Description:

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.

Start: Tuesday, 12 July 2022 @ 09:00

End: Thursday, 14 July 2022 @ 17:00

Timezone: London

Venue: TBC

City: Liverpool

Region: Merseyside

Country: United Kingdom

Postcode: L69 7ZX

Eligibility:
  • First come first served

Organizer: Computational Biology Facility

Contact: CBF@liverpool.ac.uk

Host institutions: University of Liverpool

Keywords: Systems biology, Pathway analysis, Network analysis, Microarray data analysis, Nanomaterials, machine learning, Experimental design, Proteomics, Metabolomics, transcriptomics

Target audience:
  • Experimental Researchers

Capacity: 20

Event type:
  • Workshops and courses

Sponsors: Liverpool Shared Research Facilities, Computational Biology Facility

Scientific topics: Experimental design and studies, Machine learning, Data visualisation, Bioinformatics