Classification methods for the analysis of LH-PCR data associated with inflammatory bowel disease patients

The human gut is one of the most densely populated microbial communities in the world. The interaction of microbes with human host cells is responsible for several disease conditions and of criticality to human health. It is imperative to understand the relationships between these microbial communit...

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Veröffentlicht in:	International journal of bioinformatics research and applications Jg. 11; H. 2; S. 111
Hauptverfasser:	Wisittipanit, Nuttachat, Rangwala, Huzefa, Sikaroodi, Masoumeh, Keshavarzian, Ali, Mutlu, Ece A, Gillevet, Patrick
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland 2015
Schlagworte:	Algorithms Bacteria - genetics Bacteria - isolation & purification Humans Inflammatory Bowel Diseases - microbiology Intestinal Mucosa - microbiology Microbiota - genetics Pattern Recognition, Automated - methods Polymerase Chain Reaction - methods Reproducibility of Results Sensitivity and Specificity Support Vector Machine length heterogeneity PCR IBD kNN K–nearest neighbour SVM classification machine learning inflammatory bowel disease human gut microbial abundance profile support vector machine human microbiome LH–PCR fingerprinting bioinformatics polymerase chain reaction
ISSN:	1744-5485
Online-Zugang:	Weitere Angaben
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