@Sagebio model drives robustness, is feasible for public/private collaboration, and could dramatically accelerate discovery if widely adopted
RT @Sagebio: The poster: https://t.co/a3hO1s6fXG Abstract: Data competitions often rely on the physical distribution of data to challenge p…
RT @Sagebio: The poster: https://t.co/a3hO1s6fXG Abstract: Data competitions often rely on the physical distribution of data to challenge p…
RT @Sagebio: The poster: https://t.co/a3hO1s6fXG Abstract: Data competitions often rely on the physical distribution of data to challenge p…
The poster: https://t.co/a3hO1s6fXG Abstract: Data competitions often rely on the physical distribution of data to challenge participants, a significant limitation given that much data is proprietary, sensitive, and often non-shareable. The model-to-data (
RT @Sagebio: Our @justin_guinney presenting at #NeurIPS2019 on the Model-to-data paradigm. Related paper: https://t.co/fEzaMW6PK9 https://t…
RT @Sagebio: Our @justin_guinney presenting at #NeurIPS2019 on the Model-to-data paradigm. Related paper: https://t.co/fEzaMW6PK9 https://t…
RT @Sagebio: Our @justin_guinney presenting at #NeurIPS2019 on the Model-to-data paradigm. Related paper: https://t.co/fEzaMW6PK9 https://t…
Our @justin_guinney presenting at #NeurIPS2019 on the Model-to-data paradigm. Related paper: https://t.co/fEzaMW6PK9 https://t.co/lLD3rSIGcg
RT @NCIsysbio: Scientists @Sagebio #NCICSBC reviewed recent data challenges that address biomedical research questions and discuss lessons…
RT @Sagebio: Here's a recent paper that talks more about the model-to-data approach that's featured in the screenshot of the slide. https:/…
RT @NCIsysbio: Scientists @Sagebio #NCICSBC reviewed recent data challenges that address biomedical research questions and discuss lessons…
RT @NCIsysbio: Scientists @Sagebio #NCICSBC reviewed recent data challenges that address biomedical research questions and discuss lessons…
RT @NCIsysbio: Scientists @Sagebio #NCICSBC reviewed recent data challenges that address biomedical research questions and discuss lessons…
RT @NCIsysbio: Scientists @Sagebio #NCICSBC reviewed recent data challenges that address biomedical research questions and discuss lessons…
RT @NCIsysbio: Scientists @Sagebio #NCICSBC reviewed recent data challenges that address biomedical research questions and discuss lessons…
Scientists @Sagebio #NCICSBC reviewed recent data challenges that address biomedical research questions and discuss lessons for improving quantitative biomedical data analysis through #crowdsourcing @BioMedCentral https://t.co/m4F7peta7i. https://t.co/mFZg
RT @Sagebio: Here's a recent paper that talks more about the model-to-data approach that's featured in the screenshot of the slide. https:/…
RT @Sagebio: Here's a recent paper that talks more about the model-to-data approach that's featured in the screenshot of the slide. https:/…
RT @Sagebio: Here's a recent paper that talks more about the model-to-data approach that's featured in the screenshot of the slide. https:/…
Here's a recent paper that talks more about the model-to-data approach that's featured in the screenshot of the slide. https://t.co/3O6axnnrOf #openscience #m2d #modeltodata #BetterScienceTogether @justin_guinney
RT @BioDecoded: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges | Genome Biology https://t.co…
RT @BioDecoded: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges | Genome Biology https://t.co…
RT @BioDecoded: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges | Genome Biology https://t.co…
Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges | Genome Biology https://t.co/MdrdbZI5Eg #DataAnalysis https://t.co/yP6NIfyiJR
RT @NCIgenomics: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges like DREAM https://t.co/JiA3…
RT @NCIgenomics: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges like DREAM https://t.co/JiA3…
RT @NCIgenomics: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges like DREAM https://t.co/JiA3…
RT @NCIgenomics: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges like DREAM https://t.co/JiA3…
Correction: J. Guinney is with @sagebio. Thanks!
RT @NCIgenomics: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges like DREAM https://t.co/JiA3…
Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges like DREAM https://t.co/JiA3lnN62T https://t.co/hCcoxo0O8s
RT @sysbiomed: What we learnt from over 50 @DR_E_A_M challenges: Ellrott et al led by J Guinney @SageBiotech - Reproducible biomedical be…
RT @BioDecoded: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges | Genome Biology https://t.co…
RT @sysbiomed: What we learnt from over 50 @DR_E_A_M challenges: Ellrott et al led by J Guinney @SageBiotech - Reproducible biomedical be…
RT @sysbiomed: What we learnt from over 50 @DR_E_A_M challenges: Ellrott et al led by J Guinney @SageBiotech - Reproducible biomedical be…
RT @sysbiomed: What we learnt from over 50 @DR_E_A_M challenges: Ellrott et al led by J Guinney @SageBiotech - Reproducible biomedical be…
RT @sysbiomed: What we learnt from over 50 @DR_E_A_M challenges: Ellrott et al led by J Guinney @SageBiotech - Reproducible biomedical be…
Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges | Genome Biology https://t.co/MdrdbZI5Eg #DataAnalysis https://t.co/AnuY5JK8L1
RT @sysbiomed: What we learnt from over 50 @DR_E_A_M challenges: Ellrott et al led by J Guinney @SageBiotech - Reproducible biomedical be…
Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges https://t.co/91TnD4NJ51 https://t.co/2OCcr9mQ1V
RT @sysbiomed: What we learnt from over 50 @DR_E_A_M challenges: Ellrott et al led by J Guinney @SageBiotech - Reproducible biomedical be…
What we learnt from over 50 @DR_E_A_M challenges: Ellrott et al led by J Guinney @SageBiotech - Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges https://t.co/0B6RNLXO74
RT @strnr: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges https://t.co/pIVncpJUpx https://t.…
RT @strnr: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges https://t.co/pIVncpJUpx https://t.…
RT @strnr: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges https://t.co/pIVncpJUpx https://t.…
RT @strnr: Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges https://t.co/pIVncpJUpx https://t.…
Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges https://t.co/pIVncpJUpx https://t.co/81cge4Nwsl
RT @GenomeBiology: Open letter from @kellrott, @justin_guinney and co, that looks back at recent DREAM M2D challenges to explore how reprod…
RT @GenomeBiology: Open letter from @kellrott, @justin_guinney and co, that looks back at recent DREAM M2D challenges to explore how reprod…
RT @GenomeBiology: Open letter from @kellrott, @justin_guinney and co, that looks back at recent DREAM M2D challenges to explore how reprod…
RT @GenomeBiology: Open letter from @kellrott, @justin_guinney and co, that looks back at recent DREAM M2D challenges to explore how reprod…
@dmaccannell @edebeste look at this: method (workflow) validation by moving containers to data.
RT @GenomeBiology: Open letter from @kellrott, @justin_guinney and co, that looks back at recent DREAM M2D challenges to explore how reprod…
RT @GenomeBiology: Open letter from @kellrott, @justin_guinney and co, that looks back at recent DREAM M2D challenges to explore how reprod…
RT @GenomeBiology: Open letter from @kellrott, @justin_guinney and co, that looks back at recent DREAM M2D challenges to explore how reprod…
Containerization and reproducible code is changing how we approach scientific challenges, benchmarking and bring new analysis to patient data
Open letter from @kellrott, @justin_guinney and co, that looks back at recent DREAM M2D challenges to explore how reproducibility can be improved, including protecting sensitive data in the cloud https://t.co/R2pRlxMwrJ https://t.co/u0h4pQro35