Lectures related to Trisomy X | EPFL Graph Search

Covers the conditions for finding absolute extrema in multivariable functions.

Explores meiosis, focusing on chromosome division, genetic shuffling, and consequences of errors.

Explores genetic dosage, X chromosome inactivation, and chromosome abnormalities, illustrated by real-life examples and genetic concepts.

Covers DNA replication, PCR technology, microsatellites, placental trisomy, and genetic anomalies in prenatal testing.

Explores trisomy correction mechanisms, mosaicism, and genetic disorder diagnosis challenges.

Explores variations in chromosome numbers and structure, including deletions, duplications, inversions, and translocations.

Covers the basics of linear regression, focusing on estimation and prediction.

Explores genetics, inheritance, and evolution, covering topics such as human sex determination and molecular evolution theories.

Explores sex determination, chromosomal aberrations, and genetic diseases, including deletions, duplications, and non-disjunction during meiosis.

Covers the definition of triple integrals, properties, and calculation methods.

Covers the transformations of joint continuous densities and their implications on probability distributions.

Covers limits and derivatives in multivariable functions, focusing on continuity, partial derivatives, and the gradient.

Covers the recap of Support Vector Regression with a focus on convex optimization and its equivalence to Gaussian Process Regression.

Explores a case of placental trisomy 7 and its implications on genetic testing.

Introduces the basics of conditional expectation, covering definitions, properties, and examples in the context of random variables.

Explores approximating functions with Taylor series, showcasing step-by-step calculations and practical applications.