A gene regulatory network inference model based on pseudo-siamese network

HIGHLIGHTS

  • who: Qian Wang from the School of Electrical Beijing University of Civil Beijing, China have published the research: A gene regulatory network inference model based on pseudo-siamese network, in the Journal: (JOURNAL)
  • what: This study proposes a multilevel multi-structure framework called a pseudoSiamese GRN (PSGRN) for inferring large-scale GRNs from time-series expression datasets. This study proposed a new framework: a PSGRN that allows GRNs to be inferred from scRNA-seq data elucidating the temporal and spatial features of TFs and their target genes. Taking inspiration from the analysis conducted by Matsumoto . . .

     

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