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DTSTAMP:20260618T181447Z
UID:ab2a50a2-aa69-4b37-89ed-1c2d4a42e47a
DTSTART:20220712T080000Z
DTEND:20220714T160000Z
DESCRIPTION:A CBF three-day face-to-face intense course for experimental bi
 ologists and clinicians\n\nDemystify computational biology and come to lea
 rn:\n-Functional &amp\; pathway enrichment\n-In-silico biomarker discovery
  using multivariate methods and machine learning\n-Identification of trans
 criptional hubs &amp\; master regulators via network analysis\n-Best exper
 imental design practices  \n-Dedicated time to talk about your data and ex
 periments\n\nTheory and practice sessions. 1-1 support.  \n\nRequirements\
 nAll materials have been built using relevant life sciences/clinical examp
 les. The course has been designed for delegates with some R experience (ba
 sics). A refresher of R from beginner level is included and all relevant c
 ode will be provided such as delegates will only have to run specific scri
 pts. \n\nAdministrative details\nA significantly reduced access fee of £2
 25 is available to all academic delegates. Other delegates will be quoted 
 upon request. \n
LOCATION:TBC
SUMMARY:Omics analyses: Pathways\, Networks and Biomarkers
URL;VALUE=URI:https://www.liverpool.ac.uk/computational-biology-facility/ev
 ents/pathways-networks-biomarkers/
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