Part 1 - Networks of prior knowledge as frames to understand complex biological data | Vidéo | Carmin.tv

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Part 1 - Networks of prior knowledge as frames to understand complex biological data

By Julio Saez-Rodriguez

Appears in collection : Thematic Month Week 5: Networks and Molecular Biology / Mois thématique Semaine 5 : Réseaux et biologie moléculaire

Modern technologies allow us to profile in high detail biomedical samples at fast decreasing costs. New technologies are opening new data modalities, in particular to measure at the single cell level. Prior knowledge, and biological networks in particular, are useful to integrate this data and distill mechanistic insight. This can help to interpret the result of machine learning or statistical analysis, as well as generate input features for these methods. In addition, they can be converted in dynamic mechanistic models to gain more specific insight. I will give an overview of these approaches showcasing some examples and approaches used in the field.

Information about the video

Date of recording 02/03/2020
Date of publication 23/03/2020
Institution CIRM
Licence CC BY NC ND
Language English
Audience Researchers
Director(s) Guillaume Hennenfent
Format MP4

Citation data

DOI 10.24350/CIRM.V.19619503
Cite this video Saez-Rodriguez, Julio (02/03/2020). Part 1 - Networks of prior knowledge as frames to understand complex biological data. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19619503
URL https://dx.doi.org/10.24350/CIRM.V.19619503

Domain(s)

Bibliography

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