Autoclassweb: a simple web interface for bayesian clustering of omics data

HIGHLIGHTS

  • who: Pierre Poulain from the (UNIVERSITY) have published the paper: AutoClassWeb: a simple web interface for Bayesian clustering of omics data, in the Journal: (JOURNAL)
  • what: And to reduce the installation burden, the authors provide two companion GitHub repositories with detailed instructions, for local (https://u200bgithub.u200bcom/u200bpierru200b epo/u200bautocu200blasswu200beb-u200bapp) and server installation (https://u200b github.u200bcom/u200bpierru200bepo/u200bautocu200blasswu200beb-u200bserver).

SUMMARY

    In biology, high-throughput technologies (notably in genomics and proteomics) enable identification and quantification of several thousands of genes or proteins in a single experiment. To analyze such a . . .

     

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