DISC
importedsoftware/disc
A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/iyhaoo/DISC
- Documentation
- unknown
- Tags
- deep-learning · imputation · semi-supervised-learning · single-cell · transcriptome
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- LR-splitpipesingle-cell · transcriptome
Demultiplexing and debarcoding tool designed for LR-Split-seq data.
- scCATCHsingle-cell · transcriptome
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
- TrendCatchersingle-cell · transcriptome
TrendCatcher is an open source R-package that allows users to systematically analyze and visualize time course data. Please cite "Temporal transcriptomic analysis using TrendCatcher identifies early…
- sisuasemi-supervised-learning · single-cell
SemI-SUpervised generative Autoencoder models for single cell data
- mavistranscriptome
Merging, Annotation, Validation, and Illustration of Structural variants
- RATTLEtranscriptome
Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing
- api.github.com/repos/iyhaoo/DISCretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2021-05-19, 12 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/12.json→ .entries["disc"]
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