A series of logical algorithms (pathways) underpin questions which a call-handler uses to ask the caller/patient to determine the clinical skills required to provide care, and the timeframe in which they must be accessed.
The algorithm identifies pathways disrupted by genes with copy number alterations.
We conducted a plausibility check of the algorithm's pathways by backtracking four own previously published systematic reviews.
Through analysis of a time series of gene expression, the algorithm identifies pathways which are directly or indirectly associated with genes of interest, and which are active during the time course of the experiment.
As an output this algorithm produces Pathway Activation Strength (PAS) values, where positive and negative PAS values indicate pathway up- and down-regulation, respectively.
The inputs to the analysis algorithm are pathway topology and gene expression data.
The CDSS contains algorithms and pathways for most infections occurring in patients in surgical ICUs.
Previously, pathway analysis methods had been developed based on algorithms considering pathways as simple gene lists and ignoring pathway structure.
The TAIR ID of these genes was taken as input for shortest path algorithm in pathway studio.
In contrast to linear models, the CoGAPS algorithm performs pathway inference without a priori knowledge of the experimental conditions listed in Table 1.
