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  • zwog Public

    Grammar-based generation of structured cycling workouts

    Python 5 BSD 3-Clause "New" or "Revised" License Updated Jan 13, 2025
  • LuxGLM Public

    LuxGLM is a method for quantifying oxi-mC species with arbitrary covariate structures from bisulphite based sequencing data. LuxGLM's probabilistic modeling framework combines a previously proposed…

    Python 1 3 Updated Jan 3, 2025
  • A novel probabilistic approach to explicitly model overdispersion and sampling zeros in 16S rRNA sequencing data by considering the temporal correlation between nearby time points using Gaussian Pr…

    Python 7 4 MIT License Updated Jan 3, 2025
  • Splotch Public

    Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data

    Jupyter Notebook 17 6 BSD 3-Clause "New" or "Revised" License Updated Jan 3, 2025
  • numpyro Public

    Forked from pyro-ppl/numpyro

    Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

    Python Apache License 2.0 Updated Oct 17, 2024
  • outlines Public

    Forked from dottxt-ai/outlines

    Structured Text Generation

    Python Apache License 2.0 Updated Mar 14, 2024
  • Span Public

    A simple js tool to annotate Spatial Transcriptomics (ST) data

    HTML BSD 3-Clause "New" or "Revised" License Updated Oct 10, 2023
  • raesymatto Public

    Raesymatto: visualize genomic data

    Jupyter Notebook BSD 3-Clause "New" or "Revised" License Updated Nov 27, 2021
  • Conversion of TrainerRoad workouts to text

    JavaScript 1 BSD 3-Clause "New" or "Revised" License Updated Sep 21, 2021
  • Lux Public

    Lux is an integrative hierarchical Bayesian model for analyzing any combination of BS-seq/oxBS-seq/TAB-seq/fCAB-seq/CAB-seq/redBS-seq/MAB-seq/etc data enabling accurate and unbiased quantification …

    Python 3 1 MIT License Updated Jan 27, 2020
  • Spav Public

    A tool for visualizing Splotch results

    Python BSD 3-Clause "New" or "Revised" License Updated Sep 17, 2019