These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
156 related articles for article (PubMed ID: 36326442)
1. Global FDR control across multiple RNAseq experiments. Liou L; Hornburg M; Robertson DS Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36326442 [TBL] [Abstract][Full Text] [Related]
2. onlineFDR: an R package to control the false discovery rate for growing data repositories. Robertson DS; Wildenhain J; Javanmard A; Karp NA Bioinformatics; 2019 Oct; 35(20):4196-4199. PubMed ID: 30873526 [TBL] [Abstract][Full Text] [Related]
4. twilight; a Bioconductor package for estimating the local false discovery rate. Scheid S; Spang R Bioinformatics; 2005 Jun; 21(12):2921-2. PubMed ID: 15817688 [TBL] [Abstract][Full Text] [Related]
5. Better diagnostic signatures from RNAseq data through use of auxiliary co-data. Novianti PW; Snoek BC; Wilting SM; van de Wiel MA Bioinformatics; 2017 May; 33(10):1572-1574. PubMed ID: 28073760 [TBL] [Abstract][Full Text] [Related]
6. schex avoids overplotting for large single-cell RNA-sequencing datasets. Freytag S; Lister R Bioinformatics; 2020 Apr; 36(7):2291-2292. PubMed ID: 31794001 [TBL] [Abstract][Full Text] [Related]
7. Sample size calculation while controlling false discovery rate for differential expression analysis with RNA-sequencing experiments. Bi R; Liu P BMC Bioinformatics; 2016 Mar; 17():146. PubMed ID: 27029470 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. The RNASeq-er API-a gateway to systematically updated analysis of public RNA-seq data. Petryszak R; Fonseca NA; Füllgrabe A; Huerta L; Keays M; Tang YA; Brazma A Bioinformatics; 2017 Jul; 33(14):2218-2220. PubMed ID: 28369191 [TBL] [Abstract][Full Text] [Related]
10. Powerful and interpretable control of false discoveries in two-group differential expression studies. Enjalbert-Courrech N; Neuvial P Bioinformatics; 2022 Nov; 38(23):5214-5221. PubMed ID: 36264124 [TBL] [Abstract][Full Text] [Related]
11. ANAQUIN: a software toolkit for the analysis of spike-in controls for next generation sequencing. Wong T; Deveson IW; Hardwick SA; Mercer TR Bioinformatics; 2017 Jun; 33(11):1723-1724. PubMed ID: 28130232 [TBL] [Abstract][Full Text] [Related]
12. SimSeq: a nonparametric approach to simulation of RNA-sequence datasets. Benidt S; Nettleton D Bioinformatics; 2015 Jul; 31(13):2131-40. PubMed ID: 25725090 [TBL] [Abstract][Full Text] [Related]
19. MultiRNAflow: integrated analysis of temporal RNA-seq data with multiple biological conditions. Loubaton R; Champagnat N; Vallois P; Vallat L Bioinformatics; 2024 May; 40(5):. PubMed ID: 38810104 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]