328 related articles for article (PubMed ID: 34337652)
1. PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection.
Ullah M; Han K; Hadi F; Xu J; Song J; Yu DJ
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34337652
[TBL] [Abstract][Full Text] [Related]
2. PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data.
Ullah M; Hadi F; Song J; Yu DJ
Bioinformatics; 2022 Aug; 38(16):4019-4026. PubMed ID: 35771606
[TBL] [Abstract][Full Text] [Related]
3. PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method.
Ullah M; Hadi F; Song J; Yu DJ
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36413068
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Protein subcellular localization prediction using multiple kernel learning based support vector machine.
Hasan MA; Ahmad S; Molla MK
Mol Biosyst; 2017 Mar; 13(4):785-795. PubMed ID: 28247893
[TBL] [Abstract][Full Text] [Related]
7. TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning.
Hu J; Zhou XG; Zhu YH; Yu DJ; Zhang GJ
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(4):1419-1429. PubMed ID: 30668479
[TBL] [Abstract][Full Text] [Related]
8. iAPSL-IF: Identification of Apoptosis Protein Subcellular Location Using Integrative Features Captured from Amino Acid Sequences.
Tang Y; Xie L; Chen L
Int J Mol Sci; 2018 Apr; 19(4):. PubMed ID: 29652843
[TBL] [Abstract][Full Text] [Related]
9. Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.
Su EC; Chang JM; Cheng CW; Sung TY; Hsu WL
BMC Bioinformatics; 2012; 13 Suppl 17(Suppl 17):S13. PubMed ID: 23282098
[TBL] [Abstract][Full Text] [Related]
10. An efficient model selection for linear discriminant function-based recursive feature elimination.
Ding X; Yang F; Ma F
J Biomed Inform; 2022 May; 129():104070. PubMed ID: 35436594
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. LncLocation: Efficient Subcellular Location Prediction of Long Non-Coding RNA-Based Multi-Source Heterogeneous Feature Fusion.
Feng S; Liang Y; Du W; Lv W; Li Y
Int J Mol Sci; 2020 Oct; 21(19):. PubMed ID: 33019721
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA.
Du L; Meng Q; Chen Y; Wu P
BMC Bioinformatics; 2020 May; 21(1):212. PubMed ID: 32448129
[TBL] [Abstract][Full Text] [Related]
15. Bioimage-Based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks.
Liu GH; Zhang BW; Qian G; Wang B; Mao B; Bichindaritz I
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(6):1966-1980. PubMed ID: 31107658
[TBL] [Abstract][Full Text] [Related]
16. Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines.
Tahir M; Jan B; Hayat M; Shah SU; Amin M
Comput Methods Programs Biomed; 2018 Apr; 157():205-215. PubMed ID: 29477429
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging.
Wang R; Li R; Lei Y; Zhu Q
Biomed Mater Eng; 2015; 26 Suppl 1():S975-81. PubMed ID: 26406101
[TBL] [Abstract][Full Text] [Related]
19. Predicting protein subcellular localization based on information content of gene ontology terms.
Zhang SB; Tang QR
Comput Biol Chem; 2016 Dec; 65():1-7. PubMed ID: 27665466
[TBL] [Abstract][Full Text] [Related]
20. Automated protein subcellular localization based on local invariant features.
Li C; Wang XH; Zheng L; Huang JF
Protein J; 2013 Mar; 32(3):230-7. PubMed ID: 23512411
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]