Sentence examples for prediction disease from inspiring English sources

Recently, label propagation and its variants have been successfully applied in many contexts including gene function prediction, disease gene prioritization, biomarker identification, and disease outcome prediction [ 31- 36].

The possible future research directions are Because biological network is a special kind of social networks, to uncover the social behaviors hidden in biological networks and make the most of them to discover biological problems, such as protein complex prediction, disease causing genes prediction, are very promising.

Those papers contributed to a wide-range of important research fields including gene expression data analysis and applications, high-throughput genome mapping, sequence analysis, gene regulation, protein structure prediction, disease prediction by machine learning techniques, systems biology, database and biological software development.

Rich disease-gene association knowledge can enable the accurate prediction of disease predisposition patterns.

Razavian, N. et al. Multi-task prediction of disease onsets from longitudinal lab tests.

Genome-wide sequencing is important in advancing our understanding and prediction of disease and in identifying potential treatments.

An accurate prediction of disease progression would facilitate optimal decision-making for clinicians and patients.

Karczewski, K. J., Snyder, M., Altman, R. B. & Tatonetti, N. P. Coherent functional modules improve transcription factor target identification, cooperativity prediction, and disease association.

Thus, we report a high-throughput, multiplexed strategy for single-cell mutation profiling of individual lung cancer CTCs toward minimally invasive cancer therapy prediction and disease monitoring.

Our framework provides a mathematically natural way to integrate heterogeneous network data sources for classical function prediction and disease gene prioritization problems.

Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes.