193 related articles for article (PubMed ID: 23735186)
1. A mixture model for expression deconvolution from RNA-seq in heterogeneous tissues.
Li Y; Xie X
BMC Bioinformatics; 2013; 14 Suppl 5(Suppl 5):S11. PubMed ID: 23735186
[TBL] [Abstract][Full Text] [Related]
2. DeconRNASeq: a statistical framework for deconvolution of heterogeneous tissue samples based on mRNA-Seq data.
Gong T; Szustakowski JD
Bioinformatics; 2013 Apr; 29(8):1083-5. PubMed ID: 23428642
[TBL] [Abstract][Full Text] [Related]
3. TIGAR: transcript isoform abundance estimation method with gapped alignment of RNA-Seq data by variational Bayesian inference.
Nariai N; Hirose O; Kojima K; Nagasaki M
Bioinformatics; 2013 Sep; 29(18):2292-9. PubMed ID: 23821651
[TBL] [Abstract][Full Text] [Related]
4. Identifying differentially expressed transcripts from RNA-seq data with biological variation.
Glaus P; Honkela A; Rattray M
Bioinformatics; 2012 Jul; 28(13):1721-8. PubMed ID: 22563066
[TBL] [Abstract][Full Text] [Related]
5. Transcriptome assembly and isoform expression level estimation from biased RNA-Seq reads.
Li W; Jiang T
Bioinformatics; 2012 Nov; 28(22):2914-21. PubMed ID: 23060617
[TBL] [Abstract][Full Text] [Related]
6. DAFS: a data-adaptive flag method for RNA-sequencing data to differentiate genes with low and high expression.
George NI; Chang CW
BMC Bioinformatics; 2014 Mar; 15():92. PubMed ID: 24685233
[TBL] [Abstract][Full Text] [Related]
7. A fast and globally optimal solution for RNA-seq quantification.
Yi H; Lin Y; Chang Q; Jin W
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37595963
[TBL] [Abstract][Full Text] [Related]
8. Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Single-Cell RNA-Seq Samples.
Zambelli F; Pavesi G
Methods Mol Biol; 2021; 2284():77-96. PubMed ID: 33835439
[TBL] [Abstract][Full Text] [Related]
9. RNA-Skim: a rapid method for RNA-Seq quantification at transcript level.
Zhang Z; Wang W
Bioinformatics; 2014 Jun; 30(12):i283-i292. PubMed ID: 24931995
[TBL] [Abstract][Full Text] [Related]
10. AtRTD - a comprehensive reference transcript dataset resource for accurate quantification of transcript-specific expression in Arabidopsis thaliana.
Zhang R; Calixto CP; Tzioutziou NA; James AB; Simpson CG; Guo W; Marquez Y; Kalyna M; Patro R; Eyras E; Barta A; Nimmo HG; Brown JW
New Phytol; 2015 Oct; 208(1):96-101. PubMed ID: 26111100
[TBL] [Abstract][Full Text] [Related]
11. Comprehensive evaluation of RNA-seq quantification methods for linearity.
Jin H; Wan YW; Liu Z
BMC Bioinformatics; 2017 Mar; 18(Suppl 4):117. PubMed ID: 28361706
[TBL] [Abstract][Full Text] [Related]
12. Comparative assessment of methods for the computational inference of transcript isoform abundance from RNA-seq data.
Kanitz A; Gypas F; Gruber AJ; Gruber AR; Martin G; Zavolan M
Genome Biol; 2015 Jul; 16(1):150. PubMed ID: 26201343
[TBL] [Abstract][Full Text] [Related]
13. A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
Zhang H; Lee CAA; Li Z; Garbe JR; Eide CR; Petegrosso R; Kuang R; Tolar J
PLoS Comput Biol; 2018 Apr; 14(4):e1006053. PubMed ID: 29630593
[TBL] [Abstract][Full Text] [Related]
14. EDClust: an EM-MM hybrid method for cell clustering in multiple-subject single-cell RNA sequencing.
Wei X; Li Z; Ji H; Wu H
Bioinformatics; 2022 May; 38(10):2692-2699. PubMed ID: 35561178
[TBL] [Abstract][Full Text] [Related]
15. Fast and accurate approximate inference of transcript expression from RNA-seq data.
Hensman J; Papastamoulis P; Glaus P; Honkela A; Rattray M
Bioinformatics; 2015 Dec; 31(24):3881-9. PubMed ID: 26315907
[TBL] [Abstract][Full Text] [Related]
16. SimBu: bias-aware simulation of bulk RNA-seq data with variable cell-type composition.
Dietrich A; Sturm G; Merotto L; Marini F; Finotello F; List M
Bioinformatics; 2022 Sep; 38(Suppl_2):ii141-ii147. PubMed ID: 36124800
[TBL] [Abstract][Full Text] [Related]
17. Network-Based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis.
Zhang W; Chang JW; Lin L; Minn K; Wu B; Chien J; Yong J; Zheng H; Kuang R
PLoS Comput Biol; 2015 Dec; 11(12):e1004465. PubMed ID: 26699225
[TBL] [Abstract][Full Text] [Related]
18. Accurate estimation of expression levels of homologous genes in RNA-seq experiments.
Paşaniuc B; Zaitlen N; Halperin E
J Comput Biol; 2011 Mar; 18(3):459-68. PubMed ID: 21385047
[TBL] [Abstract][Full Text] [Related]
19. Powerful differential expression analysis incorporating network topology for next-generation sequencing data.
Dona MSI; Prendergast LA; Mathivanan S; Keerthikumar S; Salim A
Bioinformatics; 2017 May; 33(10):1505-1513. PubMed ID: 28172447
[TBL] [Abstract][Full Text] [Related]
20. iReckon: simultaneous isoform discovery and abundance estimation from RNA-seq data.
Mezlini AM; Smith EJ; Fiume M; Buske O; Savich GL; Shah S; Aparicio S; Chiang DY; Goldenberg A; Brudno M
Genome Res; 2013 Mar; 23(3):519-29. PubMed ID: 23204306
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
