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Releases: KrishnaswamyLab/phateR

phateR v1.0.4

08 Jun 22:19
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Merge pull request #46 from KrishnaswamyLab/dev

phateR v1.0.4

phateR v0.4.1

26 Apr 16:45
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Changeset:

  • reinstate use.alpha parameter for Seurat compatibility.

phateR 0.4.0

12 Apr 21:59
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Changeset:

  • updated parameters k -> knn, alpha -> decay to match Python version
  • better handling of load errors
  • added FAQ to README

phateR v0.2.8

09 Jul 15:51
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phateR v0.2.8 replaces the potential.method parameter with gamma to match Python PHATE v0.2.8.

Use gamma=1 (default) for the log potential, gamma=0 for the square root potential. Valid values of gamma are between -1 and 1.

phateR v0.2.7

01 Jun 04:15
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Bugfix resolves issues with reticulate passing NA to Python as True.

PHATE 2.5 (Fast scalable PHATE, run from Python)

22 May 22:46
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PHATE now calls the much faster code written in Python to perform dimensionality reduction using the reticulate package. PHATE must be installed in both Python and R in order to use the R code.

Other changes:

  • precomputed distance matrices are now accepted, with phate(data=distances, knn.dist.method="precomputed")
  • precomputed affinity matrices must be provided in the same way, with phate(data=affinities, knn.dist.method="precomputed"), rather than via g.kernel.
  • multiprocessing is supported - call phate(..., n.jobs=5) to use 5 cores or phate(..., n.jobs = -1) to use all available.