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In conclusion, our work here provides an objective analysis path for identifying potential driver genes using a cross-species computational approach, which can be applied to any tumor type for which sufficient mouse and human tumor data exist.
This integromics network-based meta-analysis study offers the first systemic view of cardiac aging molecular mechanisms and sketches the path for identifying robustly many more other involved molecular components than those already reported in literature.
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For such organisms, phenotype sequencing can open up a fast path for directly identifying a phenotype's genetic causes, for any phenotype where a good screen exists for generating multiple independent mutant strains.
Centrality analysis and Path analysis are used for identifying important works.
The high scalability of the method is achieved by using a novel fast method for finding activated paths for many test patterns in parallel, a novel algorithm to determine only a small subset of critical paths, and a novel method for identifying the true critical paths among this subset, using branch and bound strategy.
Using this model, we developed a new approach and a corresponding tool, ContextNet, based on a dynamic programming algorithm for identifying signalling paths linking proteins to their downstream target genes.
Reaction path and sensitivity analyses were conducted for identifying key reactions at various combustion conditions, and to obtain better understanding of the combustion characteristics of larger alcohols.
A procedure is described for identifying sources and paths of structure-born noise in structures built up from wide flange I-beams, as well as piping systems conveying compressible and incompressible fluid.
This paper proposes a novel classification model for identifying frequently observed paths within a specified network structure that can be used to classify known response classes.
Unlike the analysis of artificially constructed mutations for a limited number of target genes, experimental evolution of microbial populations could be useful for identifying such genetic paths across the whole genome.
In addition, reaction path and temperature A-factor sensitivity analyses were conducted for identifying key reactions at various combustion conditions.
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