Skip to content
@DASL-Lab

DASL-Lab

Razzle DASL
README.md

DASL Lab: Data-driven Advancements in Statistical Learning

Current projects:

  • Proportions of variants of concern in wastewater samples space and time
    • Estimation of the proportions using GLM and ML methods
    • Estimation of the variants using unsupervised/clustering methods
    • Analysis of residuals for reconstructions of wastewater mutations data
    • Determination of the "correct" number of wastewater sampling sites
  • Habitat utililization using DBSCAN
    • Modifications to the algorithm based on the structure of the data
  • Sports analytics projects TBD
  • Wildland fire projects TBD

Popular repositories Loading

  1. data-treatment-plant data-treatment-plant Public

    Processing pipeline for wastewater sequences

    Jupyter Notebook 1

  2. .github .github Public

    Data-driven Advancements in Statistical Learning

  3. lineage-proportion-estimators lineage-proportion-estimators Public

    Demonstration and exploration of current methods for estimating proportions of lineages in wastewater.

    Jupyter Notebook

  4. provoc provoc Public

    Forked from phac-nml-phrsd/provoc

    PROportions of Variants of Concern using counts, coverage, and a variant matrix.

    R

  5. alcov-nooks-crannies alcov-nooks-crannies Public

    Forked from Ellmen/alcov

    Modifying AlCoV to focus on smaller portions of the genome.

    Python

Repositories

Showing 5 of 5 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…