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CHANGELOG.md

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v0.4.0

This is the version described in our paper (Lekschas et al., 2020).

  • Add support for changing the classifier via the config file's classifier and classifier_params properties
  • Add ability to show more than 5 results per page via to HiGlass' new view scrolling
  • Add legend to the UMAP projection view and highlight
  • Add legend for the x-axis to the progress views
  • Add explanatory help for the progress views
  • Add ability to sort selected window by prediction probability
  • Add ability to normalize tracks within the same window by setting normalize_tracks: true in the config file. This is useful for exploring differential peaks.
  • Add ability to show the window with the highest prediction probability in the query view instead of a fixed search window by setting variable_target: true in the config file. This is useful for exploring pre-loaded labels where there is no defined search query
  • Improve the visibility of the Re-Train and Compute Projection buttons
  • Update HiGlass to v1.7
  • Fix several minor bugs

v0.3.0

  • Support multitrack search
  • Update active learning sampling strategies
  • Make windows selectable
  • Visualize the progress of the actively-learned classifier
  • Update and expand examples to use our newly trained autoencoders
  • Tons of bug fixes and performance improvements

v0.2.0

  • Represent datasets and encoders as classes rather than loose collections of dicts
  • Make autoencoders optional, i.e., some tracks might be encodable (and thus searchable) but the encoding might not be decodable.
  • Cache chunked, encoded, and autoencoded data as HDF5 files to avoid having to hold everything in memory.
  • Replace internal scatterplot with regl-scatterplot
  • Update the UI to the latest version of HiGlassApp
  • Remove Bootstrap v3, which is used by HiGlass's view header, as it's not needed and imposes a security risk

v0.1.0

  • Search across a single bigWig datasets over up to a few chromosomes