Abstract: A computer-implemented method for determining and quantifying modes of activation of biological pathways in individual cells, including: receiving sequencing data obtained by a single-cell RNA sequencing method, and a plurality of gene lists, determining a gene-cell expression matrix based on the sequencing data and the plurality of gene lists, carrying out a principal component analysis (PCA) on said gene-cell expression matrix, so as to determine a plurality of modes of activation of at least one among the biological pathways, selecting a subset of so-called effective modes of activation among the plurality of modes of activation, determining a matrix referred to as activity matrix, the activity matrix including scores quantifying a level of activity of each effective mode of activation among the subset of effective modes of activation within each individual cell among the set of individual cells.

Abstract: The present invention relates to biomarkers which comprise one or more genomic sequence(s) comprising epigenetic modification and their use in a method for predicting resistance to cancer treatment, in particular for patient stratification.

Abstract: The present invention provides a method for determining the RES phenotype in a tumor. The present invention further provides a method for predicting the sensitivity of a tumor to an epigenetic treatment, the method comprising determining the RES phenotype in said tumor, the presence of the RES phenotype in a tumor being indicative of a tumor sensitive to an epigenetic therapy. The present invention also provides a method for diagnosing an aggressive tumor and for selecting a patient affected with a tumor for an epigenetic therapy.