263 related articles for article (PubMed ID: 29096382)
1. A novel approach for dimension reduction of microarray.
Aziz R; Verma CK; Srivastava N
Comput Biol Chem; 2017 Dec; 71():161-169. PubMed ID: 29096382
[TBL] [Abstract][Full Text] [Related]
2. Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.
Alshamlan HM; Badr GH; Alohali YA
Comput Biol Chem; 2015 Jun; 56():49-60. PubMed ID: 25880524
[TBL] [Abstract][Full Text] [Related]
3. mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling.
Alshamlan H; Badr G; Alohali Y
Biomed Res Int; 2015; 2015():604910. PubMed ID: 25961028
[TBL] [Abstract][Full Text] [Related]
4. Cuckoo Search-Based Optimization for Cancer Classification: A New Hybrid Approach.
Aziz RM
J Comput Biol; 2022 Jun; 29(6):565-584. PubMed ID: 35527646
[TBL] [Abstract][Full Text] [Related]
5. Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data.
Aziz RM
Med Biol Eng Comput; 2022 Jun; 60(6):1627-1646. PubMed ID: 35399141
[TBL] [Abstract][Full Text] [Related]
6. Hybrid Feature Selection Algorithm mRMR-ICA for Cancer Classification from Microarray Gene Expression Data.
Wang S; Kong W; Aorigele ; Deng J; Gao S; Zeng W
Comb Chem High Throughput Screen; 2018; 21(6):420-430. PubMed ID: 29852866
[TBL] [Abstract][Full Text] [Related]
7. Development of a two-stage gene selection method that incorporates a novel hybrid approach using the cuckoo optimization algorithm and harmony search for cancer classification.
Elyasigomari V; Lee DA; Screen HR; Shaheed MH
J Biomed Inform; 2017 Mar; 67():11-20. PubMed ID: 28163197
[TBL] [Abstract][Full Text] [Related]
8. Improved intelligent water drop-based hybrid feature selection method for microarray data processing.
Alhenawi E; Al-Sayyed R; Hudaib A; Mirjalili S
Comput Biol Chem; 2023 Apr; 103():107809. PubMed ID: 36696844
[TBL] [Abstract][Full Text] [Related]
9. Co-ABC: Correlation artificial bee colony algorithm for biomarker gene discovery using gene expression profile.
Alshamlan HM
Saudi J Biol Sci; 2018 Jul; 25(5):895-903. PubMed ID: 30108438
[TBL] [Abstract][Full Text] [Related]
10. Classification of Medical Datasets Using SVMs with Hybrid Evolutionary Algorithms Based on Endocrine-Based Particle Swarm Optimization and Artificial Bee Colony Algorithms.
Lin KC; Hsieh YH
J Med Syst; 2015 Oct; 39(10):306. PubMed ID: 26289628
[TBL] [Abstract][Full Text] [Related]
11. A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data.
Aziz R; Verma CK; Srivastava N
Genom Data; 2016 Jun; 8():4-15. PubMed ID: 27081632
[TBL] [Abstract][Full Text] [Related]
12. A Novel Breast Cancer Diagnosis Scheme With Intelligent Feature and Parameter Selections.
Punitha S; Stephan T; Gandomi AH
Comput Methods Programs Biomed; 2022 Feb; 214():106432. PubMed ID: 34844767
[TBL] [Abstract][Full Text] [Related]
13. Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms.
Nguyen H; Choi Y; Bui XN; Nguyen-Thoi T
Sensors (Basel); 2019 Dec; 20(1):. PubMed ID: 31878226
[TBL] [Abstract][Full Text] [Related]
14. Multiple sequence alignment using multi-objective based bacterial foraging optimization algorithm.
Rani RR; Ramyachitra D
Biosystems; 2016 Dec; 150():177-189. PubMed ID: 27784624
[TBL] [Abstract][Full Text] [Related]
15. A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems.
Shan H; Yasuda T; Ohkura K
Biosystems; 2015 Jun; 132-133():43-53. PubMed ID: 25982071
[TBL] [Abstract][Full Text] [Related]
16. A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization.
Vafaee Sharbaf F; Mosafer S; Moattar MH
Genomics; 2016 Jun; 107(6):231-8. PubMed ID: 27154739
[TBL] [Abstract][Full Text] [Related]
17. A novel feature selection approach for biomedical data classification.
Peng Y; Wu Z; Jiang J
J Biomed Inform; 2010 Feb; 43(1):15-23. PubMed ID: 19647098
[TBL] [Abstract][Full Text] [Related]
18. DQB: A novel dynamic quantitive classification model using artificial bee colony algorithm with application on gene expression profiles.
Alshamlan HM
Saudi J Biol Sci; 2018 Jul; 25(5):932-946. PubMed ID: 30108444
[TBL] [Abstract][Full Text] [Related]
19. Identifying (Quasi) Equally Informative Subsets in Feature Selection Problems for Classification: A Max-Relevance Min-Redundancy Approach.
Karakaya G; Galelli S; Ahipasaoglu SD; Taormina R
IEEE Trans Cybern; 2016 Jun; 46(6):1424-37. PubMed ID: 26151949
[TBL] [Abstract][Full Text] [Related]
20. An efficient statistical feature selection approach for classification of gene expression data.
Chandra B; Gupta M
J Biomed Inform; 2011 Aug; 44(4):529-35. PubMed ID: 21241823
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]