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@DASL-Lab

DASL-Lab

Razzle DASL

DASL Lab: Data-driven Advancements in Statistical Learning

Current projects:

  • Proportions of variants of concern in wastewater samples space and time
  • Modifications to DBSCAN based on the structure of the data, in particular a change in the definition of "central" points to include relations, rather than distances.
  • Sports analytics projects TBD
    • Especially spatial models of play area usage using event data.
  • Wildland fire projects TBD
    • Especially detection of patterns in latent representations of the processes.

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

  6. dadnow dadnow Public

    Forked from phac-modelling-hub/dadnow

    Nowcasting Discharge Abstract Database (DAD)

    R

Repositories

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