Get Started with R and Python for Computational Biology with OmicsLogic
This program is designed to introduce beginners to the application of python in bioinformatics and biological data analysis. After the orientation we will cover the elements of data science in Python, such as data wrangling, visualization, statistical analysis, and machine learning. The methods will be reviewed in the context of biomedical and other scientific problems using -omics data. The methods will be reviewed in the context of biomedical and other scientific problems using -omics data. The exercises focus on importing and understanding various data types, transforming them into categorical variables, continuous data and extracting meaningful patterns for visualization. It is a minimalistic and intuitive language with a full-featured library line (also called frameworks) which significantly reduces the time required to get your first results.
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Our channel is about bioinformatics and its application to various biomedical and biotechnology challenges. We cover lots of cool topics on data analysis, machine learning and various technologies that generate high-throughput data like genomics, transcriptomics, metagenomics, epigenomics and others.
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