116 related articles for article (PubMed ID: 27455882)
1. PR2S2Clust: Patched RNA-seq read segments' structure-oriented clustering.
Biswas AK; Gao JX
J Bioinform Comput Biol; 2016 Oct; 14(5):1650027. PubMed ID: 27455882
[TBL] [Abstract][Full Text] [Related]
2. GraphClust2: Annotation and discovery of structured RNAs with scalable and accessible integrative clustering.
Miladi M; Sokhoyan E; Houwaart T; Heyne S; Costa F; Grüning B; Backofen R
Gigascience; 2019 Dec; 8(12):. PubMed ID: 31808801
[TBL] [Abstract][Full Text] [Related]
3. Assessing Dissimilarity Measures for Sample-Based Hierarchical Clustering of RNA Sequencing Data Using Plasmode Datasets.
Reeb PD; Bramardi SJ; Steibel JP
PLoS One; 2015; 10(7):e0132310. PubMed ID: 26162080
[TBL] [Abstract][Full Text] [Related]
4. Fast and accurate clustering of noncoding RNAs using ensembles of sequence alignments and secondary structures.
Saito Y; Sato K; Sakakibara Y
BMC Bioinformatics; 2011 Feb; 12 Suppl 1(Suppl 1):S48. PubMed ID: 21342580
[TBL] [Abstract][Full Text] [Related]
5. Chain-RNA: a comparative ncRNA search tool based on the two-dimensional chain algorithm.
Lei J; Techa-Angkoon P; Sun Y
IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(2):274-85. PubMed ID: 23929857
[TBL] [Abstract][Full Text] [Related]
6. Modeling conserved structure patterns for functional noncoding RNA.
Chen Q; Chen YP
IEEE Trans Biomed Eng; 2011 Jun; 58(6):1528-33. PubMed ID: 21041153
[TBL] [Abstract][Full Text] [Related]
7. SHARAKU: an algorithm for aligning and clustering read mapping profiles of deep sequencing in non-coding RNA processing.
Tsuchiya M; Amano K; Abe M; Seki M; Hase S; Sato K; Sakakibara Y
Bioinformatics; 2016 Jun; 32(12):i369-i377. PubMed ID: 27307639
[TBL] [Abstract][Full Text] [Related]
8. Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis.
Geddes TA; Kim T; Nan L; Burchfield JG; Yang JYH; Tao D; Yang P
BMC Bioinformatics; 2019 Dec; 20(Suppl 19):660. PubMed ID: 31870278
[TBL] [Abstract][Full Text] [Related]
9. A local multiple alignment method for detection of non-coding RNA sequences.
Tabei Y; Asai K
Bioinformatics; 2009 Jun; 25(12):1498-505. PubMed ID: 19376823
[TBL] [Abstract][Full Text] [Related]
10. deepBlockAlign: a tool for aligning RNA-seq profiles of read block patterns.
Langenberger D; Pundhir S; Ekstrøm CT; Stadler PF; Hoffmann S; Gorodkin J
Bioinformatics; 2012 Jan; 28(1):17-24. PubMed ID: 22053076
[TBL] [Abstract][Full Text] [Related]
11. BlockClust: efficient clustering and classification of non-coding RNAs from short read RNA-seq profiles.
Videm P; Rose D; Costa F; Backofen R
Bioinformatics; 2014 Jun; 30(12):i274-82. PubMed ID: 24931994
[TBL] [Abstract][Full Text] [Related]
12. RNASurface: fast and accurate detection of locally optimal potentially structured RNA segments.
Soldatov RA; Vinogradova SV; Mironov AA
Bioinformatics; 2014 Feb; 30(4):457-63. PubMed ID: 24292360
[TBL] [Abstract][Full Text] [Related]
13. Convolutional neural networks for classification of alignments of non-coding RNA sequences.
Aoki G; Sakakibara Y
Bioinformatics; 2018 Jul; 34(13):i237-i244. PubMed ID: 29949978
[TBL] [Abstract][Full Text] [Related]
14. Impact of similarity metrics on single-cell RNA-seq data clustering.
Kim T; Chen IR; Lin Y; Wang AY; Yang JYH; Yang P
Brief Bioinform; 2019 Nov; 20(6):2316-2326. PubMed ID: 30137247
[TBL] [Abstract][Full Text] [Related]
15. Structural alignment of RNA with triple helix structure.
Wong TK; Yiu SM
J Comput Biol; 2012 Apr; 19(4):365-78. PubMed ID: 22468707
[TBL] [Abstract][Full Text] [Related]
16. Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations.
Li Y; Zhang Q; Liu Z; Wang C; Han S; Ma Q; Du W
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33367506
[TBL] [Abstract][Full Text] [Related]
17. Designing secondary structure profiles for fast ncRNA identification.
Sun Y; Buhler J
Comput Syst Bioinformatics Conf; 2008; 7():145-56. PubMed ID: 19642276
[TBL] [Abstract][Full Text] [Related]
18. Classification of ncRNAs using position and size information in deep sequencing data.
Erhard F; Zimmer R
Bioinformatics; 2010 Sep; 26(18):i426-32. PubMed ID: 20823303
[TBL] [Abstract][Full Text] [Related]
19. Model-based clustering for RNA-seq data.
Si Y; Liu P; Li P; Brutnell TP
Bioinformatics; 2014 Jan; 30(2):197-205. PubMed ID: 24191069
[TBL] [Abstract][Full Text] [Related]
20. CNCTDiscriminator: coding and noncoding transcript discriminator - an excursion through hypothesis learning and ensemble learning approaches.
Biswas AK; Zhang B; Wu X; Gao JX
J Bioinform Comput Biol; 2013 Oct; 11(5):1342002. PubMed ID: 24131051
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
