BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

193 related articles for article (PubMed ID: 31307390)

  • 1. Benchmarking subcellular localization and variant tolerance predictors on membrane proteins.
    Orioli T; Vihinen M
    BMC Genomics; 2019 Jul; 20(Suppl 8):547. PubMed ID: 31307390
    [TBL] [Abstract][Full Text] [Related]  

  • 2. How good are pathogenicity predictors in detecting benign variants?
    Niroula A; Vihinen M
    PLoS Comput Biol; 2019 Feb; 15(2):e1006481. PubMed ID: 30742610
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MSLVP: prediction of multiple subcellular localization of viral proteins using a support vector machine.
    Thakur A; Rajput A; Kumar M
    Mol Biosyst; 2016 Jul; 12(8):2572-86. PubMed ID: 27272007
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Protein subcellular localization prediction using multiple kernel learning based support vector machine.
    Hasan MA; Ahmad S; Molla MK
    Mol Biosyst; 2017 Mar; 13(4):785-795. PubMed ID: 28247893
    [TBL] [Abstract][Full Text] [Related]  

  • 5. mPLR-Loc: an adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction.
    Wan S; Mak MW; Kung SY
    Anal Biochem; 2015 Mar; 473():14-27. PubMed ID: 25449328
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of rat protein subcellular localization with pseudo amino acid composition based on multiple sequential features.
    Shi R; Xu C
    Protein Pept Lett; 2011 Jun; 18(6):625-33. PubMed ID: 21309740
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Severity of Disease-Causing Variants.
    Niroula A; Vihinen M
    Hum Mutat; 2017 Apr; 38(4):357-364. PubMed ID: 28070986
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance of protein disorder prediction programs on amino acid substitutions.
    Ali H; Urolagin S; Gurarslan Ö; Vihinen M
    Hum Mutat; 2014 Jul; 35(7):794-804. PubMed ID: 24753228
    [TBL] [Abstract][Full Text] [Related]  

  • 9. pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC.
    Cheng X; Xiao X; Chou KC
    Mol Biosyst; 2017 Aug; 13(9):1722-1727. PubMed ID: 28702580
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Pred-MutHTP: Prediction of disease-causing and neutral mutations in human transmembrane proteins.
    Kulandaisamy A; Zaucha J; Sakthivel R; Frishman D; Michael Gromiha M
    Hum Mutat; 2020 Mar; 41(3):581-590. PubMed ID: 31821684
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assessing performance of pathogenicity predictors using clinically relevant variant datasets.
    Gunning AC; Fryer V; Fasham J; Crosby AH; Ellard S; Baple EL; Wright CF
    J Med Genet; 2021 Aug; 58(8):547-555. PubMed ID: 32843488
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using deep mutational scanning to benchmark variant effect predictors and identify disease mutations.
    Livesey BJ; Marsh JA
    Mol Syst Biol; 2020 Jul; 16(7):e9380. PubMed ID: 32627955
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble.
    Wang X; Zhang J; Li GZ
    BMC Bioinformatics; 2015; 16 Suppl 12(Suppl 12):S1. PubMed ID: 26329681
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting viral protein subcellular localization with Chou's pseudo amino acid composition and imbalance-weighted multi-label K-nearest neighbor algorithm.
    Cao JZ; Liu WQ; Gu H
    Protein Pept Lett; 2012 Nov; 19(11):1163-9. PubMed ID: 22185509
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of bacterial protein subcellular localization by incorporating various features into Chou's PseAAC and a backward feature selection approach.
    Li L; Yu S; Xiao W; Li Y; Li M; Huang L; Zheng X; Zhou S; Yang H
    Biochimie; 2014 Sep; 104():100-7. PubMed ID: 24929100
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhancing membrane protein subcellular localization prediction by parallel fusion of multi-view features.
    Yu D; Wu X; Shen H; Yang J; Tang Z; Qi Y; Yang J
    IEEE Trans Nanobioscience; 2012 Dec; 11(4):375-85. PubMed ID: 22875262
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins.
    Wan S; Mak MW; Kung SY
    BMC Bioinformatics; 2016 Feb; 17():97. PubMed ID: 26911432
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Variation benchmark datasets: update, criteria, quality and applications.
    Sarkar A; Yang Y; Vihinen M
    Database (Oxford); 2020 Jan; 2020():. PubMed ID: 32016318
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Surface Proteome Biotinylation Combined with Bioinformatic Tools as a Strategy for Predicting Pathogen Interacting Proteins.
    Horvatić A; Kuleš J; Guillemin N; Martinković F; Štimac I; Mrljak V; Bhide M
    Methods Mol Biol; 2018; 1734():83-96. PubMed ID: 29288449
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Representativeness of variation benchmark datasets.
    Schaafsma GCP; Vihinen M
    BMC Bioinformatics; 2018 Nov; 19(1):461. PubMed ID: 30497376
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.