139 related articles for article (PubMed ID: 30887013)
1. An Ensemble Feature Selection Method for Biomarker Discovery.
Shahrjooihaghighi A; Frigui H; Zhang X; Wei X; Shi B; Trabelsi A
Proc IEEE Int Symp Signal Proc Inf Tech; 2017 Dec; 2017():416-421. PubMed ID: 30887013
[TBL] [Abstract][Full Text] [Related]
2. A two-stage hybrid biomarker selection method based on ensemble filter and binary differential evolution incorporating binary African vultures optimization.
Li W; Chi Y; Yu K; Xie W
BMC Bioinformatics; 2023 Apr; 24(1):130. PubMed ID: 37016297
[TBL] [Abstract][Full Text] [Related]
3. Stable feature selection based on the ensemble L
Moon M; Nakai K
BMC Genomics; 2016 Dec; 17(Suppl 13):1026. PubMed ID: 28155664
[TBL] [Abstract][Full Text] [Related]
4. Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data.
Budhraja S; Doborjeh M; Singh B; Tan S; Doborjeh Z; Lai E; Merkin A; Lee J; Goh W; Kasabov N
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37889118
[TBL] [Abstract][Full Text] [Related]
5. A critical assessment of feature selection methods for biomarker discovery in clinical proteomics.
Christin C; Hoefsloot HC; Smilde AK; Hoekman B; Suits F; Bischoff R; Horvatovich P
Mol Cell Proteomics; 2013 Jan; 12(1):263-76. PubMed ID: 23115301
[TBL] [Abstract][Full Text] [Related]
6. Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery.
Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A;
BMC Bioinformatics; 2023 Jan; 24(1):9. PubMed ID: 36624372
[TBL] [Abstract][Full Text] [Related]
7. Robustness of chemometrics-based feature selection methods in early cancer detection and biomarker discovery.
Lee HW; Lawton C; Na YJ; Yoon S
Stat Appl Genet Mol Biol; 2013 Mar; 12(2):207-23. PubMed ID: 23502343
[TBL] [Abstract][Full Text] [Related]
8. Robust biomarker discovery for hepatocellular carcinoma from high-throughput data by multiple feature selection methods.
Zhang Z; Liu ZP
BMC Med Genomics; 2021 Aug; 14(Suppl 1):112. PubMed ID: 34433487
[TBL] [Abstract][Full Text] [Related]
9. Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients.
Ntakolia C; Kokkotis C; Moustakidis S; Tsaopoulos D
Int J Med Inform; 2021 Dec; 156():104614. PubMed ID: 34662820
[TBL] [Abstract][Full Text] [Related]
10. Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data.
Wang A; Liu H; Yang J; Chen G
Comput Biol Med; 2022 Mar; 142():105208. PubMed ID: 35016102
[TBL] [Abstract][Full Text] [Related]
11. LANDMark: an ensemble approach to the supervised selection of biomarkers in high-throughput sequencing data.
Rudar J; Porter TM; Wright M; Golding GB; Hajibabaei M
BMC Bioinformatics; 2022 Mar; 23(1):110. PubMed ID: 35361114
[TBL] [Abstract][Full Text] [Related]
12. [Research progress of feature selection and machine learning methods for mass spectrometry-based protein biomarker discovery].
Xu K; Han M; Huang C; Chang C; Zhu Y
Sheng Wu Gong Cheng Xue Bao; 2019 Sep; 35(9):1619-1632. PubMed ID: 31559744
[TBL] [Abstract][Full Text] [Related]
13. Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach.
Neumann U; Riemenschneider M; Sowa JP; Baars T; Kälsch J; Canbay A; Heider D
BioData Min; 2016; 9():36. PubMed ID: 27891179
[TBL] [Abstract][Full Text] [Related]
14. Feature Selection Methods for Early Predictive Biomarker Discovery Using Untargeted Metabolomic Data.
Grissa D; Pétéra M; Brandolini M; Napoli A; Comte B; Pujos-Guillot E
Front Mol Biosci; 2016; 3():30. PubMed ID: 27458587
[TBL] [Abstract][Full Text] [Related]
15. R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification.
Bania RK; Halder A
Artif Intell Med; 2021 Apr; 114():102049. PubMed ID: 33875164
[TBL] [Abstract][Full Text] [Related]
16. Predicting the Cognitive Ability of Young Women Using a New Feature Selection Algorithm.
Arzehgar A; Davarinia F; Ferns GA; Hakimi A; Bahrami A
J Mol Neurosci; 2023 Aug; 73(7-8):678-691. PubMed ID: 37581703
[TBL] [Abstract][Full Text] [Related]
17. A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace.
Wang X; Hu T; Tang L
IEEE Trans Neural Netw Learn Syst; 2022 May; 33(5):2080-2093. PubMed ID: 33661737
[TBL] [Abstract][Full Text] [Related]
18. R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data.
Bania RK; Halder A
Comput Methods Programs Biomed; 2020 Feb; 184():105122. PubMed ID: 31622857
[TBL] [Abstract][Full Text] [Related]
19. An ensemble machine learning model based on multiple filtering and supervised attribute clustering algorithm for classifying cancer samples.
Bose S; Das C; Banerjee A; Ghosh K; Chattopadhyay M; Chattopadhyay S; Barik A
PeerJ Comput Sci; 2021; 7():e671. PubMed ID: 34616883
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]