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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

85 related articles for article (PubMed ID: 29280999)

  • 1. Multiple hot-deck imputation for network inference from RNA sequencing data.
    Imbert A; Valsesia A; Le Gall C; Armenise C; Lefebvre G; Gourraud PA; Viguerie N; Villa-Vialaneix N
    Bioinformatics; 2018 May; 34(10):1726-1732. PubMed ID: 29280999
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. smallWig: parallel compression of RNA-seq WIG files.
    Wang Z; Weissman T; Milenkovic O
    Bioinformatics; 2016 Jan; 32(2):173-80. PubMed ID: 26424856
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks.
    Zhang R; Ren Z; Chen W
    PLoS Comput Biol; 2018 Aug; 14(8):e1006369. PubMed ID: 30102702
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models.
    Rau A; Maugis-Rabusseau C; Martin-Magniette ML; Celeux G
    Bioinformatics; 2015 May; 31(9):1420-7. PubMed ID: 25563332
    [TBL] [Abstract][Full Text] [Related]  

  • 6. DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data.
    Sun Z; Wang T; Deng K; Wang XF; Lafyatis R; Ding Y; Hu M; Chen W
    Bioinformatics; 2018 Jan; 34(1):139-146. PubMed ID: 29036318
    [TBL] [Abstract][Full Text] [Related]  

  • 7. corto: a lightweight R package for gene network inference and master regulator analysis.
    Mercatelli D; Lopez-Garcia G; Giorgi FM
    Bioinformatics; 2020 Jun; 36(12):3916-3917. PubMed ID: 32232425
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation.
    Matsumoto H; Kiryu H; Furusawa C; Ko MSH; Ko SBH; Gouda N; Hayashi T; Nikaido I
    Bioinformatics; 2017 Aug; 33(15):2314-2321. PubMed ID: 28379368
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CRNET: an efficient sampling approach to infer functional regulatory networks by integrating large-scale ChIP-seq and time-course RNA-seq data.
    Chen X; Gu J; Wang X; Jung JG; Wang TL; Hilakivi-Clarke L; Clarke R; Xuan J
    Bioinformatics; 2018 May; 34(10):1733-1740. PubMed ID: 29280996
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CONDOP: an R package for CONdition-Dependent Operon Predictions.
    Fortino V; Tagliaferri R; Greco D
    Bioinformatics; 2016 Oct; 32(20):3199-3200. PubMed ID: 27296981
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Two-phase differential expression analysis for single cell RNA-seq.
    Wu Z; Zhang Y; Stitzel ML; Wu H
    Bioinformatics; 2018 Oct; 34(19):3340-3348. PubMed ID: 29688282
    [TBL] [Abstract][Full Text] [Related]  

  • 12. QuASAR: quantitative allele-specific analysis of reads.
    Harvey CT; Moyerbrailean GA; Davis GO; Wen X; Luca F; Pique-Regi R
    Bioinformatics; 2015 Apr; 31(8):1235-42. PubMed ID: 25480375
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Unsupervised multiple kernel learning for heterogeneous data integration.
    Mariette J; Villa-Vialaneix N
    Bioinformatics; 2018 Mar; 34(6):1009-1015. PubMed ID: 29077792
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. EBSeq-HMM: a Bayesian approach for identifying gene-expression changes in ordered RNA-seq experiments.
    Leng N; Li Y; McIntosh BE; Nguyen BK; Duffin B; Tian S; Thomson JA; Dewey CN; Stewart R; Kendziorski C
    Bioinformatics; 2015 Aug; 31(16):2614-22. PubMed ID: 25847007
    [TBL] [Abstract][Full Text] [Related]  

  • 16. STAble: a novel approach to de novo assembly of RNA-seq data and its application in a metabolic model network based metatranscriptomic workflow.
    Saggese I; Bona E; Conway M; Favero F; Ladetto M; Liò P; Manzini G; Mignone F
    BMC Bioinformatics; 2018 Jul; 19(Suppl 7):184. PubMed ID: 30066630
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments.
    Vrahatis AG; Balomenos P; Tsakalidis AK; Bezerianos A
    Bioinformatics; 2016 Dec; 32(24):3844-3846. PubMed ID: 27542770
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. SparseIso: a novel Bayesian approach to identify alternatively spliced isoforms from RNA-seq data.
    Shi X; Wang X; Wang TL; Hilakivi-Clarke L; Clarke R; Xuan J
    Bioinformatics; 2018 Jan; 34(1):56-63. PubMed ID: 28968634
    [TBL] [Abstract][Full Text] [Related]  

  • 20. INSPEcT: a computational tool to infer mRNA synthesis, processing and degradation dynamics from RNA- and 4sU-seq time course experiments.
    de Pretis S; Kress T; Morelli MJ; Melloni GE; Riva L; Amati B; Pelizzola M
    Bioinformatics; 2015 Sep; 31(17):2829-35. PubMed ID: 25957348
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.