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Discovering pathway and cell-type signatures in transcriptomic compendia with machine learning

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RT @moorejh: Discovering pathway and cell-type signatures in transcriptomic compendia with #machinelearning https://t.co/xApnXy5SPR via @Gr…
RT @moorejh: Discovering pathway and cell-type signatures in transcriptomic compendia with #machinelearning https://t.co/xApnXy5SPR via @Gr…
RT @moorejh: Discovering pathway and cell-type signatures in transcriptomic compendia with #machinelearning https://t.co/xApnXy5SPR via @Gr…
10 days ago
RT @moorejh: Discovering pathway and cell-type signatures in transcriptomic compendia with #machinelearning https://t.co/xApnXy5SPR via @Gr…
RT @moorejh: Discovering pathway and cell-type signatures in transcriptomic compendia with #machinelearning https://t.co/xApnXy5SPR via @Gr…
RT @moorejh: Discovering pathway and cell-type signatures in transcriptomic compendia with #machinelearning https://t.co/xApnXy5SPR via @Gr…
Discovering pathway and cell-type signatures in transcriptomic compendia with #machinelearning https://t.co/xApnXy5SPR via @GreeneScientist #bioinformatics #genomics
A new review on using ML to interpret the transcriptome. https://t.co/NRS7nOgtTy https://t.co/VFUMhq29kT
23 days ago
Discovering transcriptome signatures https://t.co/h6IFzK8syO via @PeerJPreprints
RT @endre_sebestyen: Discovering pathway and cell-type signatures in transcriptomic compendia with machine learning https://t.co/GbomxxVWfp…
RT @endre_sebestyen: Discovering pathway and cell-type signatures in transcriptomic compendia with machine learning https://t.co/GbomxxVWfp…
RT @enricoferrero: Great review on supervised and unsupervised learning of bulk and single cell transcriptomics data, obviously from @gwayg…
RT @rnomics: Discovering pathway and cell-type signatures in transcriptomic compendia with machine learning https://t.co/hv5fKQDNzj…
RT @endre_sebestyen: Discovering pathway and cell-type signatures in transcriptomic compendia with machine learning https://t.co/GbomxxVWfp…
RT @endre_sebestyen: Discovering pathway and cell-type signatures in transcriptomic compendia with machine learning https://t.co/GbomxxVWfp…
RT @endre_sebestyen: Discovering pathway and cell-type signatures in transcriptomic compendia with machine learning https://t.co/GbomxxVWfp…
RT @endre_sebestyen: Discovering pathway and cell-type signatures in transcriptomic compendia with machine learning https://t.co/GbomxxVWfp…
RT @enricoferrero: Great review on supervised and unsupervised learning of bulk and single cell transcriptomics data, obviously from @gwayg…
Discovering pathway and cell-type signatures in transcriptomic compendia with machine learning https://t.co/GbomxxVWfp bt @gwaygenomics and @GreeneScientist
RT @enricoferrero: Great review on supervised and unsupervised learning of bulk and single cell transcriptomics data, obviously from @gwayg…
Great review on supervised and unsupervised learning of bulk and single cell transcriptomics data, obviously from @gwaygenomics and @GreeneScientist! https://t.co/tyilzx9iw3 #bioinformatics #machinelearning #genomics
RT @GreeneScientist: Find out why this paper with @gwaygenomics was rejected by bioRxiv! News at 11! https://t.co/25ckEPNZ2e
RT @GreeneScientist: Find out why this paper with @gwaygenomics was rejected by bioRxiv! News at 11! https://t.co/25ckEPNZ2e
28 days ago
RT @GreeneScientist: Find out why this paper with @gwaygenomics was rejected by bioRxiv! News at 11! https://t.co/25ckEPNZ2e
RT @GreeneScientist: Find out why this paper with @gwaygenomics was rejected by bioRxiv! News at 11! https://t.co/25ckEPNZ2e
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Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Gregory P Way prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Casey S Greene authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

The research in this article did not generate any data or code because this article is a review.

Funding

This work was funded in part by grant 2018-182718 from the Chan Zuckerberg Initiative Donor-Advised Fund (DAF), an advised fund of the Silicon Valley Community Foundation; by grant GBMF 4552 from the Gordon and Betty Moore Foundation; and by R01 HG010067 and T32 HG000046 from the National Institutes of Health’s National Human Genome Research Institute. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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