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.
205 related articles for article (PubMed ID: 26980280)
21. Discovery of novel genes and gene isoforms by integrating transcriptomic and proteomic profiling from mouse liver. Wu P; Zhang H; Lin W; Hao Y; Ren L; Zhang C; Li N; Wei H; Jiang Y; He F J Proteome Res; 2014 May; 13(5):2409-19. PubMed ID: 24717071 [TBL] [Abstract][Full Text] [Related]
22. 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]
23. iGC-an integrated analysis package of gene expression and copy number alteration. Lai YP; Wang LB; Wang WA; Lai LC; Tsai MH; Lu TP; Chuang EY BMC Bioinformatics; 2017 Jan; 18(1):35. PubMed ID: 28088185 [TBL] [Abstract][Full Text] [Related]
24. DegPack: a web package using a non-parametric and information theoretic algorithm to identify differentially expressed genes in multiclass RNA-seq samples. An J; Kim K; Chae H; Kim S Methods; 2014 Oct; 69(3):306-14. PubMed ID: 24981074 [TBL] [Abstract][Full Text] [Related]
25. RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis. Hong F; Breitling R; McEntee CW; Wittner BS; Nemhauser JL; Chory J Bioinformatics; 2006 Nov; 22(22):2825-7. PubMed ID: 16982708 [TBL] [Abstract][Full Text] [Related]
26. Integrative proteomics and transcriptomics identify novel invasive-related biomarkers of non-functioning pituitary adenomas. Yu SY; Hong LC; Feng J; Wu YT; Zhang YZ Tumour Biol; 2016 Jul; 37(7):8923-30. PubMed ID: 26753958 [TBL] [Abstract][Full Text] [Related]
27. The R implementation of the CRAN package PATHChange, a tool to study genetic pathway alterations in transcriptomic data. Fontoura CA; Castellani G; Mombach JC Comput Biol Med; 2016 Nov; 78():76-80. PubMed ID: 27665533 [TBL] [Abstract][Full Text] [Related]
28. A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer. Chiquet J; Rigaill G; Sundqvist M Methods Mol Biol; 2019; 1883():143-160. PubMed ID: 30547399 [TBL] [Abstract][Full Text] [Related]
29. Efficient Application of De Novo RNA Assemblers for Proteomics Informed by Transcriptomics. Luge T; Fischer C; Sauer S J Proteome Res; 2016 Oct; 15(10):3938-3943. PubMed ID: 27523192 [TBL] [Abstract][Full Text] [Related]
30. Consensus framework for exploring microarray data using multiple clustering methods. Laderas T; McWeeney S OMICS; 2007; 11(1):116-28. PubMed ID: 17411399 [TBL] [Abstract][Full Text] [Related]
31. Integrating transcriptome and proteome profiling: Strategies and applications. Kumar D; Bansal G; Narang A; Basak T; Abbas T; Dash D Proteomics; 2016 Oct; 16(19):2533-2544. PubMed ID: 27343053 [TBL] [Abstract][Full Text] [Related]
32. 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]
33. mitch: multi-contrast pathway enrichment for multi-omics and single-cell profiling data. Kaspi A; Ziemann M BMC Genomics; 2020 Jun; 21(1):447. PubMed ID: 32600408 [TBL] [Abstract][Full Text] [Related]
34. Sex differences in the molecular signature of the developing mouse hippocampus. Bundy JL; Vied C; Nowakowski RS BMC Genomics; 2017 Mar; 18(1):237. PubMed ID: 28302071 [TBL] [Abstract][Full Text] [Related]
35. Linking transcriptomic and proteomic data on the level of protein interaction networks. Perco P; Mühlberger I; Mayer G; Oberbauer R; Lukas A; Mayer B Electrophoresis; 2010 Jun; 31(11):1780-9. PubMed ID: 20432478 [TBL] [Abstract][Full Text] [Related]
36. ToxDAR: A Workflow Software for Analyzing Toxicologically Relevant Proteomic and Transcriptomic Data, from Data Preparation to Toxicological Mechanism Elucidation. Jiang P; Zhang Z; Yu Q; Wang Z; Diao L; Li D Int J Mol Sci; 2024 Sep; 25(17):. PubMed ID: 39273492 [TBL] [Abstract][Full Text] [Related]
37. Identification of miR-145 targets through an integrated omics analysis. Huang TC; Renuse S; Pinto S; Kumar P; Yang Y; Chaerkady R; Godsey B; Mendell JT; Halushka MK; Civin CI; Marchionni L; Pandey A Mol Biosyst; 2015 Jan; 11(1):197-207. PubMed ID: 25354783 [TBL] [Abstract][Full Text] [Related]
38. GeneExpressionSignature: an R package for discovering functional connections using gene expression signatures. Li F; Cao Y; Han L; Cui X; Xie D; Wang S; Bo X OMICS; 2013 Feb; 17(2):116-8. PubMed ID: 23374109 [TBL] [Abstract][Full Text] [Related]
39. A novel method to prioritize RNAseq data for post-hoc analysis based on absolute changes in transcript abundance. McNutt P; Gut I; Hubbard K; Beske P Stat Appl Genet Mol Biol; 2015 Jun; 14(3):227-41. PubMed ID: 25781714 [TBL] [Abstract][Full Text] [Related]
40. Connecting Proteomics to Next-Generation Sequencing: Proteogenomics and Its Current Applications in Biology. Low TY; Mohtar MA; Ang MY; Jamal R Proteomics; 2019 May; 19(10):e1800235. PubMed ID: 30431238 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]