Skip to main content

Add-on for bioinformatics analysis of single cell data.

Project description

Orange3 Single Cell

The Single Cell add-on for Orange3 adds functionality for analysis of single cell data. The widgets enable gene filtering, preprocessing, batch effect removal, gene and cell scoring and cluster analysis. The widgets can be used seamlessly with other Orange widgets, including those from Orange3-Bioinformatics add-on.

Features

Explore the Diversity of Cells

  • load data from any platform and filter outlier cells
  • normalize expression values across samples and platforms
  • identify and explore sub-populations with a sample and across multiple samples

Discover New Marker Genes

  • identify signature genes for each subpopulation using multiple methods
  • use gene ontology enrichment to explore the biological meaning and identify cell types

Predict New Cell Types

  • build classifiers to identify the cell type of each subpopulation
  • use classifier on new data samples to predict cell types and focus on interesting cell type populations

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

orange3_singlecell-1.7.1.tar.gz (2.6 MB view details)

Uploaded Source

Built Distribution

Orange3_SingleCell-1.7.1-py3-none-any.whl (798.8 kB view details)

Uploaded Python 3

File details

Details for the file orange3_singlecell-1.7.1.tar.gz.

File metadata

  • Download URL: orange3_singlecell-1.7.1.tar.gz
  • Upload date:
  • Size: 2.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for orange3_singlecell-1.7.1.tar.gz
Algorithm Hash digest
SHA256 841e4594d16455300d35cf85a824bf3b2cce060654e26c820b7d746b4f85c0c8
MD5 198d8a05b5dae3bbe036c9a078c35f5d
BLAKE2b-256 f21f43c56efa73dfd1e9c18ed46ef03ff24f00a1872a86d1d5cd8e9d9e009d7d

See more details on using hashes here.

File details

Details for the file Orange3_SingleCell-1.7.1-py3-none-any.whl.

File metadata

File hashes

Hashes for Orange3_SingleCell-1.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 399c03506770f100375ada39327647879512c28d0fbffecb9e9cfd4ec63d6dec
MD5 44804f43e5a730e2325f29d9e5eaa5df
BLAKE2b-256 c473eb9681758ee2937d3f153179f862d995b576197f4c807e3cc79b9e90b218

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page