Nano Trees: nanopore signal processing and sublevel fitting using decision trees
Nano Trees is a novel approach to fitting time resolution-limited piecewise constant time series for solid-state nanopores experiments.
Authors
- Kyle Briggs (ORCID: https://orcid.org/0000-0002-0183-6585)
- Philipp Mensing (ORCID: https://orcid.org/0000-0001-6590-1975)
- Paula Branco (ORCID: https://orcid.org/0000-0002-9917-3694)
- Vincent Tabard‐Cossa (ORCID: https://orcid.org/0000-0003-4375-717X)
- James L. Harden (ORCID: https://orcid.org/0000-0002-4118-7209)
- Deekshant Wadhwa (ORCID: https://orcid.org/0000-0002-4293-734X)
Institutions
- University of Ottawa (CA)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00060b
- Citations
- 2
- Primary Topic
- Nanopore and Nanochannel Transport Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Oxford Nanopore Technologies
- Ontario Centre of Innovation
- Natural Sciences and Engineering Research Council of Canada