PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia published as: https://t.co/aAUbzWoMFn @BioDataMining #biorxiv
RT @OlgaTroyanskaya: Cool paper from @GreeneScientist: PathCORE-T finds co-occurring pathways in unsupervised ML models built from transcri…
RT @OlgaTroyanskaya: Cool paper from @GreeneScientist: PathCORE-T finds co-occurring pathways in unsupervised ML models built from transcri…
RT @moorejh: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientis…
RT @moorejh: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientis…
RT @GreeneScientist: From @kathyxchen. PathCORE-T: post-hoc analysis of unsupervised ML (NMF/ADAGE, etc) models built from large transcript…
RT @moorejh: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientis…
RT @GreeneScientist: Come chat with me about this paper at #ISMB18 / #ISMB2018 if you want to! https://t.co/NLX3S30R1E
RT @moorejh: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientis…
RT @moorejh: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientis…
RT @moorejh: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientis…
RT @moorejh: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientis…
RT @moorejh: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientis…
RT @moorejh: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientis…
Come chat with me about this paper at #ISMB18 / #ISMB2018 if you want to! https://t.co/NLX3S30R1E
PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia - via @GreeneScientist https://t.co/CPJRn4jxN7 #genomics #bioinformatics #dataviz https://t.co/iuHKynIjld
RT @OlgaTroyanskaya: Cool paper from @GreeneScientist: PathCORE-T finds co-occurring pathways in unsupervised ML models built from transcri…
RT @OlgaTroyanskaya: Cool paper from @GreeneScientist: PathCORE-T finds co-occurring pathways in unsupervised ML models built from transcri…
RT @OlgaTroyanskaya: Cool paper from @GreeneScientist: PathCORE-T finds co-occurring pathways in unsupervised ML models built from transcri…
RT @OlgaTroyanskaya: Cool paper from @GreeneScientist: PathCORE-T finds co-occurring pathways in unsupervised ML models built from transcri…
RT @OlgaTroyanskaya: Cool paper from @GreeneScientist: PathCORE-T finds co-occurring pathways in unsupervised ML models built from transcri…
RT @OlgaTroyanskaya: Cool paper from @GreeneScientist: PathCORE-T finds co-occurring pathways in unsupervised ML models built from transcri…
Cool paper from @GreeneScientist: PathCORE-T finds co-occurring pathways in unsupervised ML models built from transcriptomic compendia https://t.co/ZSm2XTWfoA Jupyter notebook tutorials for getting started: https://t.co/tbI69HjLIe
RT @stevepiccolo: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia https://t.co/Q4H…
RT @stevepiccolo: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia https://t.co/Q4H…
RT @stevepiccolo: PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia https://t.co/Q4H…
PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia https://t.co/Q4H0qMa0g8
PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia: https://t.co/QJVcHMiUXS https://t.co/8kOZXSLhYi
RT @GreeneScientist: From @kathyxchen. PathCORE-T: post-hoc analysis of unsupervised ML (NMF/ADAGE, etc) models built from large transcript…
RT @GreeneScientist: From @kathyxchen. PathCORE-T: post-hoc analysis of unsupervised ML (NMF/ADAGE, etc) models built from large transcript…
RT @GreeneScientist: From @kathyxchen. PathCORE-T: post-hoc analysis of unsupervised ML (NMF/ADAGE, etc) models built from large transcript…
RT @GreeneScientist: From @kathyxchen. PathCORE-T: post-hoc analysis of unsupervised ML (NMF/ADAGE, etc) models built from large transcript…
RT @GreeneScientist: From @kathyxchen. PathCORE-T: post-hoc analysis of unsupervised ML (NMF/ADAGE, etc) models built from large transcript…
From @kathyxchen. PathCORE-T: post-hoc analysis of unsupervised ML (NMF/ADAGE, etc) models built from large transcriptomic compendia to find co-occuring pathways. Pseudomonas/#TCGA covered in the paper. But it's a software paper, so build your own! 🎉🎉 htt