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Topics · Methods · Modelling and inference

Component analysis and signal separation

Work on decomposing data or signals into components, such as independent component analysis, blind source separation, sparse coding, matrix factorisation and subspace methods, including their theory. Not for a principal component analysis used only to plot data.

In Methods › Modelling and inference111 works1 person4 toolsMathematical foundations

The map of publications with the 111 works under Component analysis and signal separation drawn large in the colour of their first topic's group.111 of 743 works marked · data synced 7 Nov 2026

People1

  • Fabian Theis

    Principal investigator

    Single-cell genomics · Perturbation responses · Bulk omics and genetics

Publications111

In the publication list
  1. Bulk omics and genetics
  2. Deep learning and generative models
  3. Benchmarks and best practices
  4. Deep learning and generative models
  5. Bulk omics and genetics
  6. Bulk omics and genetics
  7. Deep learning and generative models
  8. Single-cell genomics
  9. Imaging
  10. Component analysis and signal separation
  11. Component analysis and signal separation
  12. Cell fate and dynamics
  13. Single-cell genomics
  14. Component analysis and signal separation
  15. Component analysis and signal separation
  16. Single-cell genomics
  17. Statistical inference
  18. Component analysis and signal separation
  19. Component analysis and signal separation
  20. Component analysis and signal separation
  21. Component analysis and signal separation
  22. Component analysis and signal separation
  23. Bulk omics and genetics
  24. Component analysis and signal separation
  25. Component analysis and signal separation
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  38. Imaging
  39. Component analysis and signal separation
  40. Component analysis and signal separation
  41. Component analysis and signal separation
  42. Imaging
  43. Component analysis and signal separation
  44. Component analysis and signal separation
  45. Component analysis and signal separation
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  77. Imaging
  78. Component analysis and signal separation
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  92. Imaging
  93. Component analysis and signal separation
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  96. Imaging
  97. Component analysis and signal separation
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  104. Immunity and inflammation
  105. Component analysis and signal separation
  106. Component analysis and signal separation
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  111. Component analysis and signal separation

Software4

  • destiny

    R package for single cell and other data analysis using diffusion maps

    114R

  • DRVI

    Unsupervised Deep Disentangled Representation of Single-Cell Omics

    83v0.2.824 d agoPython

  • deconvATAC

    Spatial transcriptomics deconvolution methods generalize well to spatial chromatin accessibility data

    6Jupyter Notebook