Using prior knowledge of biological process, we identified 154 genes not previously linked to autism of which 42% were significantly differentially expressed in autistic individuals.
Using prior knowledge of disease-related biological processes and the interaction networks of the disorders related to autism, we identified a set of 19 genes not previously linked to ASD that were significantly differentially regulated in individuals with autism.
Using prior knowledge for network inference can also be found in several other algorithms, see [ 1, 3, 4].
Using prior knowledge improved the clustering quality by reducing the impact of noise and high dimensionality in microarray data.
Yet this problem can be managed every day by using prior knowledge profitably.
Pardos, Z.A. & Xu, Y. (2016) Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization.
Among the various detection methods available, the prediction-based algorithms are popular without using prior knowledge and expert labels.
This paper presents an approach to risk reduction in composites processing using prior knowledge, prototype data, and model results.
These targets can be selected using prior knowledge of disease-associated pathways or identified using phenotypic chemical and genetic screens in model organisms and cells.
These parameters were adjusted using prior knowledge about the stiffness in parts of the material, e.g., the background was not irradiated and therefore its stiffness was homogeneous.
Then, using prior knowledge from interaction networks of disorders related to autism, we uncovered 334 new genes that interact with published autism genes, of which 87% were significantly differentially regulated in autistic individuals.
