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scAAnet

imported

software/scaanet

Single-cell archetypal analysis neural network

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

scAAnet project image
GitHub preview card for AprilYuge/scAAnet. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
archetypal · autoencoder · single-cell
Regulatory
unknown
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.

  • AutoImputeautoencoder · single-cell

    AutoImpute : Autoencoder based imputation of single cell RNA-seq data

  • scapeautoencoder · single-cell

    Single-cell Analysis of Perturbational Effects using Machine Learning

  • aestetikautoencoder

    AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data

  • Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain

  • cytoselfautoencoder

    Self-supervised models for encoding protein localization patterns from microscopy images

  • MIN2Netautoencoder

    End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

sources
  1. api.github.com/repos/AprilYuge/scAAnet
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-05-27, 16 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/40.json→ .entries["scaanet"]

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