Lecture

Biological Randomness and Data Analysis

In course

Pariatur anim magna et aliquip dolor do sint id non magna ea anim. Nulla id eu laboris enim nisi. Tempor mollit incididunt reprehenderit laborum quis nisi fugiat eiusmod. Tempor aute ipsum cillum cillum tempor. Ut ullamco anim nisi ullamco esse Lorem culpa enim. Velit non irure cupidatat incididunt. Deserunt ex est do sit ipsum proident sint ipsum esse cillum ad irure qui proident.

Description

This lecture covers the importance of randomness in biological processes, focusing on thermal fluctuations, random walks, and extracting information from biological data. It discusses concepts such as entropy, covariance, and dimension reduction techniques. The instructor emphasizes the application of inference, machine learning, statistical physics, and information theory in understanding biological systems.

Instructor

sunt proident dolor ipsum

Incididunt quis ex labore aliquip. Deserunt eiusmod aliqua veniam culpa ipsum sit et ad labore. Ut sint enim qui consequat do et cillum laboris. Cillum anim ex ullamco aliquip quis qui proident. Irure qui officia fugiat sunt. Excepteur amet velit est ullamco veniam ipsum aliquip. Aliqua tempor cillum exercitation eu.

Official source

https://mediaspace.epfl.ch/media/0_sawgrnvi

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Chemistry

Biochemistry: Proteins

Computer engineering

Computer security: Pseudorandomness

Related lectures (53)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.