531 related articles for article (PubMed ID: 35932551)
1. Robust biomarker screening from gene expression data by stable machine learning-recursive feature elimination methods.
Li L; Ching WK; Liu ZP
Comput Biol Chem; 2022 Oct; 100():107747. PubMed ID: 35932551
[TBL] [Abstract][Full Text] [Related]
2. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
Zhang Y; Deng Q; Liang W; Zou X
Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Union With Recursive Feature Elimination: A Feature Selection Framework to Improve the Classification Performance of Multicategory Causes of Death in Colorectal Cancer.
Deng F; Zhao L; Yu N; Lin Y; Zhang L
Lab Invest; 2024 Mar; 104(3):100320. PubMed ID: 38158124
[TBL] [Abstract][Full Text] [Related]
5. Recursive Support Vector Machine Biomarker Selection for Alzheimer's Disease.
Zhang F; Petersen M; Johnson L; Hall J; O'Bryant SE
J Alzheimers Dis; 2021; 79(4):1691-1700. PubMed ID: 33492292
[TBL] [Abstract][Full Text] [Related]
6. Ensemble Feature Learning of Genomic Data Using Support Vector Machine.
Anaissi A; Goyal M; Catchpoole DR; Braytee A; Kennedy PJ
PLoS One; 2016; 11(6):e0157330. PubMed ID: 27304923
[TBL] [Abstract][Full Text] [Related]
7. Identifying novel transcript biomarkers for hepatocellular carcinoma (HCC) using RNA-Seq datasets and machine learning.
Gupta R; Kleinjans J; Caiment F
BMC Cancer; 2021 Aug; 21(1):962. PubMed ID: 34445986
[TBL] [Abstract][Full Text] [Related]
8. Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease.
Lee Y; Cappellato M; Di Camillo B
Gigascience; 2022 Dec; 12():. PubMed ID: 37882604
[TBL] [Abstract][Full Text] [Related]
9. Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.
Lin X; Li C; Zhang Y; Su B; Fan M; Wei H
Molecules; 2017 Dec; 23(1):. PubMed ID: 29278382
[TBL] [Abstract][Full Text] [Related]
10. Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.
Adamidi ES; Mitsis K; Nikita KS
Comput Struct Biotechnol J; 2021; 19():2833-2850. PubMed ID: 34025952
[TBL] [Abstract][Full Text] [Related]
11. Recursive SVM biomarker selection for early detection of breast cancer in peripheral blood.
Zhang F; Kaufman HL; Deng Y; Drabier R
BMC Med Genomics; 2013; 6 Suppl 1(Suppl 1):S4. PubMed ID: 23369435
[TBL] [Abstract][Full Text] [Related]
12. Feature selection for global tropospheric ozone prediction based on the BO-XGBoost-RFE algorithm.
Zhang B; Zhang Y; Jiang X
Sci Rep; 2022 Jun; 12(1):9244. PubMed ID: 35655087
[TBL] [Abstract][Full Text] [Related]
13. Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods.
Taghizadeh E; Heydarheydari S; Saberi A; JafarpoorNesheli S; Rezaeijo SM
BMC Bioinformatics; 2022 Oct; 23(1):410. PubMed ID: 36183055
[TBL] [Abstract][Full Text] [Related]
14. A Study on ML-Based Software Defect Detection for Security Traceability in Smart Healthcare Applications.
Mcmurray S; Sodhro AH
Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050529
[TBL] [Abstract][Full Text] [Related]
15. A Machine Learning-Based Analytic Pipeline Applied to Clinical and Serum IgG Immunoproteome Data To Predict Chlamydia trachomatis Genital Tract Ascension and Incident Infection in Women.
Liu C; Mokashi NV; Darville T; Sun X; O'Connell CM; Hufnagel K; Waterboer T; Zheng X
Microbiol Spectr; 2023 Aug; 11(4):e0468922. PubMed ID: 37318345
[TBL] [Abstract][Full Text] [Related]
16. Recursive cluster elimination (RCE) for classification and feature selection from gene expression data.
Yousef M; Jung S; Showe LC; Showe MK
BMC Bioinformatics; 2007 May; 8():144. PubMed ID: 17474999
[TBL] [Abstract][Full Text] [Related]
17. Precision healthcare: A deep dive into machine learning algorithms and feature selection strategies for accurate heart disease prediction.
Islam MA; Majumder MZH; Miah MS; Jannaty S
Comput Biol Med; 2024 Jun; 176():108432. PubMed ID: 38744014
[TBL] [Abstract][Full Text] [Related]
18. A balanced iterative random forest for gene selection from microarray data.
Anaissi A; Kennedy PJ; Goyal M; Catchpoole DR
BMC Bioinformatics; 2013 Aug; 14():261. PubMed ID: 23981907
[TBL] [Abstract][Full Text] [Related]
19. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
20. Effective hybrid feature selection using different bootstrap enhances cancers classification performance.
Abdelwahed NM; El-Tawel GS; Makhlouf MA
BioData Min; 2022 Sep; 15(1):24. PubMed ID: 36175944
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]