Sentence examples for mutation network and from inspiring English sources

Step 2: A mutation network and an expression network are constructed based on the mutation and expression matrices, respectively.

We apply network inference algorithms to two examples of non-Gaussian high-throughput genomic data to learn (i) an mRNA expression network, (ii) a somatic mutation network and (iii) a collectively inferred gene network based on both data types.

Our general modeling approach continues the tradition of Goldie and Coldman [23] [25] in that we view a cancerous colony as a stochastic birth-death process; the main differences include the possibility to use drugs in combination rather than sequentially; the existence of combinatorial mutation networks and a non-zero cellular death rate.

An integrative network M   can be obtained by synthesizing the expression network EN and the mutation network MN.

Based on the mutation matrix A generated from somatic mutations and CNVs, a Mutation Network (MN) can be constructed.

First, somatic mutations and CNVs are used to generate a mutation network, similarly an expression network is obtained from the gene expression profiles.

All the (partially and fully) resistant types can be placed on a combinatorial mutation network.

We fix a simple combinatorial mutation network whose nodes have binary indices, as described above.

A division with a mutation implies that one of the daughter cells acquires a different phenotype, in agreement with the mutation network, while the other daughter cell does not carry the mutation.

The Network 4.5.0.1 software package (http://www.fluxus-engineering.com) was used to construct the minimum mutation network by means of the median-joining algorithm [ 22, 23].

Wang et al. [ 8] described a novel computational method to discover potential drug sensitivity relevant cancer subtypes and identify driver mutation modules of individual subtypes by coupling differentially expressed genes based subtyping analysis with driver mutation network analysis.