Data

Tools

Indexes

Applications

Experiments

Papers

Papers: 10.1371/journal.pone.0246287

https://doi.org/10.1371/journal.pone.0246287

Machine learning predicts and provides insights into milk acidification rates of Lactococcus lactis

Cited by: 6
Author(s): Signe Tang Karlsen, Tammi Camilla Vesth, Gunnar Øregaard, Vera Kuzina Poulsen, Ole Lund, Gemma Henderson, Jacob Bælum
Published: over 5 years ago

Software Mentions 2

cran: fasta
Fast Adaptive Shrinkage/Thresholding Algorithm
Papers that mentioned: 848
Very Likely Science (60)
pypi: fasta
The fasta python package enables you to deal with biological sequence files easily.
Papers that mentioned: 848
Very Likely Science (80)