PostDoc - trying to understand biology through mathematics.
Germany
Joined July 2009
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Maria Mircea retweeted
(1/2) scTranslator: Training on large-scale RNA data to impute protein abundance.
- pretrain on paired RNA+ protein in sc and bulk and predict on single-cell RNA-only data
- Genes are encoded by raw expression embedding combined with gene embedding
Received my PhD today! Many thanks to my supervisor @SemrauLab. Thanks to @ItaiYanai for being part of my committee. And also thanks to my paranymphs @JuliaEckert10 and @GeorgeDadu_!
Maria Mircea retweeted
Happy to share that our study of co-differentiation of cardiomyocytes and endothelial cells from human iPSCs was published in Stem Cells academic.oup.com/stmcls/adva… Excellent work by @Xu_Cao_PhD and @Siliegia and a great collaboration with the Orlova lab.
Our new preprint on the influence of tissue microenvironment on endothelial cell development is out!
doi.org/10.1101/2022.11.22.5…
Maria Mircea retweeted
Thrilled to announce that our paper on XEN-enhanced gastruloids is now online journals.sagepub.com/doi/10.… . We hope you'll find it interesting. Thanks to everybody involved for all of the hard work!
Maria Mircea retweeted
How does a cell decide its own fate? Read more into this fascinating review by @SemrauLab and @Siliegia where they delve into a single-cell view of cell-type specification #BiochemSocTrans #openaccess ow.ly/o9hz50HHZfx
Our new paper from @SemrauLab on clusterability of scRNA-seq data is now published in Genome Biology! The new name is phiclust and the code is available at Github github.com/semraulab/phiclus….
The paper can be found here: genomebiology.biomedcentral.…
Are you interested in the decision-making of single cells? Check out our new review paper from @SemrauLab. We review the important molecular players and single-cell methods to measure them!
portlandpress.com/biochemsoc…
Maria Mircea retweeted
SIGMA: A clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations biorxiv.org/content/10.1101/…
Is a scRNA-seq cluster worth sub-clustering or are the fluctuations consistent with random noise? Check out SIGMA, our new clusterability measure for scRNA-seq data, purely based on first principles! By @SemrauLab biorxiv.org/content/10.1101/…
Maria Mircea retweeted
Tomorrow, April 20 from 15.00h to 17.00h, scNL will be hosting our first meeting online! Join us to brainstorm about what scNL should become here: singlecell.nl/events
Enhanced maturation in 3D microtissue! Nice work from the LUMC!
sciencedirect.com/science/ar…
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Maria Mircea retweeted
.@SemrauLab at @UniLeiden adopted #scrum for their latest research project. Here's why they think you should do the same.
crosstalk.cell.com/blog/scru…
Maria Mircea retweeted
Single-cell transcriptomic characterization of the human fetal #kidney at 5 dev stages identifies 22 cell types and a host of novel marker genes, revealing heterogeneity in the nephrogenic niche & localized podocyte precursors @SemrauLab #PLOSBiology plos.io/2NoBw1T
Maria Mircea retweeted
Our paper on finding efficient latent spaces in scRNA-seq using #NeuralNetworks has just come out. Adapting error function to negative binomial helped a lot. Thanks @gokcen and @lkmklsmn! nature.com/articles/s41467-0…
Maria Mircea retweeted
Interested in deep learning for scRNA-seq? Check out:
* Autoencoders for de-noising: DCA, @fabian_theis; biorxiv.org/content/early/20…
* Deep transfer learning: SAVER-X, Zhang Lab; biorxiv.org/content/early/20…
* Single cell variational inference: scVI, @nir_yosef1; nature.com/articles/s41592-0…
Maria Mircea retweeted
Our article "Galois lattice and positional dominance" is published at Statistica Applicata - Italian Journal of Applied Statistics. Congratulations Maria! #sna @SocNetAnalysts
pfeffer.at/papers/2018_IJAS.…
