Topics · Methods · Modelling and inference

Networks and graphs

Work that studies networks or graphs as such, such as their structure, clustering, reconstruction from data or dynamics, including Boolean networks and graph theory. Not for a regulatory network studied only for its biology, or for neural networks in machine learning.

In Methods › Modelling and inference69 works1 person4 toolsMathematical foundations

The map of publications with the 69 works under Networks and graphs drawn large in the colour of their first topic's group.69 of 743 works marked · data synced 7 Nov 2026

People1

  • Fabian Theis

    Principal investigator

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

  1. Topic: Open-source software
  2. Topic: Immunity and inflammation
  3. Topic: Deep learning and generative models
  4. Topic: Spatial omics
  5. Topic: Networks and graphs
  6. Topic: Bulk omics and genetics
  7. Topic: Bulk omics and genetics
  8. Topic: Networks and graphs
  9. Topic: Spatial omics
  10. Topic: Perturbation responses
  11. Topic: Single-cell genomics
  12. Topic: Brain and mental health
  13. Topic: Networks and graphs
  14. Topic: Single-cell genomics
  15. Topic: Networks and graphs
  16. Topic: Gene regulation
  17. Topic: Mechanistic modelling
  18. Topic: Mechanistic modelling
  19. Topic: Metabolism and diabetes
  20. Topic: Data integration
  21. Topic: Gene regulation
  22. Topic: Mechanistic modelling
  23. Topic: Bulk omics and genetics
  24. Topic: Bulk omics and genetics
  25. Topic: Cell fate and dynamics
  26. Topic: Bulk omics and genetics
  27. Topic: Gene regulation
  28. Topic: Bulk omics and genetics
  29. Topic: Component analysis and signal separation
  30. Topic: Mechanistic modelling
  31. Topic: Metabolism and diabetes
  32. Topic: Gene regulation
  33. Topic: Networks and graphs
  34. Topic: Networks and graphs
  35. Topic: Component analysis and signal separation
  36. Topic: Bulk omics and genetics
  37. Topic: Bulk omics and genetics
  38. Topic: Networks and graphs
  39. Topic: Cell fate and dynamics
  40. Topic: Networks and graphs
  41. Topic: Cell fate and dynamics
  42. Topic: Gene regulation
  43. Topic: Statistical inference
  44. Topic: Networks and graphs
  45. Topic: Networks and graphs
  46. Topic: Gene regulation
  47. Topic: Gene regulation
  48. Topic: Metabolism and diabetes
  49. Topic: Networks and graphs
  50. Topic: Mechanistic modelling
  51. Topic: Component analysis and signal separation
  52. Topic: Networks and graphs
  53. Topic: Networks and graphs
  54. Topic: Networks and graphs
  55. Topic: Gene regulation
  56. Topic: Mechanistic modelling
  57. Topic: Mechanistic modelling
  58. Topic: Mechanistic modelling
  59. Topic: Component analysis and signal separation
  60. Topic: Mechanistic modelling
  61. Topic: Mechanistic modelling
  62. Topic: Mechanistic modelling
  63. Topic: Networks and graphs
  64. Topic: Networks and graphs
  65. Topic: Networks and graphs
  66. Topic: Networks and graphs
  67. Topic: Networks and graphs
  68. Topic: Mechanistic modelling
  69. Topic: Networks and graphs

Software4

  • Squidpy

    Spatial Single Cell Analysis in Python

    612v1.8.49 d agoPython

  • graphcompass

    GraphCompass: Graph Comparison Tools for Differential Analyses in Spatial Systems

    39Jupyter Notebook

  • geome

    17v0.0.38 mo agoPython