Authors: Jasin Machkour, Michael Muma, Daniel P. Palomar
Published on: October 07, 2024
Impact Score: 7.4
Arxiv code: Arxiv:2410.05169
Summary
- What is new: A new method called Screen-T-Rex selector that is faster and more accurate for finding important genetic markers from large datasets.
- Why this is important: Existing methods for selecting genetic markers in large datasets are slow and often lead to false discoveries, wasting research efforts.
- What the research proposes: The Screen-T-Rex selector, a fast and reliable method for selecting relevant genetic markers without the need for extra parameters.
- Results: The Screen-T-Rex selector outperformed existing methods in speed and accuracy, demonstrated through simulations and real-world data on HIV-1 drug resistance.
Technical Details
Technological frameworks used: nan
Models used: Screen-T-Rex selector, T-Rex selector
Data used: Simulated data and real-world HIV-1 drug resistance data
Potential Impact
Pharmaceutical companies, genomics research organizations, and precision medicine markets.
Want to implement this idea in a business?
We have generated a startup concept here: GenomicGuard.
Leave a Reply