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Pinned

  1. Predicting Cell Health with Morphological Profiles

    Jupyter Notebook 1

  2. cytominer python package

    Python 1 1

  3. Training and evaluating a variational autoencoder for pan-cancer gene expression data

    HTML 86 31

  4. BioBombe: Sequentially compressed gene expression features enhances biological signatures

    Jupyter Notebook 24 8

  5. Building classifiers using cancer transcriptomes across 33 different cancer-types

    Jupyter Notebook 48 21

  6. Putting machine learning in the hands of cancer biologists

    Jupyter Notebook 87 28

1,371 contributions in the last year

Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mon Wed Fri

Contribution activity

September 2019

Created a pull request in cytomining/pycytominer that received 1 comment

[Pooled] try to convert columns to numeric

if conversion fails (e.g. if there is a column string) then do not alter column

+3 −1 1 comment

Created an issue in broadinstitute/cell-health that received 1 comment

Across all models, are certain cell painting features more explanatory than others?

Exploring model coefficients across all models, what does this distribution look like?

1 comment
67 contributions in private repositories Sep 3 – Sep 17

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