Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle

Gram-negative bacteria such as Escherichia coli (E. coli) are assumed to be among the main agents that cause severe mastitis disease with clinical signs in dairy cattle. Rapid detection of this disease is so important in order to prevent transmission to other cows and helps to reduce inappropriate u...

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Vydané v:	PloS one Ročník 13; číslo 2; s. e0191227
Hlavní autori:	Sharifi, Somayeh, Pakdel, Abbas, Ebrahimi, Mansour, Reecy, James M., Fazeli Farsani, Samaneh, Ebrahimie, Esmaeil
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 22.02.2018 Public Library of Science (PLoS)
Predmet:	Algorithms Analysis Animal sciences Animals Antibiotics Antimicrobial agents Apoptosis Artificial intelligence Bacteria Bioindicators Biology and Life Sciences Biomarkers Cattle Causes of CCL20 protein Computer and Information Sciences Cytokines Dairy cattle Data mining Data Mining - statistics & numerical data Data processing Databases, Genetic Datasets Decision Trees Diagnosis Disease Disease transmission DNA microarrays DNA-directed RNA polymerase E coli Engineering and Technology Escherichia coli Escherichia coli - genetics Escherichia coli Infections - genetics Escherichia coli Infections - veterinary Female Gene expression Gene Expression Profiling - statistics & numerical data Gene regulation Genes Genetic aspects Gram-negative bacteria Health aspects Hypoxia Immune response Immune system Information technology Interleukin 8 Learning algorithms Machine Learning Mammary gland Mastitis Mastitis, Bovine - genetics Mastitis, Bovine - microbiology Medical treatment Medicine and Health Sciences Meta-analysis Meta-Analysis as Topic Milk Oligonucleotide Array Sequence Analysis - statistics & numerical data Physical Sciences Proteins Repositories Research and Analysis Methods Ribonucleic acid RNA RNA polymerase II Staphylococcus aureus Statistical analysis Studies Transcription Transcriptome Weighting Zoology Australia Iowa Iran United States > US South Australia Australia
ISSN:	1932-6203, 1932-6203
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