相似文献
1
Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination.
Biomark Med. 2019 Feb;13(2):105-121. doi: 10.2217/bmm-2018-0273. Epub 2019 Feb 15.
2
An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
Biomed Res Int. 2018 Aug 30;2018:7538204. doi: 10.1155/2018/7538204. eCollection 2018.
3
Screening of genes characteristic of pancreatic cancer by LASSO regression combined with support vector machine and recursive feature elimination, and immune correlation analysis.
J Int Med Res. 2024 Mar;52(3):3000605241233160. doi: 10.1177/03000605241233160.
4
SVM-RFE: selection and visualization of the most relevant features through non-linear kernels.
BMC Bioinformatics. 2018 Nov 19;19(1):432. doi: 10.1186/s12859-018-2451-4.
5
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.
BMC Bioinformatics. 2006 Dec 25;7:543. doi: 10.1186/1471-2105-7-543.
6
Recursive Support Vector Machine Biomarker Selection for Alzheimer's Disease.
J Alzheimers Dis. 2021;79(4):1691-1700. doi: 10.3233/JAD-201254.
7
Robust biomarker screening from gene expression data by stable machine learning-recursive feature elimination methods.
Comput Biol Chem. 2022 Oct;100:107747. doi: 10.1016/j.compbiolchem.2022.107747. Epub 2022 Jul 29.
8
Identification of hub genes with diagnostic values in pancreatic cancer by bioinformatics analyses and supervised learning methods.
World J Surg Oncol. 2018 Nov 14;16(1):223. doi: 10.1186/s12957-018-1519-y.
9
Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.
Molecules. 2017 Dec 26;23(1):52. doi: 10.3390/molecules23010052.
10
Recursive SVM biomarker selection for early detection of breast cancer in peripheral blood.
BMC Med Genomics. 2013;6 Suppl 1(Suppl 1):S4. doi: 10.1186/1755-8794-6-S1-S4. Epub 2013 Jan 23.
引用本文的文献
1
The diagnostic and prognostic value of in colorectal cancer.
Bioimpacts. 2024 Nov 5;15:30566. doi: 10.34172/bi.30566. eCollection 2025.
2
AMIGO2 is a pivotal therapeutic target related to M2 polarization of macrophages in pancreatic ductal adenocarcinoma.
Aging (Albany NY). 2024 Jan 5;16(2):1111-1127. doi: 10.18632/aging.205380.
3
The Utility of Artificial Intelligence in the Diagnosis and Management of Pancreatic Cancer.
Cureus. 2023 Nov 28;15(11):e49560. doi: 10.7759/cureus.49560. eCollection 2023 Nov.
4
Artificial Intelligence-Driven Diagnosis of Pancreatic Cancer.
Cancers (Basel). 2022 Oct 31;14(21):5382. doi: 10.3390/cancers14215382.
5
Artificial intelligence in pancreatic cancer.
Theranostics. 2022 Oct 3;12(16):6931-6954. doi: 10.7150/thno.77949. eCollection 2022.
6
DrugHybrid_BS: Using Hybrid Feature Combined With Bagging-SVM to Predict Potentially Druggable Proteins.
Front Pharmacol. 2021 Nov 30;12:771808. doi: 10.3389/fphar.2021.771808. eCollection 2021.
7
Liver-Metastasis-Related Genes are Potential Biomarkers for Predicting the Clinical Outcomes of Patients with Pancreatic Adenocarcinoma.
Pathol Oncol Res. 2021 Jul 5;27:1609822. doi: 10.3389/pore.2021.1609822. eCollection 2021.
8
Identification of sub-Golgi protein localization by use of deep representation learning features.
Bioinformatics. 2021 Apr 5;36(24):5600-5609. doi: 10.1093/bioinformatics/btaa1074.
9
PredAmyl-MLP: Prediction of Amyloid Proteins Using Multilayer Perceptron.
Comput Math Methods Med. 2020 Nov 20;2020:8845133. doi: 10.1155/2020/8845133. eCollection 2020.
10
Prediction of Anticancer Peptides Using a Low-Dimensional Feature Model.
Front Bioeng Biotechnol. 2020 Aug 12;8:892. doi: 10.3389/fbioe.2020.00892. eCollection 2020.
本文引用的文献
1
A five-gene signature may predict sunitinib sensitivity and serve as prognostic biomarkers for renal cell carcinoma.
J Cell Physiol. 2018 Oct;233(10):6649-6660. doi: 10.1002/jcp.26441. Epub 2018 Apr 25.
2
Type 1 Diabetes Candidate Genes Linked to Pancreatic Islet Cell Inflammation and Beta-Cell Apoptosis.
Genes (Basel). 2017 Feb 16;8(2):72. doi: 10.3390/genes8020072.
3
Cancer Statistics, 2017.
CA Cancer J Clin. 2017 Jan;67(1):7-30. doi: 10.3322/caac.21387. Epub 2017 Jan 5.
4
Cancer statistics in China, 2015.
CA Cancer J Clin. 2016 Mar-Apr;66(2):115-32. doi: 10.3322/caac.21338. Epub 2016 Jan 25.
5
FCGR2A, FCGR3A, FCGR3B polymorphisms and susceptibility to rheumatoid arthritis: a meta-analysis.
Clin Exp Rheumatol. 2015 Sep-Oct;33(5):647-54. Epub 2015 Aug 27.
6
Prognostic impact of a compartment-specific angiogenic marker profile in patients with pancreatic cancer.
Oncotarget. 2014 Dec 30;5(24):12978-89. doi: 10.18632/oncotarget.2651.
7
Matrilysin/matrix metalloproteinase-7(MMP7) cleavage of perlecan/HSPG2 creates a molecular switch to alter prostate cancer cell behavior.
Matrix Biol. 2014 Jun;36:64-76. doi: 10.1016/j.matbio.2014.04.005. Epub 2014 May 14.
8
Prostate-specific antigen and other serum and urine markers in prostate cancer.
Biochim Biophys Acta. 2014 Aug;1846(1):99-112. doi: 10.1016/j.bbcan.2014.04.001. Epub 2014 Apr 13.
9
Sulforaphane regulates self-renewal of pancreatic cancer stem cells through the modulation of Sonic hedgehog-GLI pathway.
Mol Cell Biochem. 2013 Jan;373(1-2):217-27. doi: 10.1007/s11010-012-1493-6. Epub 2012 Nov 6.
10
Attenuation of reactive oxygen species by antioxidants suppresses hypoxia-induced epithelial-mesenchymal transition and metastasis of pancreatic cancer cells.
Clin Exp Metastasis. 2013 Feb;30(2):143-54. doi: 10.1007/s10585-012-9519-8. Epub 2012 Jul 26.
Zotero 插件