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Infer Global, Predict Local - Bias-Variance Theory for Protein Genotype-to-Phenotype Mapping

Offered By: Institut Henri Poincaré via YouTube

Tags

Statistical Inference Courses Bioinformatics Courses Machine Learning Courses Genetics Courses Molecular Biology Courses Evolutionary Biology Courses Computational Biology Courses

Course Description

Overview

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Explore a 36-minute lecture by Rémi Monasson from ENS, France, on the bias-variance theory for protein genotype-to-phenotype mapping. Delve into the complex relationship between global inference and local prediction in the context of protein science. Gain insights into how this theory can be applied to understand the intricate connections between genetic information and observable traits in proteins. Learn about the challenges and implications of inferring global patterns while making localized predictions in the field of molecular biology.

Syllabus

Infer global, predict local: bias-variance theory for protein genotype-to-phenotype mapping


Taught by

Institut Henri Poincaré

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