Assessment of Imputation Methods for Missing Gene Expression Data in Meta-Analysis of DistinctCohorts of Tuberculosis Patients.
Carly A. BobakLauren McDonnellMatthew D. NemesureJustin LinJane E. HillPublished in: PSB (2020)
Keyphrases
- meta analysis
- gene expression data
- microarray data
- missing values
- gene expression profiles
- imputation methods
- missing data
- microarray
- gene expression
- high dimensional data
- gene selection
- data sets
- incomplete data
- gene regulatory networks
- cancer classification
- high dimensionality
- analysis of gene expression data
- dna microarray
- high throughput
- high dimensional
- feature selection
- regulatory networks
- gene expression analysis
- quality assessment
- cancer diagnosis
- gene expression datasets
- breast cancer
- k nearest neighbor
- microarray datasets
- neural network
- literature review
- nearest neighbor
- knn
- data analysis