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Mendeley readers
| Title |
An improved dimensionality reduction method for meta-transcriptome indexing based diseases classification
|
|---|---|
| Published in |
BMC Systems Biology, December 2012
|
| DOI | 10.1186/1752-0509-6-s3-s12 |
| Pubmed ID | |
| Authors |
Yin Wang, Yuhua Zhou, Yixue Li, Zongxin Ling, Yan Zhu, Xiaokui Guo, Hong Sun |
| Abstract |
Bacterial 16S Ribosomal RNAs profiling have been widely used in the classification of microbiota associated diseases. Dimensionality reduction is among the keys in mining high-dimensional 16S rRNAs' expression data. High levels of sparsity and redundancy are common in 16S rRNA gene microbial surveys. Traditional feature selection methods are generally restricted to measuring correlated abundances, and are limited in discrimination when so few microbes are actually shared across communities. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 20% |
| Student > Master | 7 | 17% |
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Postgraduate | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 11 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 20% |
| Agricultural and Biological Sciences | 6 | 15% |
| Computer Science | 6 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Environmental Science | 1 | 2% |
| Other | 6 | 15% |
| Unknown | 11 | 27% |