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 *

128 related articles for article (PubMed ID: 36567960)

  • 1. Deep learning models for predicting RNA degradation via dual crowdsourcing.
    Wayment-Steele HK; Kladwang W; Watkins AM; Kim DS; Tunguz B; Reade W; Demkin M; Romano J; Wellington-Oguri R; Nicol JJ; Gao J; Onodera K; Fujikawa K; Mao H; Vandewiele G; Tinti M; Steenwinckel B; Ito T; Noumi T; He S; Ishi K; Lee Y; Öztürk F; Chiu KY; Öztürk E; Amer K; Fares M; ; Das R
    Nat Mach Intell; 2022; 4(12):1174-1184. PubMed ID: 36567960
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning models for predicting RNA degradation via dual crowdsourcing.
    Wayment-Steele HK; Kladwang W; Watkins AM; Kim DS; Tunguz B; Reade W; Demkin M; Romano J; Wellington-Oguri R; Nicol JJ; Gao J; Onodera K; Fujikawa K; Mao H; Vandewiele G; Tinti M; Steenwinckel B; Ito T; Noumi T; He S; Ishi K; Lee Y; Öztürk F; Chiu A; Öztürk E; Amer K; Fares M; Participants E; Das R
    ArXiv; 2021 Oct; ():. PubMed ID: 34671698
    [TBL] [Abstract][Full Text] [Related]  

  • 3. RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning.
    He S; Gao B; Sabnis R; Sun Q
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36633966
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ribonanza: deep learning of RNA structure through dual crowdsourcing.
    He S; Huang R; Townley J; Kretsch RC; Karagianes TG; Cox DBT; Blair H; Penzar D; Vyaltsev V; Aristova E; Zinkevich A; Bakulin A; Sohn H; Krstevski D; Fukui T; Tatematsu F; Uchida Y; Jang D; Lee JS; Shieh R; Ma T; Martynov E; Shugaev MV; Bukhari HST; Fujikawa K; Onodera K; Henkel C; Ron S; Romano J; Nicol JJ; Nye GP; Wu Y; Choe C; Reade W; ; Das R
    bioRxiv; 2024 Jun; ():. PubMed ID: 38464325
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Theoretical basis for stabilizing messenger RNA through secondary structure design.
    Wayment-Steele HK; Kim DS; Choe CA; Nicol JJ; Wellington-Oguri R; Watkins AM; Sperberg RAP; Huang PS; Participants E; Das R
    bioRxiv; 2021 Feb; ():. PubMed ID: 32869022
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk.
    Shakeri Hossein Abad Z; Butler GP; Thompson W; Lee J
    J Med Internet Res; 2022 Jan; 24(1):e28749. PubMed ID: 35040794
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation.
    Qaid TS; Mazaar H; Alqahtani MS; Raweh AA; Alakwaa W
    PeerJ Comput Sci; 2021; 7():e597. PubMed ID: 34239977
    [TBL] [Abstract][Full Text] [Related]  

  • 8. AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.
    Albarqouni S; Baur C; Achilles F; Belagiannis V; Demirci S; Navab N
    IEEE Trans Med Imaging; 2016 May; 35(5):1313-21. PubMed ID: 26891484
    [TBL] [Abstract][Full Text] [Related]  

  • 9. DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences.
    Kaminuma E; Baba Y; Mochizuki M; Matsumoto H; Ozaki H; Okayama T; Kato T; Oki S; Fujisawa T; Nakamura Y; Arita M; Ogasawara O; Kashima H; Takagi T
    Genes Genet Syst; 2020 Apr; 95(1):43-50. PubMed ID: 32213716
    [TBL] [Abstract][Full Text] [Related]  

  • 10. RNA-targeted small-molecule drug discoveries: a machine-learning perspective.
    Xiao H; Yang X; Zhang Y; Zhang Z; Zhang G; Zhang BT
    RNA Biol; 2023 Jan; 20(1):384-397. PubMed ID: 37337437
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Laboratory earthquake forecasting: A machine learning competition.
    Johnson PA; Rouet-Leduc B; Pyrak-Nolte LJ; Beroza GC; Marone CJ; Hulbert C; Howard A; Singer P; Gordeev D; Karaflos D; Levinson CJ; Pfeiffer P; Puk KM; Reade W
    Proc Natl Acad Sci U S A; 2021 Feb; 118(5):. PubMed ID: 33495346
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service.
    Noel-Storr A; Dooley G; Affengruber L; Gartlehner G
    J Clin Epidemiol; 2021 Feb; 130():23-31. PubMed ID: 33007457
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Crowdsourced dataset to study the generation and impact of text highlighting in classification tasks.
    Ramírez J; Baez M; Casati F; Benatallah B
    BMC Res Notes; 2019 Dec; 12(1):820. PubMed ID: 31864400
    [TBL] [Abstract][Full Text] [Related]  

  • 14. RNA design rules from a massive open laboratory.
    Lee J; Kladwang W; Lee M; Cantu D; Azizyan M; Kim H; Limpaecher A; Yoon S; Treuille A; Das R;
    Proc Natl Acad Sci U S A; 2014 Feb; 111(6):2122-7. PubMed ID: 24469816
    [TBL] [Abstract][Full Text] [Related]  

  • 15. OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.
    Lossio-Ventura JA; Hogan W; Modave F; Guo Y; He Z; Yang X; Zhang H; Bian J
    BMC Med Inform Decis Mak; 2018 Jul; 18(Suppl 2):55. PubMed ID: 30066655
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A study of crowdsourced segment-level surgical skill assessment using pairwise rankings.
    Malpani A; Vedula SS; Chen CC; Hager GD
    Int J Comput Assist Radiol Surg; 2015 Sep; 10(9):1435-47. PubMed ID: 26133652
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The cure: design and evaluation of a crowdsourcing game for gene selection for breast cancer survival prediction.
    Good BM; Loguercio S; Griffith OL; Nanis M; Wu C; Su AI
    JMIR Serious Games; 2014 Jul; 2(2):e7. PubMed ID: 25654473
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics.
    Leppek K; Byeon GW; Kladwang W; Wayment-Steele HK; Kerr CH; Xu AF; Kim DS; Topkar VV; Choe C; Rothschild D; Tiu GC; Wellington-Oguri R; Fujii K; Sharma E; Watkins AM; Nicol JJ; Romano J; Tunguz B; Diaz F; Cai H; Guo P; Wu J; Meng F; Shi S; Participants E; Dormitzer PR; Solórzano A; Barna M; Das R
    Nat Commun; 2022 Mar; 13(1):1536. PubMed ID: 35318324
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processing.
    Zhai H; Lingren T; Deleger L; Li Q; Kaiser M; Stoutenborough L; Solti I
    J Med Internet Res; 2013 Apr; 15(4):e73. PubMed ID: 23548263
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.