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 *

118 related articles for article (PubMed ID: 27578529)

  • 1. Large-Scale Discovery of Disease-Disease and Disease-Gene Associations.
    Gligorijevic D; Stojanovic J; Djuric N; Radosavljevic V; Grbovic M; Kulathinal RJ; Obradovic Z
    Sci Rep; 2016 Aug; 6():32404. PubMed ID: 27578529
    [TBL] [Abstract][Full Text] [Related]  

  • 2. IDENTIFYING GENETIC ASSOCIATIONS WITH VARIABILITY IN METABOLIC HEALTH AND BLOOD COUNT LABORATORY VALUES: DIVING INTO THE QUANTITATIVE TRAITS BY LEVERAGING LONGITUDINAL DATA FROM AN EHR.
    Verma SS; Lucas AM; Lavage DR; Leader JB; Metpally R; Krishnamurthy S; Dewey F; Borecki I; Lopez A; Overton J; Penn J; Reid J; Pendergrass SA; Breitwieser G; Ritchie MD
    Pac Symp Biocomput; 2017; 22():533-544. PubMed ID: 27897004
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Disease types discovery from a large database of inpatient records: A sepsis study.
    Gligorijevic D; Stojanovic J; Obradovic Z
    Methods; 2016 Dec; 111():45-55. PubMed ID: 27477211
    [TBL] [Abstract][Full Text] [Related]  

  • 4. OPENING THE DOOR TO THE LARGE SCALE USE OF CLINICAL LAB MEASURES FOR ASSOCIATION TESTING: EXPLORING DIFFERENT METHODS FOR DEFINING PHENOTYPES.
    Bauer CR; Lavage D; Snyder J; Leader J; Mahoney JM; Pendergrass SA
    Pac Symp Biocomput; 2017; 22():356-367. PubMed ID: 27896989
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using biofilter, and gene-environment interactions using the Phenx Toolkit*.
    Pendergrass SA; Verma SS; Hall MA; Holzinger ER; Moore CB; Wallace JR; Dudek SM; Huggins W; Kitchner T; Waudby C; Berg R; Mccarty CA; Ritchie MD
    Pac Symp Biocomput; 2015; ():495-505. PubMed ID: 25741542
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Translating genome wide association study results to associations among common diseases: in silico study with an electronic medical record.
    Anand V; Rosenman MB; Downs SM
    Int J Med Inform; 2013 Sep; 82(9):864-74. PubMed ID: 23743324
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study.
    Zhao J; Zhang Y; Schlueter DJ; Wu P; Eric Kerchberger V; Trent Rosenbloom S; Wells QS; Feng Q; Denny JC; Wei WQ
    J Biomed Inform; 2019 Oct; 98():103270. PubMed ID: 31445983
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Disease Heritability Inferred from Familial Relationships Reported in Medical Records.
    Polubriaginof FCG; Vanguri R; Quinnies K; Belbin GM; Yahi A; Salmasian H; Lorberbaum T; Nwankwo V; Li L; Shervey MM; Glowe P; Ionita-Laza I; Simmerling M; Hripcsak G; Bakken S; Goldstein D; Kiryluk K; Kenny EE; Dudley J; Vawdrey DK; Tatonetti NP
    Cell; 2018 Jun; 173(7):1692-1704.e11. PubMed ID: 29779949
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Electronic health records: the next wave of complex disease genetics.
    Wolford BN; Willer CJ; Surakka I
    Hum Mol Genet; 2018 May; 27(R1):R14-R21. PubMed ID: 29547983
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A machine learning-based framework to identify type 2 diabetes through electronic health records.
    Zheng T; Xie W; Xu L; He X; Zhang Y; You M; Yang G; Chen Y
    Int J Med Inform; 2017 Jan; 97():120-127. PubMed ID: 27919371
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Semi-supervised learning of the electronic health record for phenotype stratification.
    Beaulieu-Jones BK; Greene CS;
    J Biomed Inform; 2016 Dec; 64():168-178. PubMed ID: 27744022
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Informatics and machine learning to define the phenotype.
    Basile AO; Ritchie MD
    Expert Rev Mol Diagn; 2018 Mar; 18(3):219-226. PubMed ID: 29431517
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns.
    Bastarache L; Hughey JJ; Hebbring S; Marlo J; Zhao W; Ho WT; Van Driest SL; McGregor TL; Mosley JD; Wells QS; Temple M; Ramirez AH; Carroll R; Osterman T; Edwards T; Ruderfer D; Velez Edwards DR; Hamid R; Cogan J; Glazer A; Wei WQ; Feng Q; Brilliant M; Zhao ZJ; Cox NJ; Roden DM; Denny JC
    Science; 2018 Mar; 359(6381):1233-1239. PubMed ID: 29590070
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A flexible data-driven comorbidity feature extraction framework.
    Sideris C; Pourhomayoun M; Kalantarian H; Sarrafzadeh M
    Comput Biol Med; 2016 Jun; 73():165-72. PubMed ID: 27127895
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Speeding disease gene discovery by sequence based candidate prioritization.
    Adie EA; Adams RR; Evans KL; Porteous DJ; Pickard BS
    BMC Bioinformatics; 2005 Mar; 6():55. PubMed ID: 15766383
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Finding genome-transcriptome-phenome association with structured association mapping and visualization in GenAMap.
    Curtis RE; Yin J; Kinnaird P; Xing EP
    Pac Symp Biocomput; 2012; ():327-38. PubMed ID: 22174288
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record.
    Wei WQ; Bastarache LA; Carroll RJ; Marlo JE; Osterman TJ; Gamazon ER; Cox NJ; Roden DM; Denny JC
    PLoS One; 2017; 12(7):e0175508. PubMed ID: 28686612
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes.
    Melamed RD; Emmett KJ; Madubata C; Rzhetsky A; Rabadan R
    Nat Commun; 2015 Apr; 6():7033. PubMed ID: 25926297
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Finding genetic overlaps among diseases based on ranked gene lists.
    Chen Q; Zhou XJ; Sun F
    J Comput Biol; 2015 Feb; 22(2):111-23. PubMed ID: 25684200
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Syndrome to gene (S2G): in-silico identification of candidate genes for human diseases.
    Gefen A; Cohen R; Birk OS
    Hum Mutat; 2010 Mar; 31(3):229-36. PubMed ID: 20052752
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.