ProteomicsML

Platform for community-curated tutorials and datasets for machine learning in proteomics.

[Magnus Palmblad @MagnusPalmblad]

@RalfGabriels presenting ProteomicsML at an @asmsnews workshop. All contributions to this resource are welcome! Check it out on https://t.co/dHy2XxpMZ7

[ProteomicsML @ProteomicsML]

ProteomicsML featured on the EMBL-EBI news 🎉
https://t.co/UAHMfdRcTH

[EuBIC-MS @EuBIC_ms]

Registration for the #EuBIC2024 Winter School on Computational Mass Spectrometry is now open! 🎉

Don't hesitate to register; the event is limited to 115 participants. Early bird registration closes on 13/11/2023. 📅

All info on https://t.co/IobvCDXReO

[ProteomicsML @ProteomicsML]

At #ASMS2023 and want to learn more about ProteomicsML?
Follow our joint session with the @ProteomeXchange and HUPO-PSI, hosted by @juan_vizcaino and @RalfGabriels.

⏲️Wednesday, 5:45pm
📍Room 351 ABDE

[CompOmics @compomics]

Join @CompOmics and friends at #ASMS2023! Posters, workshops, talks, and #BioinformaticsHub sessions on #PTMs, #MachineLearning, #MetaProteomics, #DIA, #EchoMS, and more:

[EMBL-EBI @emblebi]

Introducing @ProteomicsML, a community-driven resource for proteomics data sets and tutorials across most of the currently explored physicochemical peptide properties.

The perfect starting point for your #proteomics #machinelearning endeavours.

https://t.co/niTirpFrxI

[PROTrEIN @PROTrEIN_ITN]

Our latest journal club blog post by @SharmaAditee and @Louisebuur features the @ProteomicsML! A great place to start if you're new in machine learning and proteomics. We also include an interview with @RalfGabriels one of the people behind the platform 👉https://t.co/emNaguVffA

[Ralf Gabriels @RalfGabriels]

Happy to present not one, but two (badly taped) posters at #HUPO2022! Interested in @ProteomicsML or https://t.co/IAk35cxTYN? Check out posters 57 and 58 and see if the tape has held up or not 🤞

[Ralf Gabriels @RalfGabriels]

Had a lot of fun in helping to set up this project! Hopefully, @ProteomicsML will soon become a hub for open education and collaboration in #MachineLearning for #Proteomics.
Try out the tutorials and let us know what you think on https://t.co/uPlTJxwPR6

[Robbin Bouwmeester @RobbinBouwmees]

Super excited to share the https://t.co/bojlnNp7a3 community-driven platform for proteomics ML tutorials and datasets. Especially proud of the tutorials that should allow everyone to learn about and train predictors for peptide LC-IM-MS behavior. https://t.co/iy6GpPsXLL