Integrating Multi-Omics Data for Comprehensive Disease Insights
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Machine Learning Models for Cancer Diagnosis: Current Trends
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Spatial Transcriptomics: A New Revolution Has Emerged
Spatial transcriptomics is revolutionizing the field of omics by allowing researchers to visualize gene expression patterns within their native spatial context. From its introduction in this article, spatial transcriptomics provided a deeper understanding of tissue architecture in various conditions. In the traditional transcriptomic approach, when we perform techniques such as bulk RNA-seq, we investigate the […]
Single Cell RNAseq: Uncovering Cellular Heterogeneity
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Comprehensive Guide to RNAseq Data Analysis
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The Future of Omics Sciences
An introduction to Omics Different branches of science, whose names end with “-omics”, provide the possibility of the comprehensive and holistic study of various layers of cellular information. Branches like genomics, transcriptomics, proteomics, and metabolomics allow studying an organism’s complete set of DNA, RNAs, proteins, and metabolites within a cell, respectively. By obtaining data related […]