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Вернуться к Сетевой анализ в системной биологии

Отзывы учащихся о курсе Сетевой анализ в системной биологии от партнера Школа Медицины Икан на горе Синай

4.5
звезд
Оценки: 186

О курсе

An introduction to data integration and statistical methods used in contemporary 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, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for 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, but also other freely available data analysis and visualization tools. The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects. For those participants that do not work in the field, the course introduces the current research challenges faced in the field of computational systems biology....

Лучшие рецензии

EC

23 июля 2020 г.

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

FP

2 июня 2016 г.

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

Фильтр по:

26–29 из 29 отзывов о курсе Сетевой анализ в системной биологии

автор: SHUBHAM G

•

29 апр. 2016 г.

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

автор: Mohamad K K

•

8 мая 2016 г.

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

автор: Samuel T A

•

5 янв. 2016 г.

very insightful

автор: Jonathan M

•

28 дек. 2020 г.

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.

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