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DIfferential Network Analysis

Our working hypothesis is that genes belonging to a condition-specific pathway are actively co-regulated only in specific conditions when the. Pathway is active, but not in others, independently of their absolute level of expression. We developed a network-based algorithm, DINA, which is able to identify sets of genes which are significantly co-regulated only in specific. Conditions, but not in others. The algorithm starts with a set of M. Genes in each of the N. Probability is across the N.

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Our working hypothesis is that genes belonging to a condition-specific pathway are actively co-regulated only in specific conditions when the. Pathway is active, but not in others, independently of their absolute level of expression. We developed a network-based algorithm, DINA, which is able to identify sets of genes which are significantly co-regulated only in specific. Conditions, but not in others. The algorithm starts with a set of M. Genes in each of the N. Probability is across the N.

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DIfferential Network Analysis | dina.tigem.it Reviews

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Our working hypothesis is that genes belonging to a condition-specific pathway are actively co-regulated only in specific conditions when the. Pathway is active, but not in others, independently of their absolute level of expression. We developed a network-based algorithm, DINA, which is able to identify sets of genes which are significantly co-regulated only in specific. Conditions, but not in others. The algorithm starts with a set of M. Genes in each of the N. Probability is across the N.

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DIfferential Network Analysis

Our working hypothesis is that genes belonging to a condition-specific pathway are actively co-regulated only in specific conditions when the. Pathway is active, but not in others, independently of their absolute level of expression. We developed a network-based algorithm, DINA, which is able to identify sets of genes which are significantly co-regulated only in specific. Conditions, but not in others. The algorithm starts with a set of M. Genes in each of the N. Probability is across the N.

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