187 related articles for article (PubMed ID: 27542770)
1. DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments.
Vrahatis AG; Balomenos P; Tsakalidis AK; Bezerianos A
Bioinformatics; 2016 Dec; 32(24):3844-3846. PubMed ID: 27542770
[TBL] [Abstract][Full Text] [Related]
2. psSubpathway: a software package for flexible identification of phenotype-specific subpathways in cancer progression.
Han J; Han X; Kong Q; Cheng L
Bioinformatics; 2020 Apr; 36(7):2303-2305. PubMed ID: 31821408
[TBL] [Abstract][Full Text] [Related]
3. DaMiRseq-an R/Bioconductor package for data mining of RNA-Seq data: normalization, feature selection and classification.
Chiesa M; Colombo GI; Piacentini L
Bioinformatics; 2018 Apr; 34(8):1416-1418. PubMed ID: 29236969
[TBL] [Abstract][Full Text] [Related]
4. RNASeqGUI: a GUI for analysing RNA-Seq data.
Russo F; Angelini C
Bioinformatics; 2014 Sep; 30(17):2514-6. PubMed ID: 24812338
[TBL] [Abstract][Full Text] [Related]
5. QUBIC: a bioconductor package for qualitative biclustering analysis of gene co-expression data.
Zhang Y; Xie J; Yang J; Fennell A; Zhang C; Ma Q
Bioinformatics; 2017 Feb; 33(3):450-452. PubMed ID: 28172469
[TBL] [Abstract][Full Text] [Related]
6. CHRONOS: a time-varying method for microRNA-mediated subpathway enrichment analysis.
Vrahatis AG; Dimitrakopoulou K; Balomenos P; Tsakalidis AK; Bezerianos A
Bioinformatics; 2016 Mar; 32(6):884-92. PubMed ID: 26568631
[TBL] [Abstract][Full Text] [Related]
7. easyRNASeq: a bioconductor package for processing RNA-Seq data.
Delhomme N; Padioleau I; Furlong EE; Steinmetz LM
Bioinformatics; 2012 Oct; 28(19):2532-3. PubMed ID: 22847932
[TBL] [Abstract][Full Text] [Related]
8. ImpulseDE: detection of differentially expressed genes in time series data using impulse models.
Sander J; Schultze JL; Yosef N
Bioinformatics; 2017 Mar; 33(5):757-759. PubMed ID: 27797772
[TBL] [Abstract][Full Text] [Related]
9. GUIDEseq: a bioconductor package to analyze GUIDE-Seq datasets for CRISPR-Cas nucleases.
Zhu LJ; Lawrence M; Gupta A; Pagès H; Kucukural A; Garber M; Wolfe SA
BMC Genomics; 2017 May; 18(1):379. PubMed ID: 28506212
[TBL] [Abstract][Full Text] [Related]
10. SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs.
Han X; Kong Q; Liu C; Cheng L; Han J
Bioinformatics; 2021 Aug; 37(16):2491-2493. PubMed ID: 33459772
[TBL] [Abstract][Full Text] [Related]
11. rSeqNP: a non-parametric approach for detecting differential expression and splicing from RNA-Seq data.
Shi Y; Chinnaiyan AM; Jiang H
Bioinformatics; 2015 Jul; 31(13):2222-4. PubMed ID: 25717189
[TBL] [Abstract][Full Text] [Related]
12. RNAseqViewer: visualization tool for RNA-Seq data.
Rogé X; Zhang X
Bioinformatics; 2014 Mar; 30(6):891-2. PubMed ID: 24215023
[TBL] [Abstract][Full Text] [Related]
13. Combining multiple tools outperforms individual methods in gene set enrichment analyses.
Alhamdoosh M; Ng M; Wilson NJ; Sheridan JM; Huynh H; Wilson MJ; Ritchie ME
Bioinformatics; 2017 Feb; 33(3):414-424. PubMed ID: 27694195
[TBL] [Abstract][Full Text] [Related]
14. Sincell: an R/Bioconductor package for statistical assessment of cell-state hierarchies from single-cell RNA-seq.
Juliá M; Telenti A; Rausell A
Bioinformatics; 2015 Oct; 31(20):3380-2. PubMed ID: 26099264
[TBL] [Abstract][Full Text] [Related]
15. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R.
McCarthy DJ; Campbell KR; Lun AT; Wills QF
Bioinformatics; 2017 Apr; 33(8):1179-1186. PubMed ID: 28088763
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package.
Meng J; Lu Z; Liu H; Zhang L; Zhang S; Chen Y; Rao MK; Huang Y
Methods; 2014 Oct; 69(3):274-81. PubMed ID: 24979058
[TBL] [Abstract][Full Text] [Related]
18. DEsingle for detecting three types of differential expression in single-cell RNA-seq data.
Miao Z; Deng K; Wang X; Zhang X
Bioinformatics; 2018 Sep; 34(18):3223-3224. PubMed ID: 29688277
[TBL] [Abstract][Full Text] [Related]
19. Identification and visualization of differential isoform expression in RNA-seq time series.
Nueda MJ; Martorell-Marugan J; Martí C; Tarazona S; Conesa A
Bioinformatics; 2018 Feb; 34(3):524-526. PubMed ID: 28968682
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
