BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

80 related articles for article (PubMed ID: 27402901)

  • 1. A subpopulation model to analyze heterogeneous cell differentiation dynamics.
    Chan YH; Intosalmi J; Rautio S; Lähdesmäki H
    Bioinformatics; 2016 Nov; 32(21):3306-3313. PubMed ID: 27402901
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Data-driven mechanistic analysis method to reveal dynamically evolving regulatory networks.
    Intosalmi J; Nousiainen K; Ahlfors H; Lähdesmäki H
    Bioinformatics; 2016 Jun; 32(12):i288-i296. PubMed ID: 27307629
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Methods for time series analysis of RNA-seq data with application to human Th17 cell differentiation.
    Äijö T; Butty V; Chen Z; Salo V; Tripathi S; Burge CB; Lahesmaa R; Lähdesmäki H
    Bioinformatics; 2014 Jun; 30(12):i113-20. PubMed ID: 24931974
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sorad: a systems biology approach to predict and modulate dynamic signaling pathway response from phosphoproteome time-course measurements.
    Äijö T; Granberg K; Lähdesmäki H
    Bioinformatics; 2013 May; 29(10):1283-91. PubMed ID: 23505293
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing data.
    Intosalmi J; Ahlfors H; Rautio S; Mannerstöm H; Chen ZJ; Lahesmaa R; Stockinger B; Lähdesmäki H
    BMC Syst Biol; 2015 Nov; 9():81. PubMed ID: 26578352
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MixChIP: a probabilistic method for cell type specific protein-DNA binding analysis.
    Rautio S; Lähdesmäki H
    BMC Bioinformatics; 2015 Dec; 16():413. PubMed ID: 26703974
    [TBL] [Abstract][Full Text] [Related]  

  • 7. BinDNase: a discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data.
    Kähärä J; Lähdesmäki H
    Bioinformatics; 2015 Sep; 31(17):2852-9. PubMed ID: 25957350
    [TBL] [Abstract][Full Text] [Related]  

  • 8. LuxGLM: a probabilistic covariate model for quantification of DNA methylation modifications with complex experimental designs.
    Äijö T; Yue X; Rao A; Lähdesmäki H
    Bioinformatics; 2016 Sep; 32(17):i511-i519. PubMed ID: 27587669
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization.
    Ammad-Ud-Din M; Khan SA; Malani D; Murumägi A; Kallioniemi O; Aittokallio T; Kaski S
    Bioinformatics; 2016 Sep; 32(17):i455-i463. PubMed ID: 27587662
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Single-cell transcriptional analysis to uncover regulatory circuits driving cell fate decisions in early mouse development.
    Chen H; Guo J; Mishra SK; Robson P; Niranjan M; Zheng J
    Bioinformatics; 2015 Apr; 31(7):1060-6. PubMed ID: 25416748
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Time-evolution of age-dependent mortality patterns in mathematical model of heterogeneous human population.
    Avraam D; Arnold-Gaille S; Jones D; Vasiev B
    Exp Gerontol; 2014 Dec; 60():18-30. PubMed ID: 25219506
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A computational strategy for predicting lineage specifiers in stem cell subpopulations.
    Okawa S; del Sol A
    Stem Cell Res; 2015 Sep; 15(2):427-34. PubMed ID: 26368290
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and molecular composition of the hepatic progenitor cell niche.
    Vestentoft PS
    Dan Med J; 2013 May; 60(5):B4640. PubMed ID: 23673270
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Targeted retrieval of gene expression measurements using regulatory models.
    Georgii E; Salojärvi J; Brosché M; Kangasjärvi J; Kaski S
    Bioinformatics; 2012 Sep; 28(18):2349-56. PubMed ID: 22743225
    [TBL] [Abstract][Full Text] [Related]  

  • 15. xHeinz: an algorithm for mining cross-species network modules under a flexible conservation model.
    El-Kebir M; Soueidan H; Hume T; Beisser D; Dittrich M; Müller T; Blin G; Heringa J; Nikolski M; Wessels LF; Klau GW
    Bioinformatics; 2015 Oct; 31(19):3147-55. PubMed ID: 26023104
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Programming strategy for efficient modeling of dynamics in a population of heterogeneous cells.
    Hald BO; Garkier Hendriksen M; Sørensen PG
    Bioinformatics; 2013 May; 29(10):1292-8. PubMed ID: 23505296
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Single-cell gene expression analysis reveals diversity among human spermatogonia.
    Neuhaus N; Yoon J; Terwort N; Kliesch S; Seggewiss J; Huge A; Voss R; Schlatt S; Grindberg RV; Schöler HR
    Mol Hum Reprod; 2017 Feb; 23(2):79-90. PubMed ID: 28093458
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Advanced Boolean modeling of biological networks applied to systems pharmacology.
    Irurzun-Arana I; Pastor JM; Trocóniz IF; Gómez-Mantilla JD
    Bioinformatics; 2017 Apr; 33(7):1040-1048. PubMed ID: 28073755
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analysis of aggregated cell-cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells.
    Schissler AG; Li Q; Chen JL; Kenost C; Achour I; Billheimer DD; Li H; Piegorsch WW; Lussier YA
    Bioinformatics; 2016 Jun; 32(12):i80-i89. PubMed ID: 27307648
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A mathematical model of mortality dynamics across the lifespan combining heterogeneity and stochastic effects.
    Avraam D; de Magalhaes JP; Vasiev B
    Exp Gerontol; 2013 Aug; 48(8):801-11. PubMed ID: 23707231
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.