VS
5.0Reviewed 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.
Excellent course to get deep into the data analysis of system biology experimentation.
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.
Status: Biology
Status: Bioinformatics
IntermediateCourse30 hours
Featured reviews
JS
4.0Reviewed Jul 16, 2023
really good course but the final assessment was gruelling
EC
5.0Reviewed Jul 23, 2020
It was a nice course with great information and resources for new people working or willing to work on bioinformatics
AF
4.0Reviewed Dec 16, 2018
Exciting course. I think some contents should be updated but in general an exhaustive overview.
PR
4.0Reviewed 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.
PK
4.0Reviewed 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.
FP
5.0Reviewed Jun 2, 2016
Excellent course to get deep into the data analysis of system biology experimentation.
CC
5.0Reviewed Apr 5, 2016
Its really a very interesting course ,and very informative
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Felix E. Rivera-Mariani, PhD
5.0
Reviewed Jun 3, 2016Erick Conchucos
4.0
Reviewed May 10, 2016From the Systems Biology specialization courses, this is the one from where I have learned the most, in some way the reason is because I didn't know most of Network Analysis, but now I feel familiarized with it. I consider this is one of the most extended courses, and could be improved in the practice evaluation with more exercises.
Yalda Yaghooti
3.0
Reviewed Apr 26, 2021The content of each week was good (except for the RNA-seq lectures which I had no clue what the instructor was talking about!) but I think there was no integration between them and it was hard to connect everything in my brain. Also, lots of lectures were about how to analyze a list of differentially expressed genes but no one ever explained how to identify differentially expressed genes! which is why I'm stuck in the first step of my project.
Although I wasn't very satisfied by all the lecturers, I think Neil Clarke did a great job at explaining how some methods work.
Overall, I don't feel like I've learned network analysis in systems biology. Don't expect this course to make you an expert in the field.
C.RAMYA
5.0
Reviewed Apr 6, 2016Its really a very interesting course ,and very informative
Venkadajalapathi S
5.0
Reviewed Oct 8, 2024it is very helpful for my research.the way of teaching is very nice. the lab demo was amazing in the whole session.
DBSun
5.0
Reviewed Mar 28, 2016demanding and interesting , like it ~
Jorge Alberto Guzmán Maldonado
4.0
Reviewed Jan 25, 2024This has been the best course of the specialization so far. It packs a lot of info, but is very well organized and consistent, a big improvement from the other courses. My only complain is the RNA-seq part in week 6, which I found to be very confusing. I wasn't able to fully understand how it relates to the experimental methods from the last course. Something to consider is that the course is more than 10 years old, so many of the tools introduced are not really standard anymore. That being said, some others, as Enrichr I believe, became quite common nowadays.
Arif Rahman
4.0
Reviewed Feb 11, 2020It's a comprehensive course, very resoureful. The course needs few update in terms of softwares/tools mentioned. Some of the lectures are hard to follow, especially if you are coming from non-bioinformatics background. Overall, an excellent course.
Carlos Alessandro Fuzo
5.0
Reviewed Feb 6, 2021Well elaborated and that brings an overview of bioinformatics and systems biology. The knowledge acquired is already being very useful and has helped me a lot in my investigations. My sincere thanks to Dr. Avi Ma'ayan, students and researchers for preparing this course.
Mimi Daran
5.0
Reviewed Jun 29, 2021I have learned alot from this course. This course really helped me to gained more knowledge. Thanks again. Love to see, new advanced course in Bioinformatics (personalised medicine) area. Please put more advanced course.
Esteban Charria
5.0
Reviewed Jul 24, 2020It was a nice course with great information and resources for new people working or willing to work on bioinformatics
Sandeep Kumar
5.0
Reviewed Apr 3, 2022nice and very informative course
Muhammad Waqas
5.0
Reviewed Jan 3, 2019my favorite and the best course
Hamsini Natarajan
5.0
Reviewed Feb 3, 2021Very informative course.
Salvatore McDonagh
5.0
Reviewed Jan 30, 2016Thanks - excellent!
julio cesar rosales medina
5.0
Reviewed Nov 11, 2016Excellent course .
Kirk Gosik
5.0
Reviewed Dec 1, 2016Very good course
mac giang
5.0
Reviewed Feb 5, 2018helpful
Alejandra Ruiz Osorio
5.0
Reviewed Dec 4, 2020good!
Lizhu Zuo
5.0
Reviewed Jun 30, 2024棒！