AI Article Synopsis
- The study emphasizes the importance of having a proper framework to analyze the dynamic evolution of systems, particularly in the context of variable data over time.
- Researchers developed a tool called CONNECTOR, which simplifies the analysis of longitudinal data, allowing for effective clustering of time-series data related to tumor growth from various cancer patients.
- CONNECTOR is freely accessible for public use under the GNU GPL license, making it an open resource for researchers to further explore and implement in their studies.
Article Abstract
Motivation: The transition from evaluating a single time point to examining the entire dynamic evolution of a system is possible only in the presence of the proper framework. The strong variability of dynamic evolution makes the definition of an explanatory procedure for data fitting and clustering challenging.
Results: We developed CONNECTOR, a data-driven framework able to analyze and inspect longitudinal data in a straightforward and revealing way. When used to analyze tumor growth kinetics over time in 1599 patient-derived xenograft growth curves from ovarian and colorectal cancers, CONNECTOR allowed the aggregation of time-series data through an unsupervised approach in informative clusters. We give a new perspective of mechanism interpretation, specifically, we define novel model aggregations and we identify unanticipated molecular associations with response to clinically approved therapies.
Availability And Implementation: CONNECTOR is freely available under GNU GPL license at https://qbioturin.github.io/connector and https://doi.org/10.17504/protocols.io.8epv56e74g1b/v1.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159654 | PMC |
| http://dx.doi.org/10.1093/bioinformatics/btad201 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!