Book chapter
Joint Analysis of Functional and Phylogenetic Composition for Human Microbiome Data
Bioinformatics Research and Applications, pp 346-356
2014
Abstract
With the advance of high-throughput sequencing technology, it is possible to investigate many complex biological and ecological systems. The objective of Human Microbiome Project (HMP) is to explore the microbial diversity in our human body and to provide experimental and computational standards for subsequent similar studies. The first-stage HMP generated a lot of data for computational analysis and provided a challenge for integration and interpretation of various microbiome data. In this paper, we introduce a data integration method –Laplacian-regularized Joint Non-negative Matrix Factorization (LJ-NMF) for analyzing functional and phylogenetic profiles from HMP jointly. The experimental results indicate that the proposed method offers an efficient framework for microbiome data analysis.
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3 citations in Scopus
Details
- Title
- Joint Analysis of Functional and Phylogenetic Composition for Human Microbiome Data
- Creators
- Xingpeng Jiang - Drexel UniversityXiaohua Hu - Drexel UniversityWeiwei Xu - Wuhan UniversityXuezhi Jiang - Obstetrics and Gynecology
- Publication Details
- Bioinformatics Research and Applications, pp 346-356
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science; Obstetrics and Gynecology
- Scopus ID
- 2-s2.0-84958544430
- Other Identifier
- 991019173458504721