scFeatures

'scFeatures' is an R package designed to provide interpretable representations of single-cell and spatial data at the sample level, making it easier to extract insights from large-scale single-cell studies and accurately classify disease status in individuals. It aims to summarize various features to create meaningful representations of cellular and molecular characteristics within different experimental contexts, helping researchers understand underlying disease mechanisms

Topic

Pathology;Cell biology;Bioinformatics

Detail

  • Operation: Formatting, Enrichment analysis

  • Software interface: Command-line user interface, Library

  • Language: R

  • License: Not stated

  • Cost: Free

  • Version name: 0.99.27

  • Credit: Australia National Health and Medical Research Council (NHMRC) Investigator Grant, AIR@innoHK programme of the Innovation and Technology Commission of Hong Kong, Australia NHMRC Career Developmental Fellowship, Australian Research Council Discovery Early Career Researcher Award by the Australian Government, University of Sydney Postgraduate Award Stipend Scholarship, Chen Family Research Scholarship.

  • Input: -

  • Output: -

  • Contact: jean.yang@sydney.edu.au, pengyi.yang@sydney.edu.au

  • Collection: -

  • Maturity: -

Publications

  • scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction.
  • Cao Y, et al. scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction. scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction. 2022; 38:4745-4753. doi: 10.1093/bioinformatics/btac590
  • https://doi.org/10.1093/BIOINFORMATICS/BTAC590
  • PMID: 36040148
  • PMC: PMC9563679

Download and documentation

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