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