\n\nResults: The predictive integration of gene expression data and standardized functional similarity information enabled us to identify new treatment response biosignatures. Gene expression data originated from Ado-treated and -untreated EPCs

samples, and functional similarity was estimated with Gene Ontology (GO)-based similarity information. These information sources enabled us to implement and evaluate an integrated prediction approach based on the concept of k-nearest neighbours learning (kNN). The method can be executed by expert-and data-driven input queries to guide the search for biologically meaningful biosignatures. The resulting integrated kNN system identified new candidate EPC biosignatures that can offer high classification performance (areas under the operating characteristic curve > 0.8).

NVP-LDE225 in vivo We also VX-809 manufacturer showed that the proposed models can outperform those discovered by standard gene expression analysis. Furthermore, we report an initial independent in vitro experimental follow-up, which provides additional evidence of the potential validity of the top biosignature.\n\nConclusion: Response to Ado treatment in EPCs can be accurately characterized with a new method based on the combination of gene co-expression data and GO-based similarity information. It also exploits the incorporation of human expert-driven queries as a strategy to guide the automated search for candidate biosignatures. The proposed biosignature improves the systems-level characterization selleck products of EPCs. The new integrative predictive modeling approach can also be applied to other phenotype characterization or biomarker discovery problems.”
“Sleep disorders are common in neurodegenerative diseases such as Parkinson’s disease (PD), multiple system atrophy (MSA), amyotrophic lateral sclerosis (ALS), hereditary ataxias, and Alzheimer’s disease (AD). Type, frequency, and severity of sleep disturbances vary depending on each of these diseases. Cell loss of the brainstem nuclei that modulates respiration, and dysfunction of bulbar and diaphragmatic muscles increase the

risk for sleep-disordered breathing (SDB) in MSA and ALS. The most relevant SDB in MSA is stridor, whereas in ALS nocturnal hypoventilation due to diaphragmatic weakness is the most common sleep breathing abnormality. Stridor and nocturnal hypoventilation are associated with reduced survival in MSA and ALS. In contrast, sleep apnea seems not to be more prevalent in PD than in the general population. In some PD patients, however, coincidental obstructive sleep apnea (OSA) can be the cause of excessive daytime sleepiness (EDS). SDB can also occur in some hereditary ataxias, such as stridor in spinocerebellar ataxia type 3 (Machado-Joseph disease). The presence of concomitant OSA in patients with AD can have deleterious effects on nocturnal sleep, may result in EDS, and might aggravate the cognitive deficits inherent to the disease.