NDLI: Analysis of Microbiome Data across Inflammatory Bowel Disease Patients

Content Provider	IEEE Xplore Digital Library
Author	Wisittipanit, N. Rangwala, H. Gillevet, P.
Copyright Year	2011
Abstract	The interaction and inter-play of microbes with human host cells is responsible for several disease conditions and of criticality to human health. In this study we analyze the microbial communities within the human gut and their roles in Inflammatory Bowel Disease (IBD). These microbial communities can be profiled using either Length Heterogeneity PCR (LH-PCR) or small subunit (SSU) rRNA sequences. Classification methods based on support vector machines (SVM) and k-nearest neighbor (KNN) were developed to differentiate between healthy controls and IBD patients at various intestinal locations using those profiles. The results show that there exist significant operational taxonomic units (OTUs) or microbial species that are differentially abundant between IBD and healthy control state at specific intestinal locations. Moreover, the classification performances of the sequence data outperform those of LH-PCR profiles and the lowest taxonomic level (Genus-Species) is more likely to have superior classification performances than the higher taxonomic levels.
Starting Page	200
Ending Page	205
File Size	310579
Page Count	6
File Format	PDF
ISBN	9781457721342
DOI	10.1109/ICMLA.2011.35
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans K-Nearest Neighbor Classification algorithms Support Vector Machine Machine Learning Diseases Support vector machines Human microbiome Microbial abundance profile Accuracy Colon Inflammatory Bowel Disease Kernel
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A modified algorithm for Support Vector Machine

A Fast Incremental Learning Algorithm for SVM Based on K Nearest Neighbors

Nearest neighbor classification using bottom-k sketches

An incremental algorithm of support vector machine based on distance ratio and k nearest neighbor

Histogram-based classification of iPSC colony images using machine learning methods

A Spectral Kernel Learning Algorithm for Classification

Ensemble learning approach in improved K Nearest Neighbor algorithm for Text categorization

Study of Informative Gene Selection for Gene Expression Profiles

A hybrid algorithm of minimum spanning tree and nearest neighbor for classifying human cancers

Analysis of Microbiome Data across Inflammatory Bowel Disease Patients

Similar Documents

A modified algorithm for Support Vector Machine

A Fast Incremental Learning Algorithm for SVM Based on K Nearest Neighbors

Nearest neighbor classification using bottom-k sketches

An incremental algorithm of support vector machine based on distance ratio and k nearest neighbor

Histogram-based classification of iPSC colony images using machine learning methods

A Spectral Kernel Learning Algorithm for Classification

Ensemble learning approach in improved K Nearest Neighbor algorithm for Text categorization

Study of Informative Gene Selection for Gene Expression Profiles

A hybrid algorithm of minimum spanning tree and nearest neighbor for classifying human cancers

Analysis of Microbiome Data across Inflammatory Bowel Disease Patients