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.
89 related articles for article (PubMed ID: 26380547)
1. Preprocessing Steps for Agilent MicroRNA Arrays: Does the Order Matter? Qin LX; Huang HC; Zhou Q Cancer Inform; 2014; 13(Suppl 4):105-9. PubMed ID: 26380547 [TBL] [Abstract][Full Text] [Related]
2. An Empirical Evaluation of Normalization Methods for MicroRNA Arrays in a Liposarcoma Study. Qin LX; Tuschl T; Singer S Cancer Inform; 2013; 12():83-101. PubMed ID: 23589668 [TBL] [Abstract][Full Text] [Related]
3. MicroRNA array normalization: an evaluation using a randomized dataset as the benchmark. Qin LX; Zhou Q PLoS One; 2014; 9(6):e98879. PubMed ID: 24905456 [TBL] [Abstract][Full Text] [Related]
4. A pair of datasets for microRNA expression profiling to examine the use of careful study design for assigning arrays to samples. Qin LX; Huang HC; Villafania L; Cavatore M; Olvera N; Levine DA Sci Data; 2018 May; 5():180084. PubMed ID: 29762551 [TBL] [Abstract][Full Text] [Related]
12. A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database. Katz S; Irizarry RA; Lin X; Tripputi M; Porter MW BMC Bioinformatics; 2006 Oct; 7():464. PubMed ID: 17059591 [TBL] [Abstract][Full Text] [Related]
13. Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer. Lacroix M; Frouin F; Dirand AS; Nioche C; Orlhac F; Bernaudin JF; Brillet PY; Buvat I Front Oncol; 2020; 10():43. PubMed ID: 32083003 [No Abstract] [Full Text] [Related]
14. Preprocessing and Pretreatment of Metabolomics Data for Statistical Analysis. Karaman I Adv Exp Med Biol; 2017; 965():145-161. PubMed ID: 28132179 [TBL] [Abstract][Full Text] [Related]
15. Microarray Data Preprocessing: From Experimental Design to Differential Analysis. Federico A; Saarimäki LA; Serra A; Del Giudice G; Kinaret PAS; Scala G; Greco D Methods Mol Biol; 2022; 2401():79-100. PubMed ID: 34902124 [TBL] [Abstract][Full Text] [Related]
17. RNA-seq preprocessing and sample size considerations for gene network inference. Altay G; Zapardiel-Gonzalo J; Peters B bioRxiv; 2023 Jan; ():. PubMed ID: 36711979 [TBL] [Abstract][Full Text] [Related]
18. Normalization Methods for the Analysis of Unbalanced Transcriptome Data: A Review. Liu X; Li N; Liu S; Wang J; Zhang N; Zheng X; Leung KS; Cheng L Front Bioeng Biotechnol; 2019; 7():358. PubMed ID: 32039167 [TBL] [Abstract][Full Text] [Related]
19. GFS: fuzzy preprocessing for effective gene expression analysis. Belorkar A; Wong L BMC Bioinformatics; 2016 Dec; 17(Suppl 17):540. PubMed ID: 28155629 [TBL] [Abstract][Full Text] [Related]
20. MagiCMicroRna: a web implementation of AgiMicroRna using shiny. Coonen MLj; Theunissen DH; Kleinjans JC; Jennen DG Source Code Biol Med; 2015; 10():4. PubMed ID: 25838840 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]