BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

519 related articles for article (PubMed ID: 29330539)

  • 21. Imputation of missing values in lipidomic datasets.
    Frölich N; Klose C; Widén E; Ripatti S; Gerl MJ
    Proteomics; 2024 Apr; ():e2300606. PubMed ID: 38602226
    [TBL] [Abstract][Full Text] [Related]  

  • 22. BayesMetab: treatment of missing values in metabolomic studies using a Bayesian modeling approach.
    Shah J; Brock GN; Gaskins J
    BMC Bioinformatics; 2019 Dec; 20(Suppl 24):673. PubMed ID: 31861984
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Statistics and Machine Learning in Mass Spectrometry-Based Metabolomics Analysis.
    Fan S; Wilson CM; Fridley BL; Li Q
    Methods Mol Biol; 2023; 2629():247-269. PubMed ID: 36929081
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Kernel weighted least square approach for imputing missing values of metabolomics data.
    Kumar N; Hoque MA; Sugimoto M
    Sci Rep; 2021 May; 11(1):11108. PubMed ID: 34045614
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Multiple Imputation Approaches Applied to the Missing Value Problem in Bottom-Up Proteomics.
    Gardner ML; Freitas MA
    Int J Mol Sci; 2021 Sep; 22(17):. PubMed ID: 34502557
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Optimization of Imputation Strategies for High-Resolution Gas Chromatography-Mass Spectrometry (HR GC-MS) Metabolomics Data.
    Ampong I; Zimmerman KD; Nathanielsz PW; Cox LA; Olivier M
    Metabolites; 2022 May; 12(5):. PubMed ID: 35629933
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Galaxy-M: a Galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics data.
    Davidson RL; Weber RJ; Liu H; Sharma-Oates A; Viant MR
    Gigascience; 2016; 5():10. PubMed ID: 26913198
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Left-Censored Missing Value Imputation Approach for MS-Based Proteomics Data with GSimp.
    Wei R; Wang J
    Methods Mol Biol; 2023; 2426():119-129. PubMed ID: 36308687
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A Workflow for Missing Values Imputation of Untargeted Metabolomics Data.
    Faquih T; van Smeden M; Luo J; le Cessie S; Kastenmüller G; Krumsiek J; Noordam R; van Heemst D; Rosendaal FR; van Hylckama Vlieg A; Willems van Dijk K; Mook-Kanamori DO
    Metabolites; 2020 Nov; 10(12):. PubMed ID: 33256233
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Robust imputation method for missing values in microarray data.
    Yoon D; Lee EK; Park T
    BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S6. PubMed ID: 17493255
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Comparison of imputation and imputation-free methods for statistical analysis of mass spectrometry data with missing data.
    Taylor S; Ponzini M; Wilson M; Kim K
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34472591
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A hybrid imputation approach for microarray missing value estimation.
    Li H; Zhao C; Shao F; Li GZ; Wang X
    BMC Genomics; 2015; 16 Suppl 9(Suppl 9):S1. PubMed ID: 26330180
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A real data-driven simulation strategy to select an imputation method for mixed-type trait data.
    May JA; Feng Z; Adamowicz SJ
    PLoS Comput Biol; 2023 Mar; 19(3):e1010154. PubMed ID: 36947561
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors.
    Galimard JE; Chevret S; Curis E; Resche-Rigon M
    BMC Med Res Methodol; 2018 Aug; 18(1):90. PubMed ID: 30170561
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Processing and analysis of GC/LC-MS-based metabolomics data.
    Want E; Masson P
    Methods Mol Biol; 2011; 708():277-98. PubMed ID: 21207297
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Ameliorative missing value imputation for robust biological knowledge inference.
    Sehgal MS; Gondal I; Dooley LS; Coppel R
    J Biomed Inform; 2008 Aug; 41(4):499-514. PubMed ID: 18334307
    [TBL] [Abstract][Full Text] [Related]  

  • 37. DNA microarray data imputation and significance analysis of differential expression.
    Jörnsten R; Wang HY; Welsh WJ; Ouyang M
    Bioinformatics; 2005 Nov; 21(22):4155-61. PubMed ID: 16118262
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data.
    Sehgal MS; Gondal I; Dooley LS
    Bioinformatics; 2005 May; 21(10):2417-23. PubMed ID: 15731210
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Missing data and multiple imputation in clinical epidemiological research.
    Pedersen AB; Mikkelsen EM; Cronin-Fenton D; Kristensen NR; Pham TM; Pedersen L; Petersen I
    Clin Epidemiol; 2017; 9():157-166. PubMed ID: 28352203
    [TBL] [Abstract][Full Text] [Related]  

  • 40.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 26.