728 related articles for article (PubMed ID: 29047334)
1. A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts.
Schneider HW; Raiol T; Brigido MM; Walter MEMT; Stadler PF
BMC Genomics; 2017 Oct; 18(1):804. PubMed ID: 29047334
[TBL] [Abstract][Full Text] [Related]
2. lncRScan-SVM: A Tool for Predicting Long Non-Coding RNAs Using Support Vector Machine.
Sun L; Liu H; Zhang L; Meng J
PLoS One; 2015; 10(10):e0139654. PubMed ID: 26437338
[TBL] [Abstract][Full Text] [Related]
3. PLEK: a tool for predicting long non-coding RNAs and messenger RNAs based on an improved k-mer scheme.
Li A; Zhang J; Zhou Z
BMC Bioinformatics; 2014 Sep; 15(1):311. PubMed ID: 25239089
[TBL] [Abstract][Full Text] [Related]
4. FEELnc: a tool for long non-coding RNA annotation and its application to the dog transcriptome.
Wucher V; Legeai F; Hédan B; Rizk G; Lagoutte L; Leeb T; Jagannathan V; Cadieu E; David A; Lohi H; Cirera S; Fredholm M; Botherel N; Leegwater PAJ; Le Béguec C; Fieten H; Johnson J; Alföldi J; André C; Lindblad-Toh K; Hitte C; Derrien T
Nucleic Acids Res; 2017 May; 45(8):e57. PubMed ID: 28053114
[TBL] [Abstract][Full Text] [Related]
5. CPPred: coding potential prediction based on the global description of RNA sequence.
Tong X; Liu S
Nucleic Acids Res; 2019 May; 47(8):e43. PubMed ID: 30753596
[TBL] [Abstract][Full Text] [Related]
6. RNA Coding Potential Prediction Using Alignment-Free Logistic Regression Model.
Li Y; Wang L
Methods Mol Biol; 2021; 2254():27-39. PubMed ID: 33326068
[TBL] [Abstract][Full Text] [Related]
7. Computational identification of human long intergenic non-coding RNAs using a GA-SVM algorithm.
Wang Y; Li Y; Wang Q; Lv Y; Wang S; Chen X; Yu X; Jiang W; Li X
Gene; 2014 Jan; 533(1):94-9. PubMed ID: 24120395
[TBL] [Abstract][Full Text] [Related]
8. Prediction of plant lncRNA by ensemble machine learning classifiers.
Simopoulos CMA; Weretilnyk EA; Golding GB
BMC Genomics; 2018 May; 19(1):316. PubMed ID: 29720103
[TBL] [Abstract][Full Text] [Related]
9. Integrating RNA-seq and ChIP-seq data to characterize long non-coding RNAs in Drosophila melanogaster.
Chen MJ; Chen LK; Lai YS; Lin YY; Wu DC; Tung YA; Liu KY; Shih HT; Chen YJ; Lin YL; Ma LT; Huang JL; Wu PC; Hong MY; Chu FH; Wu JT; Li WH; Chen CY
BMC Genomics; 2016 Mar; 17():220. PubMed ID: 26969372
[TBL] [Abstract][Full Text] [Related]
10. Predicting functional long non-coding RNAs validated by low throughput experiments.
Zhou B; Yang Y; Zhan J; Dou X; Wang J; Zhou Y
RNA Biol; 2019 Nov; 16(11):1555-1564. PubMed ID: 31345106
[TBL] [Abstract][Full Text] [Related]
11. lncRNA-MFDL: identification of human long non-coding RNAs by fusing multiple features and using deep learning.
Fan XN; Zhang SW
Mol Biosyst; 2015 Mar; 11(3):892-7. PubMed ID: 25588719
[TBL] [Abstract][Full Text] [Related]
12. Transductive learning as an alternative to translation initiation site identification.
Nunes Pinto CL; Nobre CN; Zárate LE
BMC Bioinformatics; 2017 Feb; 18(1):81. PubMed ID: 28152994
[TBL] [Abstract][Full Text] [Related]
13. Prediction of novel long non-coding RNAs based on RNA-Seq data of mouse Klf1 knockout study.
Sun L; Zhang Z; Bailey TL; Perkins AC; Tallack MR; Xu Z; Liu H
BMC Bioinformatics; 2012 Dec; 13():331. PubMed ID: 23237380
[TBL] [Abstract][Full Text] [Related]
14. Discriminating cirRNAs from other lncRNAs using a hierarchical extreme learning machine (H-ELM) algorithm with feature selection.
Chen L; Zhang YH; Huang G; Pan X; Wang S; Huang T; Cai YD
Mol Genet Genomics; 2018 Feb; 293(1):137-149. PubMed ID: 28913654
[TBL] [Abstract][Full Text] [Related]
15. CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.
Zhang X; Wang J; Li J; Chen W; Liu C
BMC Med Genomics; 2018 Dec; 11(Suppl 6):120. PubMed ID: 30598114
[TBL] [Abstract][Full Text] [Related]
16. Comparative analysis of protein-coding and long non-coding transcripts based on RNA sequence features.
Volkova OA; Kondrakhin YV; Kashapov TA; Sharipov RN
J Bioinform Comput Biol; 2018 Apr; 16(2):1840013. PubMed ID: 29739305
[TBL] [Abstract][Full Text] [Related]
17. Identification of long non-coding transcripts with feature selection: a comparative study.
Ventola GM; Noviello TM; D'Aniello S; Spagnuolo A; Ceccarelli M; Cerulo L
BMC Bioinformatics; 2017 Mar; 18(1):187. PubMed ID: 28335739
[TBL] [Abstract][Full Text] [Related]
18. The stacking strategy-based hybrid framework for identifying non-coding RNAs.
Wang X; Yang Y; Liu J; Wang G
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33693454
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning-Based Annotation of Long Noncoding RNAs Using PLncPRO.
Khemka NK; Singh U; Dwivedi AK; Jain M
Methods Mol Biol; 2020; 2107():253-260. PubMed ID: 31893451
[TBL] [Abstract][Full Text] [Related]
20. PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets.
Deshpande S; Shuttleworth J; Yang J; Taramonli S; England M
Comput Biol Med; 2019 Feb; 105():169-181. PubMed ID: 30665012
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
