Omics analyses: Pathways, Networks and Biomarkers
Date: 12 - 14 July 2022
Timezone: London
A CBF three-day face-to-face intense course for experimental biologists and clinicians
Demystify computational biology and come to learn:
-Functional & pathway enrichment
-In-silico biomarker discovery using multivariate methods and machine learning
-Identification of transcriptional hubs & master regulators via network analysis
-Best experimental design practices
-Dedicated time to talk about your data and experiments
Theory and practice sessions. 1-1 support.
Requirements
All materials have been built using relevant life sciences/clinical examples. The course has been designed for delegates with some R experience (basics). A refresher of R from beginner level is included and all relevant code will be provided such as delegates will only have to run specific scripts.
Administrative details
A significantly reduced access fee of £225 is available to all academic delegates. Other delegates will be quoted upon request.
Contact: CBF@liverpool.ac.uk
Keywords: Systems biology, Pathway analysis, Network analysis, Microarray data analysis, Nanomaterials, machine learning, Experimental design, Proteomics, Metabolomics, transcriptomics
Venue: TBC
City: Liverpool
Region: Merseyside
Country: United Kingdom
Postcode: L69 7ZX
Organizer: Computational Biology Facility
Host institutions: University of Liverpool
Eligibility:
- First come first served
Target audience: Experimental Researchers
Capacity: 20
Event types:
- Workshops and courses
Sponsors: Liverpool Shared Research Facilities, Computational Biology Facility
Scientific topics: Bioinformatics, Data visualisation, Machine learning, Experimental design and studies
Activity log