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deep-review

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software/deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

Machine-generated from the listed sources and not yet reviewed by a human.

deep-review project image
GitHub preview card for greenelab/deep-review. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
CC-BY-4.0(cc)
Status
dormant
Maturity
deployed
Organization
greenelab
Country
unknown
Documentation
unknown
Tags
deep-learning · genomics · manubot · manuscript · neural-networks · review
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • deep-rulesgenomics · manubot · manuscript

    Ten Quick Tips for Deep Learning in Biology

  • Abstract This review mainly focuses on research findings in the area of Hepatitis C virus (HCV) infection, diagnosis, and treatment which is based on published literature and covers the different…

  • ActflowToolboxneural-networks

    The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine…

  • amfinderneural-networks

    The Automatic Mycorrhiza Finder (AMFinder) allows for automatic computer vision-based identification and quantification of AM fungal colonisation and intraradical hyphal structures on ink-stained…

  • AugmentBrainneural-networks

    In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named…

  • controlCartographyneural-networks

    Code for: "Flexible coordinator and switcher hubs for adaptive task control". Cocuzza et al., 2020 (In Press). Journal of Neuroscience.

sources
  1. api.github.com/repos/greenelab/deep-review
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-12-25, 1280 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as CC-BY-4.0, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/46.json→ .entries["deep-review"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.