公开(公告)号：US20230197194A1

公开(公告)日：2023-06-22

申请号：US18086279

申请日：2022-12-21

Applicant: DASSAULT SYSTEMES

Inventor： Pauline SÉCHET ,  Arthur BALL

IPC: G16B25/10 ,  G16B30/00 ,  G16B40/20 ,  G06N3/08

CPC classification number: G16B25/10 ,  G16B30/00 ,  G16B40/20 ,  G06N3/08

Abstract: A computer-implemented method for training a neural network for inferring a gene expression profile. The method includes obtaining a matrix of potential regulations between genes of a set of genes of a sequence of reference genome, obtaining a neural network having an input layer of nodes and an output layer of nodes, the input layer and the output layer having an equivalent node for representing each gene of the set of genes of the sequence of the reference genome, each node of the input layer representing a regulator gene and each node of the output layer representing a regulated gene, adding connections to the neural network from the nodes of the input layer to the nodes of the output layer, the added connections being extracted from the obtained matrix of potential regulations, training the neural network by using a set of gene expression profiles of the observed biological process, each connection of the trained the neural network being weighted, and removing connections of the trained neural network having an insignificant weight value.