Network Analysis in Systems Biology
This course is part of Systems Biology and Biotechnology.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Systems Biology and Biotechnology Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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پښتو, বাংলা, اردو, 2 more
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What you'll learn
Process and analyze genomic data effectively
Implement network analysis methods
Master bioinformatics tools and workflows
Develop data analysis pipelines
Skills you'll gain
This course includes:
8.5 Hours PreRecorded video
38 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 10 modules in this course
This comprehensive course covers advanced data analysis methods in systems biology and bioinformatics. Students learn to process and analyze genomic data, including RNA-seq and microarray data, through various computational approaches. The curriculum includes network modeling, clustering techniques, enrichment analysis, and practical application of bioinformatics tools. Through detailed modules, students master both theoretical concepts and hands-on implementation of data analysis pipelines.
Course Overview and Introductions
Module 1 · 3 Hours to complete
Topological and Network Evolution Models
Module 2 · 2 Hours to complete
Types of Biological Networks
Module 3 · 2 Hours to complete
Data Processing and Identifying Differentially Expressed Genes
Module 4 · 1 Hours to complete
Deep Sequencing Data Processing and Analysis
Module 6 · 5 Hours to complete
Principal Component Analysis, Self-Organizing Maps, Network-Based Clustering and Hierarchical Clustering
Module 7 · 4 Hours to complete
Resources for Data Integration
Module 8 · 1 Hours to complete
Crowdsourcing: Microtasks and Megatasks
Module 9 · 49 Minutes to complete
Final Exam
Module 10 · 30 Minutes to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Systems Biology and Biotechnology
Instructor
Director, Mount Sinai Center for Bioinformatics Icahn School of Medicine at Mount Sinai
Dr. Avi Ma'ayan is a Professor in the Department of Pharmacological Sciences at the Icahn School of Medicine at Mount Sinai. He is also the Director of the Mount Sinai Center for Bioinformatics. Dr. Ma'ayan leads the NIH-funded BD2K-LINCS Data Coordination and Integration Center (DCIC) and the Mount Sinai Knowledge Management Center (KMC) for Illuminating the Druggable Genome (IDG). His research focuses on applying graph theory algorithms, machine learning, dynamical modeling, and visualization methods to integrate various -omics datasets from mammalian sources. This work aims to improve the understanding of biological regulation on a global scale.
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Frequently asked questions
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