A comprehensive survey on computational learning methods for analysis of gene expression data
Computational analysis methods including machine learning have a significant impact in the
fields of genomics and medicine. High-throughput gene expression analysis methods such …
fields of genomics and medicine. High-throughput gene expression analysis methods such …
Missing value imputation in DNA microarray gene expression data: a comparative study of an improved collaborative filtering method with decision tree based …
DNA microarray is used to study the expression levels of thousands of genes under various
conditions simultaneously. Unfortunately, microarray experiments can generate datasets …
conditions simultaneously. Unfortunately, microarray experiments can generate datasets …
A novel transfer learning-based missing value imputation on discipline diverse real test datasets—a comparative study with different machine learning algorithms
Intelligent systems are dependent on data. If they are fed with wrong and noisy data, the
results are erroneous too. Most of the cases, the data is not present in a favorable structured …
results are erroneous too. Most of the cases, the data is not present in a favorable structured …