Published April 6, 2020
| Version 1.0.0
Dataset
Open
MCMC data for A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection
Authors/Creators
- 1. Cambridge Centre for Proteomics
- 2. MRC Biostatistics Unit
- 3. de Duve Institute, UCLouvain,
Description
These are unprocessed Markov-chain Monte-Carlo datasets accompanying the manuscript "A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection"
Files
Files
(18.9 GB)
| Name | Size | |
|---|---|---|
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md5:b5035e67f9b6af24955a3d7dcff06ded
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871.7 MB | Download |
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md5:5bf98c040ced554c6c418c19f8affb3d
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890.0 MB | Download |
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md5:67a4e8fc97372391f534f3f42ff55dd2
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2.9 GB | Download |
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md5:583bb2be950ed0ae004f413b7fefdba3
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394.4 MB | Download |
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md5:039ec02ff0caba909d2b0510f25ef7dc
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828.6 MB | Download |
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md5:383851869f28ee4b45d68c72bb8aab37
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2.2 GB | Download |
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md5:b5b5bc2242847581e31a80ad423b8c70
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1.5 GB | Download |
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md5:3b165173985cfe8043bbe5440486f035
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2.1 GB | Download |
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md5:98c1ad03f3dc4007b45062fd7ae7d196
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1.5 GB | Download |
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md5:124e032001f34cd8843adb0ffc624745
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1.6 GB | Download |
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md5:a7e88812f5419d74da7532a925e3dee8
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4.1 GB | Download |