Table 6 List of the reviewed papers
From: Feature selection methods and genomic big data: a systematic review
Publication repository | Type | Title | Year | Classification |
|---|---|---|---|---|
IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) | Conference | Minimal-redundancy-maximal-relevance feature selection using different relevance measures for omics data classification [18] | 2013 | Evaluation |
IEEE International Conference on Big Data | Conference | Identification of SNP Interactions Using Data-Parallel Primitives on GPUs [41] | 2014 | Solution |
Elsevier—Procedia Computer Science | Conference | Large Scale Read Classification for Next Generation Sequencing [39] | 2014 | Evaluation |
IEEE International Symposium on Technologies for Homeland Security (HST) | Conference | Big Data Biology-Based Predictive Models Via DNAMetagenomics Binning For WMD Events Applications [24] | 2015 | Evaluation |
IEEE International Congress on Big Data | Conference | Two screening methods for genetic association study with application to psoriasis microarray data sets [33] | 2015 | Solution |
Elsevier—Procedia Computer Science | Conference | A Novel Feature Selection Technique for Improved Survivability Diagnosis of Breast Cancer [25] | 2015 | Solution |
Elsevier—Procedia Computer Science | Conference | Feature Selection and Classification of Microarray Data using MapReduce based ANOVA and K-Nearest Neighbor [44] | 2015 | Evaluation |
Elsevier—Knowledge-Based Systems | Journal | Classification of microarray using MapReduce based proximal support vector machine classifier [26] | 2015 | Solution |
Elsevier—Journal of Computational Science | Journal | Large-scale machine learning based on functional networks for biomedical big data with high performance computing platforms [46] | 2015 | Solution |
Elsevier—Knowledge-Based Systems | Journal | ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem [32] | 2015 | Solution |
IEEE/ACM Transactions On Computational Biology And Bioinformatics | Journal | MINT: Mutual Information based Transductive Feature election for Genetic Trait Prediction [20] | 2015 | Solution |
IEEE Future Technologies Conference | Conference | A Feature Grouping Method for Ensemble Clustering of High-Dimensional Genomic Big Data [38] | 2016 | Solution |
Elsevier—Expert Systems With Applications | Journal | An adaptive rule-based classifier for mining big biological data [45] | 2016 | Solution |
Elsevier—Journal of Biomedical Informatics | Journal | Analysis of microarray leukemia data using an efficient MapReduce-based K-nearest-neighbor classifier [27] | 2016 | Solution |
Elsevier—Neurocomputing | Journal | Prediction of protein N-formylation and comparison with N-acetylation based on a feature selection method [31] | 2016 | Evaluation |
IEEE Transactions On Big Data Journal | Journal | Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers [40] | 2017 | Solution |
IEEE Digital Genomics to Build a Smart Franchise in Real Time Applications | Conference | Digital Genomics to Build a Smart Franchise in Real Time Applications [17] | 2017 | Opinion |
IEEE 33rd International Conference on Data Engineering | Conference | Integrated Theory- and Data-driven Feature Selection in Gene Expression Data Analysis [42] | 2017 | Solution |
Elsevier—Artificial Intelligence In Medicine | Journal | A hybrid framework for reverse engineering of robust Gene Regulatory Networks [35] | 2017 | Solution |
Elsevier—Computers in Biology and Medicine | Journal | FIFS: A data mining method for informative marker selection in high dimensional population genomic data [23] | 2017 | Solution |
Elsevier—Information Systems | Journal | MR-SimLab: Scalable subgraph selection with label similarity for big data [47] | 2017 | Solution |
Elsevier—Methods | Journal | Multi-omics facilitated variable selection in Cox-regression model for cancer prognosis prediction [29] | 2017 | Evaluation |
Springer | Journal | A greedy feature selection algorithm for Big Data of high dimensionality [19] | 2018 | Solution |
Springer—The Natural Computing Applications Forum | Conference | Optimized feature selection algorithm based on fireflies with gravitational ant colony algorithm for big data predictive analytics [43] | 2018 | Solution |
Elsevier—Materials today Proceedings | Conference | Efficient Decision Tree Based Data Selection and Support Vector Machine Classification [34] | 2018 | Solution |
Elsevier—Schizophrenia Research | Journal | Analysis of gut microbiota diversity and auxiliary diagnosis as a biomarker in patients with schizophrenia: A cross-sectional study [21] | 2018 | Evaluation |
Elsevier—BBA-Molecular Basis of Disease | Journal | Distinguishing three subtypes of hematopoietic cells based on gene expression profiles using a support vector machine [28] | 2018 | Evaluation |
Elsevier—BBA-Molecular Basis of Disease | Journal | Predicting and analyzing early wake-up associated gene expressions by integrating GWAS and eQTL studies [30] | 2018 | Evaluation |
Elsevier—Future Generation Computer Systems | Journal | Feature selection for IoT based on maximal information coefficient [22] | 2018 | Solution |
Elsevier—European Journal of Operational Research | Journal | High dimensional data classification and feature selection using support vector machines [36] | 2018 | Solution |
Elsevier—BBA-Molecular Basis of Disease | Journal | Identification of the functional alteration signatures across different cancer types with support vector machine and feature analysis [37] | 2018 | Evaluation |