scAAnet
importedsoftware/scaanet
Single-cell archetypal analysis neural network
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/AprilYuge/scAAnet
- Documentation
- unknown
- Tags
- archetypal · autoencoder · single-cell
- Regulatory
- unknown
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
- Brain-MRI-Autoencoderautoencoder
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)
- api.github.com/repos/AprilYuge/scAAnetretrieved 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 →
/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.