Can I read aTEMPO: Pathway-Specific Temporal Anomalies for Precision Therapeutics on EtoBox?

aTEMPO: Pathway-Specific Temporal Anomalies for Precision Therapeutics by Christopher Michael Pietras; Liam Power; Donna K Slonim is a scholarly article available to read on EtoBox.

What is aTEMPO: Pathway-Specific Temporal Anomalies for Precision Therapeutics about?

Dynamic processes are inherently important in disease, and identifying disease-related disruptions of normal dynamic processes can provide information about individual patients. We have previously characterized individuals’ disease states via pathway-based anomalies in expression data, and we have identified disease-correlated disruption of predictable dynamic patterns by modeling a virtual time series in static data. Here we combine the two approaches, using an anomaly detection model and virtual time series to identify anomalous temporal processes in specific disease states. We demonstrate that this approach can informatively characterize individual patients, suggesting personalized therapeutic approaches.

Author

Christopher Michael Pietras; Liam Power; Donna K Slonim

Published

2019

Language

EN