Catch up with the latest and greatest #DiseaseModelling research: Our latest issue is now complete!
It features:
👩🔬Editorial on #WomenInSTEM
🧬Perspective and Reviews on the power and promise of genetics, from precise #GenomeEditing to the need for #inclusion to ensure the success of #SickleCell #GeneTherapy
🧪Excellent #DiseaseBiology Research & Resource articles, from drug discovery for #malaria to #RareDisease modelling.
All #OpenAccess!
Machine Learning Method Improves Cell Identity Understanding:
When genes are activated and expressed, they show patterns in cells that are similar in type and function across tissues and organs. Discovering these patterns improves our understanding of cells -- which has implications for unveiling disease mechanisms
https://www.sciencedaily.com/releases/2023/01/230113145338.htm
#immunology #cellbiology #molecularbiology #machinelearning #CellTypes #diseasemodelling
When genes are activated and expressed, they show patterns in cells that are similar in type and function across tissues and organs. Discovering these patterns improves our understanding of cells -- which has implications for unveiling disease mechanisms. The advent of spatial transcriptomics technologies has allowed researchers to observe gene expression in their spatial context across entire tissue samples. But new computational methods are needed to make sense of this data and help identify and understand these gene expression patterns. A research team led by Jian Ma, the Ray and Stephanie Lane Professor of Computational Biology in Carnegie Mellon University's School of Computer Science, has developed a machine learning tool to fill this gap. Their paper on the method, called SPICEMIX, appeared as the cover story in the most recent issue of Nature Genetics.
@crisprflydesign @urnov I agree Filip on multiple fronts but I don't agree with this 'notion' of servers/instances, as it is where can gate keeping is happening, We chose a non-'academic' server so we could stay engaged with patient groups & policy makers (hopefully) when they migrate over in mass.... caste your net wide for this community!
This is the 'moving' part of #MastodonMigration that worries me most... How do we recoalesce here?
#introduction #ScienceMastodon
Hello!
I am an assistant professor at the Faculdade de Ciências of the University of Lisbon & #research group leader at Nova Medical School, Lisbon, #Portugal.
Our lab is interested in #genetics, #physiology, #neurobiology, #behavior, #development, #evolution, #synbio, #bioengineering, #diseasemodelling, and we use #Drosophila, #stemcells, and #computationalbiology approaches.
I am interested in everything #Science, #History, #Politics, #Music, and other stuff.
DMM Journal
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Mill_lab
Alisson Gontijo