BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

248 related articles for article (PubMed ID: 34605806)

  • 1. Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2.
    Liu S; Wang Z; Zhu R; Wang F; Cheng Y; Liu Y
    J Vis Exp; 2021 Sep; (175):. PubMed ID: 34605806
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Robust identification of differentially expressed genes from RNA-seq data.
    Shahjaman M; Manir Hossain Mollah M; Rezanur Rahman M; Islam SMS; Nurul Haque Mollah M
    Genomics; 2020 Mar; 112(2):2000-2010. PubMed ID: 31756426
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SARTools: A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data.
    Varet H; Brillet-Guéguen L; Coppée JY; Dillies MA
    PLoS One; 2016; 11(6):e0157022. PubMed ID: 27280887
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bacterial Differential Expression Analysis Methods.
    Utturkar S; Dassanayake A; Nagaraju S; Brown SD
    Methods Mol Biol; 2020; 2096():89-112. PubMed ID: 32720149
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Differential Expression Analysis in Single-Cell Transcriptomics.
    Alessandrì L; Arigoni M; Calogero R
    Methods Mol Biol; 2019; 1979():425-432. PubMed ID: 31028652
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A transcriptome software comparison for the analyses of treatments expected to give subtle gene expression responses.
    Thawng CN; Smith GB
    BMC Genomics; 2022 Jun; 23(1):452. PubMed ID: 35725382
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comparison of transcriptome analysis methods with reference genome.
    Liu X; Zhao J; Xue L; Zhao T; Ding W; Han Y; Ye H
    BMC Genomics; 2022 Mar; 23(1):232. PubMed ID: 35337265
    [TBL] [Abstract][Full Text] [Related]  

  • 8. In Papyro Comparison of TMM (edgeR), RLE (DESeq2), and MRN Normalization Methods for a Simple Two-Conditions-Without-Replicates RNA-Seq Experimental Design.
    Maza E
    Front Genet; 2016; 7():164. PubMed ID: 27695478
    [TBL] [Abstract][Full Text] [Related]  

  • 9. bestDEG: a web-based application automatically combines various tools to precisely predict differentially expressed genes (DEGs) from RNA-Seq data.
    Sangket U; Yodsawat P; Nuanpirom J; Sathapondecha P
    PeerJ; 2022; 10():e14344. PubMed ID: 36389403
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Benchmarking RNA-seq differential expression analysis methods using spike-in and simulation data.
    Baik B; Yoon S; Nam D
    PLoS One; 2020; 15(4):e0232271. PubMed ID: 32353015
    [TBL] [Abstract][Full Text] [Related]  

  • 11. RNA-Seq differential expression analysis: An extended review and a software tool.
    Costa-Silva J; Domingues D; Lopes FM
    PLoS One; 2017; 12(12):e0190152. PubMed ID: 29267363
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An evaluation of RNA-seq differential analysis methods.
    Li D; Zand MS; Dye TD; Goniewicz ML; Rahman I; Xie Z
    PLoS One; 2022; 17(9):e0264246. PubMed ID: 36112652
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Power analysis and sample size estimation for RNA-Seq differential expression.
    Ching T; Huang S; Garmire LX
    RNA; 2014 Nov; 20(11):1684-96. PubMed ID: 25246651
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Getting the most out of RNA-seq data analysis.
    Khang TF; Lau CY
    PeerJ; 2015; 3():e1360. PubMed ID: 26539333
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Aligning the Aligners: Comparison of RNA Sequencing Data Alignment and Gene Expression Quantification Tools for Clinical Breast Cancer Research.
    Raplee ID; Evsikov AV; Marín de Evsikova C
    J Pers Med; 2019 Apr; 9(2):. PubMed ID: 30987214
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Exaggerated false positives by popular differential expression methods when analyzing human population samples.
    Li Y; Ge X; Peng F; Li W; Li JJ
    Genome Biol; 2022 Mar; 23(1):79. PubMed ID: 35292087
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Establishment of bioinformatics pipeline for deciphering the biological complexities of fragmented sperm transcriptome.
    Ramya L; Swathi D; Archana SS; Lavanya M; Parthipan S; Selvaraju S
    Anal Biochem; 2021 May; 620():114141. PubMed ID: 33617829
    [TBL] [Abstract][Full Text] [Related]  

  • 18. BALLI: Bartlett-adjusted likelihood-based linear model approach for identifying differentially expressed genes with RNA-seq data.
    Park K; An J; Gim J; Seo M; Lee W; Park T; Won S
    BMC Genomics; 2019 Jul; 20(1):540. PubMed ID: 31266443
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Robustness of differential gene expression analysis of RNA-seq.
    Stupnikov A; McInerney CE; Savage KI; McIntosh SA; Emmert-Streib F; Kennedy R; Salto-Tellez M; Prise KM; McArt DG
    Comput Struct Biotechnol J; 2021; 19():3470-3481. PubMed ID: 34188784
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.