返回到 Network Analysis in Systems Biology
Icahn School of Medicine at Mount Sinai

Network Analysis in Systems Biology

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.

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中级课程小时

精选评论

VS

5.0评论日期: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.

EC

5.0评论日期:Jul 23, 2020

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

PR

4.0评论日期:Jul 21, 2020

Various analytical approaches for network analysis are very well explained. Also, have explained the working of different bioinformatics or network-based tools and software.

CC

5.0评论日期:Apr 5, 2016

Its really a very interesting course ,and very informative

FP

5.0评论日期:Jun 2, 2016

Excellent course to get deep into the data analysis of system biology experimentation.

PK

4.0评论日期:Nov 5, 2025

need to improve the content with time as it was recorded in 2013-14 and for 2025 it's old as a lot of new techniques are there and some of the pld ones aren't use as much. That's all i guess.

AF

4.0评论日期:Dec 16, 2018

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

JS

4.0评论日期:Jul 16, 2023

really good course but the final assessment was gruelling

所有审阅

显示:20/37

Felix E. Rivera-Mariani, PhD
5.0
评论日期:Jun 3, 2016
Erick Conchucos
4.0
评论日期:May 10, 2016
Yalda Yaghooti
3.0
评论日期:Apr 26, 2021
C.RAMYA
5.0
评论日期:Apr 5, 2016
Venkadajalapathi S
5.0
评论日期:Oct 8, 2024
DBSun
5.0
评论日期:Mar 27, 2016
Jorge Alberto Guzmán Maldonado
4.0
评论日期:Jan 24, 2024
Arif Rahman
4.0
评论日期:Feb 11, 2020
Carlos Alessandro Fuzo
5.0
评论日期:Feb 6, 2021
Mimi Daran
5.0
评论日期:Jun 29, 2021
Esteban Charria
5.0
评论日期:Jul 24, 2020
Sandeep Kumar
5.0
评论日期:Apr 3, 2022
Muhammad Waqas
5.0
评论日期:Jan 3, 2019
Hamsini Natarajan
5.0
评论日期:Feb 3, 2021
Salvatore McDonagh
5.0
评论日期:Jan 30, 2016
julio cesar rosales medina
5.0
评论日期:Nov 11, 2016
Kirk Gosik
5.0
评论日期:Dec 1, 2016
mac giang
5.0
评论日期:Feb 5, 2018
Alejandra Ruiz Osorio
5.0
评论日期:Dec 4, 2020
Lizhu Zuo
5.0
评论日期:Jun 30, 2024