Lukas Valihrach (@lukasvalihrach) 's Twitter Profile
Lukas Valihrach

@lukasvalihrach

Group Leader | 🧬Single-Cell & Spatial Transcriptomics | Epigenomics | 🧠Neurobiology | Glial Cells in Health & Disease | @labgenex @IBT_CAS 🇪🇺 | ❤️ My Twins

ID: 1199388618613280768

linkhttps://www.labgenexp.eu/ calendar_today26-11-2019 18:05:15

1,1K Tweet

3,3K Followers

771 Following

nature (@nature) 's Twitter Profile Photo

Microglia serve as conduits for the export of toxic protein aggregates from neurons and the import of healthy organelles, keeping neurodegeneration at bay go.nature.com/4dXkIuh

Teichlab (@teichlab) 's Twitter Profile Photo

Celcomen: our new tool for spatial causal disentanglement and identifiability in spatial transcriptomics to perform spatial counterfactuals such as localised gene knoc-outs! by Stathis Megas and team Wellcome Sanger Institute Cambridge Stem Cell Institute

Alon Goren (agoren@bluesky) 🇺🇦 (@alon_goren) 's Twitter Profile Photo

Our recent work (led by Lauren Patel comentored by Chris Benner), is out .Nature Biotechnology rdcu.be/dTTWs. We aim to increase rigor in scientific studies. Here we show that spike-in normalization is commonly used improperly, and conclusions may actually be incorrect (1/2)

Allen Institute (@alleninstitute) 's Twitter Profile Photo

🗺️ Meet MapMyCells! 🗺️ Save time mapping gene expression data to reference taxonomies. Outputs incl. cell identity and confidence scores. Available on the Brain Knowledge Platform: portal.brain-map.org/atlases-and-da… #studyBRAIN

Biomarkers of Aging Consortium (@agingbiomarkers) 's Twitter Profile Photo

🧵 1/8 🎉 Our latest collaborative publication, "Challenges and recommendations for the translation of biomarkers of aging", has just been released in Nature Aging (Nature Aging). Biomarkers of aging predict biological age and its response to interventions but face challenges in

🧵 1/8 🎉 Our latest collaborative publication, "Challenges and recommendations for the translation of biomarkers of aging", has just been released in Nature Aging (<a href="/NatureAging/">Nature Aging</a>). Biomarkers of aging predict biological age and its response to interventions but face challenges in
Rahul Satija (@satijalab) 's Twitter Profile Photo

Our next Center for Integrated Cellular Analysis Virtual Seminar (12PM on 10/1) AbdulAbdul introduces IRISeq, a new technology to perform spatial transcriptomics in a highly scalable and cost-effective way (<$50/tissue section)- no optics or imaging required! Free registration: nygenome.zoom.us/meeting/regist…

Our next <a href="/cegs_ica/">Center for Integrated Cellular Analysis</a> Virtual Seminar (12PM on 10/1)
<a href="/Abdul_Squared/">AbdulAbdul</a> introduces IRISeq, a new technology to perform spatial transcriptomics in a highly scalable and cost-effective way (&lt;$50/tissue section)- no optics or imaging required!
Free registration: nygenome.zoom.us/meeting/regist…
Jakob Nikolas Kather (@jnkath) 's Twitter Profile Photo

Finally out in Nature Protocols : our group's workflows for end to end computational pathology. Compatible with UNI and other foundation models. Led by Omar S.M. El Nahhas from katherlab journal link: nature.com/articles/s4159… full text: rdcu.be/dT35l

Finally out in <a href="/NatureProtocols/">Nature Protocols</a> : our group's workflows for end to end computational pathology. Compatible with UNI and other foundation models. Led by <a href="/ElNahhasOSM/">Omar S.M. El Nahhas</a> from <a href="/katherlab/">katherlab</a> 
journal link: nature.com/articles/s4159…
full text: rdcu.be/dT35l
Fabian Theis (@fabian_theis) 's Twitter Profile Photo

Thrilled to share our „PRedictor Of PHEnoTypes“ model Prophet! Led by Alejandro Tejada Lapuerta & Yuge Ji, Prophet is a transformer-based model that predicts outcomes for unseen experiments. It aims to understands biology by learning across assays and phenotypes over 4.7M+ experiments.

Thrilled to share our „PRedictor Of PHEnoTypes“ model Prophet! Led by <a href="/Alejandro__TL/">Alejandro Tejada Lapuerta</a> &amp; <a href="/_yji_/">Yuge Ji</a>, Prophet is a transformer-based model that predicts outcomes for unseen experiments. It aims to understands biology by learning across assays and phenotypes over 4.7M+ experiments.
Charlotte Bunne (@_bunnech) 's Twitter Profile Photo

How can we build an Al Virtual Cell 🔮🧬 that simulates all functions and interactions of a cell? How will it transform research and drive breakthroughs in programmable biology, drug discovery and personalized medicine? 🚀 Take a look at our Perspective! arxiv.org/pdf/2409.11654

How can we build an Al Virtual Cell 🔮🧬 that simulates all functions and interactions of a cell? How will it transform research and drive breakthroughs in programmable biology, drug discovery and personalized medicine?

🚀 Take a look at our Perspective!
arxiv.org/pdf/2409.11654
Silvia Cappello (@silvianeurompi) 's Twitter Profile Photo

Excited to share our research on extracellular vesicle-mediated cellular crosstalk in the developing brain (organoids)!!! Great work led by the wonderful scientists Andrea Forero & Fabrizia Pipicelli cell.com/cell-reports/f…

Lior Pachter (@lpachter) 's Twitter Profile Photo

In Joseph Rich et al. biorxiv.org/content/10.110…, we assessed the Seurat and Scanpy single-cell packages, finding that they produce very different results on standard analyses. A new paper in eLife - the journal looking at clustering finds the same elifesciences.org/reviewed-prepr…

In <a href="/Josephmrich/">Joseph Rich</a> et al. biorxiv.org/content/10.110…, we assessed the Seurat and Scanpy single-cell packages, finding that they produce very different results on standard analyses. A new paper in <a href="/eLife/">eLife - the journal</a>  looking at clustering finds the same elifesciences.org/reviewed-prepr…
Yanxiang Deng (@dengyanxiang) 's Twitter Profile Photo

Excited to share our first preprint on a novel spatial multi-omics technology that co-profiles five modalities within the same tissue section. Great collab w/ Marek Bartosovic and Mingyao Li . Kudos to my postdoc Pengfei Guo and PhD student Liran Mao ! biorxiv.org/content/10.110…

Nature Computational Science (@natcomputsci) 's Twitter Profile Photo

📢Out now! Gennady Gorin, Lior Pachter and colleagues from Caltech propose a method to cluster cells from multimodal single-cell data under a self-consistent, biophysical model. nature.com/articles/s4358…

Shuchen Luo (@nemo08061) 's Twitter Profile Photo

CAST enables physical alignment of spatial omics data across replicates, techs, modalities at single-cell resolution. Such accurate alignment enables spatial atlas searching, unbiased DEG identification, and reconstruction of spatial multi-omics. DM for questions and collabs!