Proper cell type annotation of #ST#SpatialTranscriptomics samples brings out even the most sophisticated tissue architectures of any tissue. Check out our latest open-source tools for this, now out in Bioinformatics: https://t.co/2fYsh424ui
🚀 I’m on Bluesky! 🌌
If you’re into single-cell biology, bioinformatics, cancer or drug development, let’s connect! 🔬✨
Follow me here: https://t.co/2bJm6QJIUb
#Bluesky#ScienceTwitter#SingleCell#Bioinformatics
Job alert! Joint us in Heidelberg to develop and apply computational methods to dissect molecular variation in CRC cancer. #Postdoc#SpatialOmics#MultiOmics#AI
Apply here: https://t.co/IM3EsyInOh
🚨 Great alternatives to BioRender are now available!!
📢 @NIAIDNews offers a collection of public figures and icons for everyone to use. Check it out at https://t.co/cZFQAf5nTz
Join FIMM as a MSCA Doctoral Researcher, to work in the field of multiplexed immunofluorescence profiling of cancer metastases. This fully funded 4-year position in Teijo Pellinen's team is part of the #Mac4Me network.
Apply by Nov 22 👇
https://t.co/PmH0TIyCmR
#sciencejobs
A fully-funded PhD position around cancer-immune crosstalk and improving immunotherapies with data-driven multi-modal approaches. https://t.co/S5BYo46ptU
A new study in Science #Immunology highlights how LIPSTIC, a proximity-based labeling method, can identify antigen-presenting #DendriticCells that activate #CD4+ TCells in the tumor and tumor-draining lymph nodes in mice. https://t.co/y1rqq6hYln @ChudnovskiyLab@victora_lab
In case you are looking for an interesting/easy reading this weekend, how about some thoughts on in vitro human cell-based models https://t.co/okYvj3QWGP @CellPressNews@TheLutolfLab@TakebeLab
scTherapy, a novel machine learning approach from Tero Aittokallio and colleagues, leverages single-cell transcriptomic profiles to identify multi-targeting treatment options for individual patients with hematological cancers or solid tumors. https://t.co/pnfca8Bt3c
Excited about multi-omics in health? We have a fully-funded PhD position on AI for multi-omics analytics as part of HIDDS4Health call 2024. Apply here: https://t.co/QRuvw3lYhQ
Researchers at FIMM have developed an effective computational platform that automatically identifies cell types from #SpatialTranscriptomics data. The method holds great potential for understanding tissue organisation in both health and disease.
💻⬇️
https://t.co/lQIGbNbF1v