Metabolomic Biomarker Identification in Presence of Outliers and Missing Values
Metabolomics is the sophisticated and high-throughput technology based on the entire set of metabolites which is known as the connector between genotypes and phenotypes. For any phenotypic changes, potential metabolite (biomarker) identification is very important because it provides diagnostic as we...
Main Authors: | Nishith Kumar, Md. Aminul Hoque, Md. Shahjaman, S. M. Shahinul Islam, Md. Nurul Haque Mollah |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2017-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2017/2437608 |
Similar Items
-
Robust volcano plot: identification of differential metabolites in the presence of outliers
by: Nishith Kumar, et al.
Published: (2018-04-01) -
A Robust Approach for Identification of Cancer Biomarkers and Candidate Drugs
by: Md. Shahjaman, et al.
Published: (2019-06-01) -
Kernel weighted least square approach for imputing missing values of metabolomics data
by: Nishith Kumar, et al.
Published: (2021-05-01) -
Robust Significance Analysis of Microarrays by Minimum β-Divergence Method
by: Md. Shahjaman, et al.
Published: (2017-01-01) -
Robustification of Naïve Bayes Classifier and Its Application for Microarray Gene Expression Data Analysis
by: Md. Shakil Ahmed, et al.
Published: (2017-01-01)