275 related articles for article (PubMed ID: 26070955)
1. deGPS is a powerful tool for detecting differential expression in RNA-sequencing studies.
Chu C; Fang Z; Hua X; Yang Y; Chen E; Cowley AW; Liang M; Liu P; Lu Y
BMC Genomics; 2015 Jun; 16(1):455. PubMed ID: 26070955
[TBL] [Abstract][Full Text] [Related]
2. A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments.
Esnaola M; Puig P; Gonzalez D; Castelo R; Gonzalez JR
BMC Bioinformatics; 2013 Aug; 14():254. PubMed ID: 23965047
[TBL] [Abstract][Full Text] [Related]
3. NPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq data.
Bi Y; Davuluri RV
BMC Bioinformatics; 2013 Aug; 14():262. PubMed ID: 23981227
[TBL] [Abstract][Full Text] [Related]
4. Differential expression analysis of RNA sequencing data by incorporating non-exonic mapped reads.
Chen HI; Liu Y; Zou Y; Lai Z; Sarkar D; Huang Y; Chen Y
BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S14. PubMed ID: 26099631
[TBL] [Abstract][Full Text] [Related]
5. SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis.
Johnson BK; Scholz MB; Teal TK; Abramovitch RB
BMC Bioinformatics; 2016 Feb; 17():66. PubMed ID: 26847232
[TBL] [Abstract][Full Text] [Related]
6. Benchmarking differential expression analysis tools for RNA-Seq: normalization-based vs. log-ratio transformation-based methods.
Quinn TP; Crowley TM; Richardson MF
BMC Bioinformatics; 2018 Jul; 19(1):274. PubMed ID: 30021534
[TBL] [Abstract][Full Text] [Related]
7. Polyester: simulating RNA-seq datasets with differential transcript expression.
Frazee AC; Jaffe AE; Langmead B; Leek JT
Bioinformatics; 2015 Sep; 31(17):2778-84. PubMed ID: 25926345
[TBL] [Abstract][Full Text] [Related]
8. compcodeR--an R package for benchmarking differential expression methods for RNA-seq data.
Soneson C
Bioinformatics; 2014 Sep; 30(17):2517-8. PubMed ID: 24813215
[TBL] [Abstract][Full Text] [Related]
9. Freddie: annotation-independent detection and discovery of transcriptomic alternative splicing isoforms using long-read sequencing.
Orabi B; Xie N; McConeghy B; Dong X; Chauve C; Hach F
Nucleic Acids Res; 2023 Jan; 51(2):e11. PubMed ID: 36478271
[TBL] [Abstract][Full Text] [Related]
10. Accurate inference of isoforms from multiple sample RNA-Seq data.
Tasnim M; Ma S; Yang EW; Jiang T; Li W
BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S15. PubMed ID: 25708199
[TBL] [Abstract][Full Text] [Related]
11. A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data.
Li X; Brock GN; Rouchka EC; Cooper NGF; Wu D; O'Toole TE; Gill RS; Eteleeb AM; O'Brien L; Rai SN
PLoS One; 2017; 12(5):e0176185. PubMed ID: 28459823
[TBL] [Abstract][Full Text] [Related]
12. LFCseq: a nonparametric approach for differential expression analysis of RNA-seq data.
Lin B; Zhang LF; Chen X
BMC Genomics; 2014; 15 Suppl 10(Suppl 10):S7. PubMed ID: 25560842
[TBL] [Abstract][Full Text] [Related]
13. Short-Read RNA-Seq.
Hu R; Islam MN; Varghese RS; Ressom HW
Methods Mol Biol; 2024; 2822():245-262. PubMed ID: 38907923
[TBL] [Abstract][Full Text] [Related]
14. BADGE: a novel Bayesian model for accurate abundance quantification and differential analysis of RNA-Seq data.
Gu J; Wang X; Halakivi-Clarke L; Clarke R; Xuan J
BMC Bioinformatics; 2014; 15 Suppl 9(Suppl 9):S6. PubMed ID: 25252852
[TBL] [Abstract][Full Text] [Related]
15. Uncovering the complexity of transcriptomes with RNA-Seq.
Costa V; Angelini C; De Feis I; Ciccodicola A
J Biomed Biotechnol; 2010; 2010():853916. PubMed ID: 20625424
[TBL] [Abstract][Full Text] [Related]
16. Differential expression of single-cell RNA-seq data using Tweedie models.
Mallick H; Chatterjee S; Chowdhury S; Chatterjee S; Rahnavard A; Hicks SC
Stat Med; 2022 Aug; 41(18):3492-3510. PubMed ID: 35656596
[TBL] [Abstract][Full Text] [Related]
17. A Guide for Designing and Analyzing RNA-Seq Data.
Chatterjee A; Ahn A; Rodger EJ; Stockwell PA; Eccles MR
Methods Mol Biol; 2018; 1783():35-80. PubMed ID: 29767357
[TBL] [Abstract][Full Text] [Related]
18. Transcript Profiling Using Long-Read Sequencing Technologies.
Bayega A; Wang YC; Oikonomopoulos S; Djambazian H; Fahiminiya S; Ragoussis J
Methods Mol Biol; 2018; 1783():121-147. PubMed ID: 29767360
[TBL] [Abstract][Full Text] [Related]
19. OUTRIDER: A Statistical Method for Detecting Aberrantly Expressed Genes in RNA Sequencing Data.
Brechtmann F; Mertes C; Matusevičiūtė A; Yépez VA; Avsec Ž; Herzog M; Bader DM; Prokisch H; Gagneur J
Am J Hum Genet; 2018 Dec; 103(6):907-917. PubMed ID: 30503520
[TBL] [Abstract][Full Text] [Related]
20. PROPER: comprehensive power evaluation for differential expression using RNA-seq.
Wu H; Wang C; Wu Z
Bioinformatics; 2015 Jan; 31(2):233-41. PubMed ID: 25273110
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
