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PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices.

Alexander LachmannKaeli A RizzoAlon BartalMinji JeonDaniel J B ClarkeAvi Ma'ayan
Published in: PeerJ (2023)
a user-friendly web interface, a Python package, and an Appyter. AVAILABILITY. The PrismEXP web-based application, with pre-computed PrismEXP predictions, is available from: https://maayanlab.cloud/prismexp; PrismEXP is also available as an Appyter: https://appyters.maayanlab.cloud/PrismEXP/; and as Python package: https://github.com/maayanlab/prismexp.
Keyphrases
  • copy number
  • genome wide
  • genome wide identification
  • gene expression
  • magnetic resonance
  • rna seq
  • diffusion weighted imaging