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Learner Reviews & Feedback for Network Analysis in Systems Biology by Icahn School of Medicine at Mount Sinai

4.5
stars
198 ratings

About the Course

This course introduces data analysis methods used in systems biology, bioinformatics, and systems pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, clustering, dimensionality reduction, differential expression, enrichment analysis, and network construction. The course contains practical tutorials for using several bioinformatics tools and setting up data analysis pipelines, also covering the mathematics behind the methods applied by these tools and workflows. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, statistics, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for wet- and dry-lab researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory (http://labs.icahn.mssm.edu/maayanlab/) from the Icahn School of Medicine at Mount Sinai in New York City, but also other freely available data analysis and visualization tools. The overarching goal of the course is to enable students to utilize the methods presented in this course for analyzing their own data for their own projects. For those students that do not work in the field, the course introduces research challenges faced in the fields of computational systems biology and systems pharmacology....

Top reviews

EC

Jul 23, 2020

It was a nice course with great information and resources for new people working or willing to work on bioinformatics

VS

Oct 7, 2024

it is very helpful for my research.the way of teaching is very nice. the lab demo was amazing in the whole session.

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26 - 34 of 34 Reviews for Network Analysis in Systems Biology

By Alessandro F

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Dec 17, 2018

Exciting course. I think some contents should be updated but in general an exhaustive overview.

By Judhajit S

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Jul 17, 2023

really good course but the final assessment was gruelling

By Alok S

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Oct 19, 2019

The content of the class was interesting. However many of the resources described do not work properly. Perhaps a greater focus on offline techniques would be better if the Mayaan lab cannot invest the resources to maintain a bunch of servers.

By Verena N

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Jun 22, 2022

more explanation and practical examples during the course would have been helpful

good to get a rough overview of principles and tools

a lot of info was to learn by heart (and not to understand)

By SHUBHAM G

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Apr 29, 2016

It was interesting and informative course. However, I found difficulty in relating lessons and get true meaning of the course

By Mohamad K K

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May 8, 2016

Lacks the hands on learning experience i was looking for but a great overview.

By Samuel T A

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Jan 5, 2016

very insightful

By Cem O

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Mar 21, 2023

I am totally frustrated. Putting pieces of some youtube video pieces together to make for a class is not the way to go. The presentation is very bland and information content is very diluted. Waste of money and time in my opinion.

By Jonathan M

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Dec 28, 2020

Mainly advertisement for a specific lab and all their research. Very little teaching on any theory or even basic understanding of Network Analysis. "Here is how to use this software which we developed ...". Basically every video.