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Intro
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What is a regulatory network
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Why do regulatory networks matter?
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Expperimental techniques for mapping regulatory network components
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Paradigms of network inference
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Expression-based network inference basic principle
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A non-exhaustive list of expression-based network inference method
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Milestones in expression-based GRN inference
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Integrative expression-based network inference
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Prior-based approaches for network inference
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Methods for incorporating auxiliary data
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Inferelator: A parameter prior-based network inference algorithm
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Modified Elastic Net (MEN)
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MERLIN+P: A structure prior-based network inference algorithm
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Network component analysis (NCA) for TFA estimation
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A non-exhaustive list of integrative network inference methods
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Basic principle of predictive models of expression
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Inferring GRNs using predictive models of expression
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Using Predictive models to identify regulators of early lineage commitment
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Transcriptional dynamics during cellular reprogramming
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Expression-based GRN inference vs Predictive models of expression
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Single cell genomics is revolutionizing biology
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Classes of network inference algorithms
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Incorporating accessibility for single cell GRN inference
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Symphony
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore gene regulatory network inference techniques from bulk and single-cell omic datasets in this comprehensive lecture from the Computational Genomics Summer Institute 2022. Delve into the importance of regulatory networks, experimental mapping techniques, and various inference paradigms. Learn about expression-based network inference principles, integrative approaches, and prior-based methods. Examine predictive models of expression and their applications in identifying regulators of early lineage commitment and transcriptional dynamics during cellular reprogramming. Discover how single-cell genomics is revolutionizing biology and the incorporation of accessibility data in single-cell GRN inference. Gain insights into specific algorithms and methodologies, including Inferelator, Modified Elastic Net (MEN), MERLIN+P, and Symphony, while exploring related research papers for further understanding.

Inference of Gene Regulatory Networks from Bulk and Single Cell Omic Datasets

Computational Genomics Summer Institute CGSI
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#Data Science #Bioinformatics #Computer Science #Machine Learning #Science #Biology #Genomics #Transcriptomics #Systems Biology #Computational Biology #Information Technology #Data Management #Data Integration #Gene Regulatory Networks
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Intro