Sabrina Richter @_sabrinarichter
Joined December 2020-
Tweets21
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Followers81
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Following94
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Likes22
Sabrina Richter retweeted
1/10 PREPRINT MONDAY at the SchubertLab Benchmarking TCR-Epitope Predictors with ePytope-TCR (doi.org/10.1101/2024.1…) Short-Summary: - 18 pre-trained public methods - evaluated on 2 benchmarking datasets - for repertoire annotation & cross-reactivity prediction
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Sabrina Richter retweeted
Attending Benzon Foundation meeting on AI for Clinical Mass Spec in beautiful Copenhagen this week? Come and chat to @_sabrinarichter and myself on latest deep learning work we are doing to model and analyse MS data @fabian_theis lab!
really well written introduction to transformers in scRNAseq!
really well written introduction to transformers in scRNAseq!
Sabrina Richter retweeted
Thrilled to share @fabian_theis lab paper on transformers in single cell omics out in @naturemethods ! Check it out to learn about the latest models, how they are trained, applied, and their limitations. rdcu.be/dQuVW (🧵1/7)
Sabrina Richter retweeted
Check out our newest preprint on Deep Learning-based MRI lung segmentation spearheaded by @mh_beno and @alejacascru together with @AnneHilgendorff to aid clinical decision-making for the most vulnerable patient group - prematurely born infants. medrxiv.org/content/10.110…
Sabrina Richter retweeted
Proud to share my first paper at @icb: Analyze T cell repertoires with mvTCR. VAEs simultaneously encode receptor sequence and transcriptome providing a fuller view on the immune response. Thanks to Yang An, @MohammadLotfol1 @schubert_benni @fabian_theis biorxiv.org/content/10.110…
Sabrina Richter retweeted
🎓 It's #PhD application season again! 🎓 🥳 Don’t miss your chance to be trained as a next generation #DataScientist in an interdisciplinary environment with great training opportunities! 🤓 APPLY NOW at our Munich School for #DataScience 👉 bit.ly/3sqibjs
Sabrina Richter retweeted
Excited to share 'Squidpy', our toolbox for spatial single cell analysis. Led by @g_palla1 & @HannahSpitzer1, we extend #Scanpy's infrastructure and analyses to store, manipulate & interactively visualize spatial omics data. Read at biorxiv.org/content/10.110… squidpy.readthedocs.io
Sabrina Richter retweeted
Missed our @singlecellomics workshop on the sfaira data repository? Here is a recording; save time on interacting with single-cell omics data using this tool set! bit.ly/2OKnaxm @le_and_er
Sabrina Richter retweeted
Deep learning of the peptide universe from 1M experimental values, out in @NatureComms today! In a great collab with @labs_mann, we train an interpretable recurrent neural network to predict a peptide's collisional cross section&predict it for unseen ones. nature.com/articles/s4146…
Sabrina Richter retweeted
We leveraged #TIMS and #PASEF to take a deep dive into the collisional cross sections of the peptide universe. Thanks to @fabian_theis @ICBmunich for a really fun collaboration! Out now @NatureComms nature.com/articles/s4146…
Sabrina Richter retweeted
Marrying #microscopy and #digitalpathology with single cell type proteomics at last. We developed Deep Visual Proteomics integrating #Imaging #AI #LMD and #MassSpectrometry. Great team effort @NNFCPR, Peter Hovarth @hpke1980, @Prof_Lundberg, @MPI_Biochem bit.ly/3t3RxyK
Sabrina Richter retweeted
Hey everyone! I have been nominated for the AI newcomer of the year together with @HeidiBaya Hope I can count on your vote! kicamp.org/ki-newcomerinn…
Sabrina Richter retweeted
Single cell proteomics finally becoming a reality, with awesome miniaturization effort by @labs_mann! Robust plate-based readout (>1200 proteins), and strong differences to RNA; we (@_sabrinarichter @davidsebfischer ) contributed adapted #scanpy analyses. biorxiv.org/content/10.110…
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