being dealt under multi-omics) affect gene expression giving rise to cancer phenotypes. A recent growth in understanding of multi-omics seems to provide a resource for integration in interdisciplinary biology since they altogether can draw the comprehensive picture of an organism's developmental and disease biology in cancers. Such large scale multi-omics data can be obtained from public consortium like The Cancer Genome Atlas (TCGA) and several other platforms. Integrating these multi-omics data from varied platforms is still challenging due to high noise and …