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 *

179 related articles for article (PubMed ID: 38557673)

  • 1. IMPRINTS.CETSA and IMPRINTS.CETSA.app: an R package and a Shiny application for the analysis and interpretation of IMPRINTS-CETSA data.
    Gerault MA; Granjeaud S; Camoin L; Nordlund P; Dai L
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38557673
    [TBL] [Abstract][Full Text] [Related]  

  • 2. ProSAP: a GUI software tool for statistical analysis and assessment of thermal stability data.
    Ji H; Lu X; Zheng Z; Sun S; Tan CSH
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35246677
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CETSA in integrated proteomics studies of cellular processes.
    Prabhu N; Dai L; Nordlund P
    Curr Opin Chem Biol; 2020 Feb; 54():54-62. PubMed ID: 31838273
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Horizontal Cell Biology: Monitoring Global Changes of Protein Interaction States with the Proteome-Wide Cellular Thermal Shift Assay (CETSA).
    Dai L; Prabhu N; Yu LY; Bacanu S; Ramos AD; Nordlund P
    Annu Rev Biochem; 2019 Jun; 88():383-408. PubMed ID: 30939043
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DEGGs: an R package with shiny app for the identification of differentially expressed gene-gene interactions in high-throughput sequencing data.
    Sciacca E; Alaimo S; Silluzio G; Ferro A; Latora V; Pitzalis C; Pulvirenti A; Lewis MJ
    Bioinformatics; 2023 Apr; 39(4):. PubMed ID: 37084249
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Inflect: Optimizing Computational Workflows for Thermal Proteome Profiling Data Analysis.
    McCracken NA; Peck Justice SA; Wijeratne AB; Mosley AL
    J Proteome Res; 2021 Apr; 20(4):1874-1888. PubMed ID: 33660510
    [TBL] [Abstract][Full Text] [Related]  

  • 7. RawHummus: an R Shiny app for automated raw data quality control in metabolomics.
    Dong Y; Kazachkova Y; Gou M; Morgan L; Wachsman T; Gazit E; Birkler RID
    Bioinformatics; 2022 Mar; 38(7):2072-2074. PubMed ID: 35080628
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CETSA and thermal proteome profiling strategies for target identification and drug discovery of natural products.
    Tu Y; Tan L; Tao H; Li Y; Liu H
    Phytomedicine; 2023 Jul; 116():154862. PubMed ID: 37216761
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets.
    Mullan KA; Bramberger LM; Munday PR; Goncalves G; Revote J; Mifsud NA; Illing PT; Anderson A; Kwan P; Purcell AW; Li C
    Comput Struct Biotechnol J; 2021; 19():5735-5740. PubMed ID: 34745458
    [TBL] [Abstract][Full Text] [Related]  

  • 10. netGO: R-Shiny package for network-integrated pathway enrichment analysis.
    Kim J; Yoon S; Nam D
    Bioinformatics; 2020 May; 36(10):3283-3285. PubMed ID: 32083639
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving pharmacometrics analysis efficiency using DataCheQC: An interactive, Shiny-based app for quality control of pharmacometrics datasets.
    Dotan O; Radivojevic A; Singh R
    CPT Pharmacometrics Syst Pharmacol; 2023 Oct; 12(10):1375-1385. PubMed ID: 37593837
    [TBL] [Abstract][Full Text] [Related]  

  • 12. GRcalculator: an online tool for calculating and mining dose-response data.
    Clark NA; Hafner M; Kouril M; Williams EH; Muhlich JL; Pilarczyk M; Niepel M; Sorger PK; Medvedovic M
    BMC Cancer; 2017 Oct; 17(1):698. PubMed ID: 29065900
    [TBL] [Abstract][Full Text] [Related]  

  • 13. TCC-GUI: a Shiny-based application for differential expression analysis of RNA-Seq count data.
    Su W; Sun J; Shimizu K; Kadota K
    BMC Res Notes; 2019 Mar; 12(1):133. PubMed ID: 30867032
    [TBL] [Abstract][Full Text] [Related]  

  • 14. BCyto: A shiny app for flow cytometry data analysis.
    Bonilha CS
    Mol Cell Probes; 2022 Oct; 65():101848. PubMed ID: 35933055
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dynamic assessment of microbial ecology (DAME): a web app for interactive analysis and visualization of microbial sequencing data.
    Piccolo BD; Wankhade UD; Chintapalli SV; Bhattacharyya S; Chunqiao L; Shankar K
    Bioinformatics; 2018 Mar; 34(6):1050-1052. PubMed ID: 29087435
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis.
    Badgeley MA; Liu M; Glicksberg BS; Shervey M; Zech J; Shameer K; Lehar J; Oermann EK; McConnell MV; Snyder TM; Dudley JT
    Bioinformatics; 2019 May; 35(9):1610-1612. PubMed ID: 30304439
    [TBL] [Abstract][Full Text] [Related]  

  • 17. NormalizeMets: assessing, selecting and implementing statistical methods for normalizing metabolomics data.
    De Livera AM; Olshansky G; Simpson JA; Creek DJ
    Metabolomics; 2018 Mar; 14(5):54. PubMed ID: 30830328
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning based CETSA feature prediction cross multiple cell lines with latent space representation.
    Zhao S; Yang X; Zeng Z; Qian P; Zhao Z; Dai L; Prabhu N; Nordlund P; Tam WL
    Sci Rep; 2024 Jan; 14(1):1878. PubMed ID: 38253642
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Two-dimensional electrophoresis-cellular thermal shift assay (2DE-CETSA) for target identification of bioactive compounds.
    Muroi M; Osada H
    Methods Enzymol; 2022; 675():425-437. PubMed ID: 36220280
    [TBL] [Abstract][Full Text] [Related]  

  • 20. spatialTIME and iTIME: R package and Shiny application for visualization and analysis of immunofluorescence data.
    Creed JH; Wilson CM; Soupir AC; Colin-Leitzinger CM; Kimmel GJ; Ospina OE; Chakiryan NH; Markowitz J; Peres LC; Coghill A; Fridley BL
    Bioinformatics; 2021 Dec; 37(23):4584-4586. PubMed ID: 34734969
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.