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In contrast to a purely frequency based approach to identifying driver mutations in cancer, we propose an automated network-based approach for identifying candidate oncogenic processes and driver genes.
In contrast to a purely frequency based approach to identifying cancer signals and candidate drivers, we and others [11] have proposed a network-based approach to the problem.
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An observation association method is developed which uses an optimization based approach to identify local Mahalanobis distance minima in state space between two uncertain admissible regions.
Herein we utilize a machine learning based approach to identify lymphocyte markers with which we can quantify the presence of B cells, cytotoxic T-lymphocytes, T-helper 1, and T-helper 2 cells in any gene expression data set and apply it to studies of breast tissue.
The purpose of this paper is to describe a value based approach to identify and optimise services provided by the restoration of brownfields to soft re-uses, on a permanent or interim basis.
In this sense, this study proposes a streamlined life cycle assessment based approach to identify potential social impacts along the PSS life cycle that can be integrated into the early PSS design stages.
In this paper, a new methodology was developed using a reverse engineering (RE) based approach to identify the material properties for ultra-soft materials, such as human brain tissues, that are very difficult to cut into an accurate geometric shape necessary for engineering measurements.
We complement this with substructure based approach to identify and understand potentially enriched substructures in the active dataset.
To investigate the role of miR-145 in colon cancer, we have employed a microarray based approach to identify miR-145 targets.
In this study, we have employed a molecular evolution and phylogenetics based approach to identify genes that might play important roles in conferring host specificity to different serovars of S. enterica.
It should be noted that Russell et al used a pattern based approach to identify U12 type introns.
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