Certificate Single-Cell RNA Sequencing Data Analysis
-- ViewingNowThe Certificate Single-Cell RNA Sequencing Data Analysis course is a comprehensive program designed to equip learners with the essential skills for analyzing and interpreting single-cell RNA sequencing data. This course is of utmost importance as it addresses the growing demand for professionals who can effectively analyze and make sense of the vast amount of data generated by single-cell RNA sequencing experiments.
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โข Introduction to Single-Cell RNA Sequencing (scRNA-seq): Overview of scRNA-seq technology, applications, and challenges.
โข Data Preprocessing: Quality control, data filtering, normalization, and feature selection.
โข Clustering and Dimensionality Reduction: Unsupervised learning techniques for single-cell RNA-seq data analysis.
โข Differential Expression Analysis: Statistical methods for identifying differentially expressed genes between cell clusters.
โข Cell Type Identification: Annotation of cell clusters using reference datasets and marker genes.
โข Trajectory Analysis and Pseudotime Inference: Reconstructing differentiation trajectories and pseudotime analysis.
โข Functional Enrichment Analysis: Gene set enrichment analysis to uncover biological functions and pathways.
โข Integrative Analysis: Combining multiple scRNA-seq datasets and multi-omics data integration.
โข Data Visualization: Visualization techniques for exploring and communicating scRNA-seq data analysis results.
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