510 related articles for article (PubMed ID: 37530887)
1. Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture.
Kishore A; Venkataramana L; Prasad DVV; Mohan A; Jha B
Med Biol Eng Comput; 2023 Nov; 61(11):2895-2919. PubMed ID: 37530887
[TBL] [Abstract][Full Text] [Related]
2. Machine learning and deep learning methods that use omics data for metastasis prediction.
Albaradei S; Thafar M; Alsaedi A; Van Neste C; Gojobori T; Essack M; Gao X
Comput Struct Biotechnol J; 2021; 19():5008-5018. PubMed ID: 34589181
[TBL] [Abstract][Full Text] [Related]
3. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
[TBL] [Abstract][Full Text] [Related]
4. Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning.
Roy S; Kumar R; Mittal V; Gupta D
Sci Rep; 2020 Mar; 10(1):4113. PubMed ID: 32139710
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.
White C; Ismail HD; Saigo H; Kc DB
BMC Bioinformatics; 2017 Dec; 18(Suppl 16):577. PubMed ID: 29297322
[TBL] [Abstract][Full Text] [Related]
8. SVM-RFE with MRMR filter for gene selection.
Mundra PA; Rajapakse JC
IEEE Trans Nanobioscience; 2010 Mar; 9(1):31-7. PubMed ID: 19884101
[TBL] [Abstract][Full Text] [Related]
9. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques.
Venkataramana L; Prasad DVV; Saraswathi S; Mithumary CM; Karthikeyan R; Monika N
Med Biol Eng Comput; 2022 Sep; 60(9):2681-2691. PubMed ID: 35834050
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.
Huang Y; Wei L; Hu Y; Shao N; Lin Y; He S; Shi H; Zhang X; Lin Y
Front Oncol; 2021; 11():706733. PubMed ID: 34490107
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Improvement of P300-Based Brain-Computer Interfaces for Home Appliances Control by Data Balancing Techniques.
Lee T; Kim M; Kim SP
Sensors (Basel); 2020 Sep; 20(19):. PubMed ID: 33003367
[TBL] [Abstract][Full Text] [Related]
16. Feature selection and classification of MAQC-II breast cancer and multiple myeloma microarray gene expression data.
Liu Q; Sung AH; Chen Z; Liu J; Huang X; Deng Y
PLoS One; 2009 Dec; 4(12):e8250. PubMed ID: 20011240
[TBL] [Abstract][Full Text] [Related]
17. Deep Learning Feature Extraction Approach for Hematopoietic Cancer Subtype Classification.
Park KH; Batbaatar E; Piao Y; Theera-Umpon N; Ryu KH
Int J Environ Res Public Health; 2021 Feb; 18(4):. PubMed ID: 33672300
[TBL] [Abstract][Full Text] [Related]
18. Detection of breast cancer of various clinical stages based on serum FT-IR spectroscopy combined with multiple algorithms.
Yang B; Chen C; Cheng C; Cheng H; Yan Z; Chen F; Zhu Z; Zhang H; Yue F; Lv X
Photodiagnosis Photodyn Ther; 2021 Mar; 33():102199. PubMed ID: 33515764
[TBL] [Abstract][Full Text] [Related]
19. Blood-based gene-expression biomarkers identification for the non-invasive diagnosis of Parkinson's disease using two-layer hybrid feature selection.
Augustine J; Jereesh AS
Gene; 2022 May; 823():146366. PubMed ID: 35202733
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
