Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle.
Sharifi, Somayeh
Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle. [electronic resource] - PloS one 2018 - e0191227 p. digital
Publication Type: Journal Article
1932-6203
10.1371/journal.pone.0191227 doi
Algorithms
Animals
Cattle
Data Mining--statistics & numerical data
Databases, Genetic
Decision Trees
Escherichia coli--genetics
Escherichia coli Infections--genetics
Female
Gene Expression Profiling--statistics & numerical data
Machine Learning
Mastitis, Bovine--genetics
Meta-Analysis as Topic
Oligonucleotide Array Sequence Analysis--statistics & numerical data
Transcriptome
Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle. [electronic resource] - PloS one 2018 - e0191227 p. digital
Publication Type: Journal Article
1932-6203
10.1371/journal.pone.0191227 doi
Algorithms
Animals
Cattle
Data Mining--statistics & numerical data
Databases, Genetic
Decision Trees
Escherichia coli--genetics
Escherichia coli Infections--genetics
Female
Gene Expression Profiling--statistics & numerical data
Machine Learning
Mastitis, Bovine--genetics
Meta-Analysis as Topic
Oligonucleotide Array Sequence Analysis--statistics & numerical data
Transcriptome