Who is this class for: Learn various methods of analysis including: unsupervised clustering, gene-set enrichment analysis, interactive data visualization, and supervised machine learning with application to data from the Library of Integrated Network-based Cellular Signature (LINCS) program, and other relevant Big Data from high content molecular omics data and phenotype profiling of mammalian cells.


Created by:  Icahn School of Medicine at Mount Sinai

  • Avi Ma’ayan, PhD

    Taught by:  Avi Ma’ayan, PhD, Director, Mount Sinai Center for Bioinformatics

    Professor, Department of Pharmacological Sciences
LevelIntermediate
Commitment4-5 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
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Average User Rating 5.0See what learners said
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Trabalho

Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.

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Creators
Icahn School of Medicine at Mount Sinai
The Icahn School of Medicine at Mount Sinai, in New York City is a leader in medical and scientific training and education, biomedical research and patient care.
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Ratings and Reviews
Rated 5 out of 5 of 9 ratings

I recommend it, good materials, very instructive and a good level. Very interesting course.

A very practical courses. Very good introduction to Big Data sources and Computational Analysis tool.