BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

234 related articles for article (PubMed ID: 26162080)

  • 21. Differential expression analysis of RNA sequencing data by incorporating non-exonic mapped reads.
    Chen HI; Liu Y; Zou Y; Lai Z; Sarkar D; Huang Y; Chen Y
    BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S14. PubMed ID: 26099631
    [TBL] [Abstract][Full Text] [Related]  

  • 22. On goodness-of-fit measure for dendrogram-based analyses.
    Mérigot B; Durbec JP; Gaertner JC
    Ecology; 2010 Jun; 91(6):1850-9. PubMed ID: 20583725
    [TBL] [Abstract][Full Text] [Related]  

  • 23. PDEGEM: Modeling non-uniform read distribution in RNA-Seq data.
    Xia Y; Wang F; Qian M; Qin Z; Deng M
    BMC Med Genomics; 2015; 8 Suppl 2(Suppl 2):S14. PubMed ID: 26044773
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Identifying cell types from single-cell data based on similarities and dissimilarities between cells.
    Li Y; Luo P; Lu Y; Wu FX
    BMC Bioinformatics; 2021 May; 22(Suppl 3):255. PubMed ID: 34006217
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Comparison of normalization and differential expression analyses using RNA-Seq data from 726 individual Drosophila melanogaster.
    Lin Y; Golovnina K; Chen ZX; Lee HN; Negron YL; Sultana H; Oliver B; Harbison ST
    BMC Genomics; 2016 Jan; 17():28. PubMed ID: 26732976
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Single cell RNA-seq data clustering using TF-IDF based methods.
    Moussa M; Măndoiu II
    BMC Genomics; 2018 Aug; 19(Suppl 6):569. PubMed ID: 30367575
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Three dissimilarity measures to contrast dendrograms.
    Restrepo G; Mesa H; Llanos EJ
    J Chem Inf Model; 2007; 47(3):761-70. PubMed ID: 17465522
    [TBL] [Abstract][Full Text] [Related]  

  • 28. SimFuse: A Novel Fusion Simulator for RNA Sequencing (RNA-Seq) Data.
    Tan Y; Tambouret Y; Monti S
    Biomed Res Int; 2015; 2015():780519. PubMed ID: 26839886
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Bootstrap-based differential gene expression analysis for RNA-Seq data with and without replicates.
    Al Seesi S; Tiagueu YT; Zelikovsky A; Măndoiu II
    BMC Genomics; 2014; 15 Suppl 8(Suppl 8):S2. PubMed ID: 25435284
    [TBL] [Abstract][Full Text] [Related]  

  • 30. CellBIC: bimodality-based top-down clustering of single-cell RNA sequencing data reveals hierarchical structure of the cell type.
    Kim J; Stanescu DE; Won KJ
    Nucleic Acids Res; 2018 Nov; 46(21):e124. PubMed ID: 30102368
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A multi-Poisson dynamic mixture model to cluster developmental patterns of gene expression by RNA-seq.
    Ye M; Wang Z; Wang Y; Wu R
    Brief Bioinform; 2015 Mar; 16(2):205-15. PubMed ID: 24817567
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Variance component score test for time-course gene set analysis of longitudinal RNA-seq data.
    Agniel D; Hejblum BP
    Biostatistics; 2017 Oct; 18(4):589-604. PubMed ID: 28334305
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Gene Ontology based housekeeping gene selection for RNA-seq normalization.
    Chen CM; Lu YL; Sio CP; Wu GC; Tzou WS; Pai TW
    Methods; 2014 Jun; 67(3):354-63. PubMed ID: 24561167
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Estimation of isoform expression in RNA-seq data using a hierarchical Bayesian model.
    Wang Z; Wang J; Wu C; Deng M
    J Bioinform Comput Biol; 2015 Dec; 13(6):1542001. PubMed ID: 26388142
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Gene dispersion is the key determinant of the read count bias in differential expression analysis of RNA-seq data.
    Yoon S; Nam D
    BMC Genomics; 2017 May; 18(1):408. PubMed ID: 28545404
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Read-Split-Run: an improved bioinformatics pipeline for identification of genome-wide non-canonical spliced regions using RNA-Seq data.
    Bai Y; Kinne J; Donham B; Jiang F; Ding L; Hassler JR; Kaufman RJ
    BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):503. PubMed ID: 27556805
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Assessment of data transformations for model-based clustering of RNA-Seq data.
    Noel-MacDonnell JR; Usset J; Goode EL; Fridley BL
    PLoS One; 2018; 13(2):e0191758. PubMed ID: 29485993
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Comparison Study on Similarity and Dissimilarity Measures in Clustering Continuous Data.
    Shirkhorshidi AS; Aghabozorgi S; Wah TY
    PLoS One; 2015; 10(12):e0144059. PubMed ID: 26658987
    [TBL] [Abstract][Full Text] [Related]  

  • 39. An improved model for whole genome phylogenetic analysis by Fourier transform.
    Yin C; Yau SS
    J Theor Biol; 2015 Oct; 382():99-110. PubMed ID: 26151589
    [TBL] [Abstract][Full Text] [Related]  

  • 40. It's DE-licious: A Recipe for Differential Expression Analyses of RNA-seq Experiments Using Quasi-Likelihood Methods in edgeR.
    Lun AT; Chen Y; Smyth GK
    Methods Mol Biol; 2016; 1418():391-416. PubMed ID: 27008025
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.