Published December 13, 2018
| Version 0.5.5
Software
Open
biocore/scikit-bio: scikit-bio 0.5.5: More compositional methods added
Authors/Creators
- Jai Ram Rideout
- Greg Caporaso
- Evan Bolyen
- Daniel McDonald1
- Yoshiki Vázquez Baeza2
- Jorge Cañardo Alastuey
- Anders Pitman
- Jamie Morton3
- Jose Navas3
- Kestrel Gorlick
- Justine Debelius
- Zech Xu4
- llcooljohn
- adamrp
- Joshua Shorenstein5
- Laurent Luce
- Will Van Treuren
- John Chase
- charudatta-navare
- Colin Brislawn6
- Antonio Gonzalez7
- Weronika Patena8
- Karen Schwarzberg
- teravest
- Jens Reeder
- shiffer1
- nbresnick
- Kevin Murray9
- alexbrc
- Karan Sharma10
- 1. UCSD - Dept. of Pediatrics
- 2. UC San Diego; Knight Laboratory
- 3. University of California, San Diego
- 4. UCSD
- 5. MUSE Biotechnology
- 6. @PNNL
- 7. Knight Lab
- 8. Carnegie Institution for Science
- 9. Australian National University (ANU) (@borevitzlab)
- 10. @zerodhatech
Description
We are very excited to announce scikit-bio 0.5.5. This is a minor release that adds a couple of compositional techniques under skbio.stats.composition namely the alr, and inverse alr transform in addition to easier construction of balance basis through sequential binary partitioning.
You can review the CHANGELOG.md for a complete description of the changes in this release. To learn about what you can do with scikit-bio, browse our API documentation.
Be sure to follow @scikitbio on twitter for project updates, and as always, thanks for your interest in scikit-bio!
Files
biocore/scikit-bio-0.5.5.zip
Files
(8.6 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/biocore/scikit-bio/tree/0.5.5 (URL)