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 *

107 related articles for article (PubMed ID: 33617647)

  • 1. Inferring perturbation profiles of cancer samples.
    Pirkl M; Beerenwinkel N
    Bioinformatics; 2021 Aug; 37(16):2441-2449. PubMed ID: 33617647
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identifying cancer pathway dysregulations using differential causal effects.
    Jablonski KP; Pirkl M; Ćevid D; Bühlmann P; Beerenwinkel N
    Bioinformatics; 2022 Mar; 38(6):1550-1559. PubMed ID: 34927666
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Inferring modulators of genetic interactions with epistatic nested effects models.
    Pirkl M; Diekmann M; van der Wees M; Beerenwinkel N; Fröhlich H; Markowetz F
    PLoS Comput Biol; 2017 Apr; 13(4):e1005496. PubMed ID: 28406896
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Inferring signalling dynamics by integrating interventional with observational data.
    Cardner M; Meyer-Schaller N; Christofori G; Beerenwinkel N
    Bioinformatics; 2019 Jul; 35(14):i577-i585. PubMed ID: 31510686
    [TBL] [Abstract][Full Text] [Related]  

  • 5. syntenet: an R/Bioconductor package for the inference and analysis of synteny networks.
    Almeida-Silva F; Zhao T; Ullrich KK; Schranz ME; Van de Peer Y
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36539202
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Single cell network analysis with a mixture of Nested Effects Models.
    Pirkl M; Beerenwinkel N
    Bioinformatics; 2018 Sep; 34(17):i964-i971. PubMed ID: 30423100
    [TBL] [Abstract][Full Text] [Related]  

  • 7. RTNsurvival: an R/Bioconductor package for regulatory network survival analysis.
    Groeneveld CS; Chagas VS; Jones SJM; Robertson AG; Ponder BAJ; Meyer KB; Castro MAA
    Bioinformatics; 2019 Nov; 35(21):4488-4489. PubMed ID: 30923832
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer.
    Gendoo DM; Ratanasirigulchai N; Schröder MS; Paré L; Parker JS; Prat A; Haibe-Kains B
    Bioinformatics; 2016 Apr; 32(7):1097-9. PubMed ID: 26607490
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PrInCE: an R/Bioconductor package for protein-protein interaction network inference from co-fractionation mass spectrometry data.
    Skinnider MA; Cai C; Stacey RG; Foster LJ
    Bioinformatics; 2021 Sep; 37(17):2775-2777. PubMed ID: 33471077
    [TBL] [Abstract][Full Text] [Related]  

  • 10. decoupleR: ensemble of computational methods to infer biological activities from omics data.
    Badia-I-Mompel P; Vélez Santiago J; Braunger J; Geiss C; Dimitrov D; Müller-Dott S; Taus P; Dugourd A; Holland CH; Ramirez Flores RO; Saez-Rodriguez J
    Bioinform Adv; 2022; 2(1):vbac016. PubMed ID: 36699385
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Megadepth: efficient coverage quantification for BigWigs and BAMs.
    Wilks C; Ahmed O; Baker DN; Zhang D; Collado-Torres L; Langmead B
    Bioinformatics; 2021 Sep; 37(18):3014-3016. PubMed ID: 33693500
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting mechanism of action of cellular perturbations with pathway activity signatures.
    Ren Y; Sivaganesan S; Clark NA; Zhang L; Biesiada J; Niu W; Plas DR; Medvedovic M
    Bioinformatics; 2020 Sep; 36(18):4781-4788. PubMed ID: 32653926
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Synaptome.db: a bioconductor package for synaptic proteomics data.
    Sorokina O; Sorokin A; Armstrong JD
    Bioinform Adv; 2022; 2(1):vbac086. PubMed ID: 36699346
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifiability and experimental design in perturbation studies.
    Gross T; Blüthgen N
    Bioinformatics; 2020 Jul; 36(Suppl_1):i482-i489. PubMed ID: 32657359
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Inferring the perturbation time from biological time course data.
    Yang J; Penfold CA; Grant MR; Rattray M
    Bioinformatics; 2016 Oct; 32(19):2956-64. PubMed ID: 27288495
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inferring gene targets of drugs and chemical compounds from gene expression profiles.
    Noh H; Gunawan R
    Bioinformatics; 2016 Jul; 32(14):2120-7. PubMed ID: 27153589
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Inferring the experimental design for accurate gene regulatory network inference.
    Seçilmiş D; Hillerton T; Nelander S; Sonnhammer ELL
    Bioinformatics; 2021 Oct; 37(20):3553-3559. PubMed ID: 33978748
    [TBL] [Abstract][Full Text] [Related]  

  • 18. monaLisa: an R/Bioconductor package for identifying regulatory motifs.
    Machlab D; Burger L; Soneson C; Rijli FM; Schübeler D; Stadler MB
    Bioinformatics; 2022 Apr; 38(9):2624-2625. PubMed ID: 35199152
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. rGREAT: an R/bioconductor package for functional enrichment on genomic regions.
    Gu Z; Hübschmann D
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36394265
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.