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Together with our partners @ZJU_China, Liangzhu Laboratory, we're thrilled to announce @CellSymposia Taking programmed cell death from mechanisms to interventions 📍Hangzhou, China 📆October 22–24, 2026 Visit our website: hubs.li/Q03TKxwk0 #CSCellDeath26
Hear @EimearEKenny share her work “From categories to context: Rethinking ancestry for precision medicine” @CellSymposia #CSPrecisionGen25, Sept 17–19, 2025 San Diego, CA. 🔗Register here: hubs.li/Q03GX-lN0
Excited to hear @uarizona’s @DavidEnard share insights on “The genetic legacy of ancient viral epidemics in human host genomes” @CellSymposia #CSPrecisionGen25. Don’t miss it—register today! 🔗hubs.li/Q03FQqqq0
Biotechnology plays a crucial role in areas such as healthcare, agriculture, environmental sustainability, and industrial processes. Journals across Cell Press have come together to share exciting papers in this growing field. Visit the collection: hubs.li/Q03mSZLK0
We were so excited to see the innovative science at @KeystoneSymp's Machine Learning Applied to Macromolecular Structure and Function! Access the content now on-demand: hubs.li/Q037Rg660 #KSMLStructure25
1/ „What is the main bottleneck in deriving biological understanding from spatial transcriptomic profiling?" @CellSystemsCP asked a few of us for comments on this, I think quite cool read here at sciencedirect.com/science/articl…
We asked @MoffitLab, @DrMingyaoLi, Qing Nie @uci_cmcf, @kazukane, @teichlab, Daniel Dar @WeizmannScience, @ltkagohara, @SItzkovitz, @roserventotormo, @ItaiYanai, @FertigLab, and @fabian_theis about the main bottlenecks facing Spatial Transcriptomics cell.com/cell-systems/a…
🚨 Early Career Researchers 🚨 Don’t miss out on the Alma Dal Co School on Collective Behaviour (Sep 29 - Oct 4, 2025, Venice, Italy)! 🧬🌍 An interdisciplinary event with talks from 18 world-class experts #qbio! 🤝💡 ⏳ Deadline: Feb 28, 2025 Apply now: almadalcoschool.github.io
"Scientists need to re-imagine their role in society, incorporating new models of public service & mutual learning with communities to ensure science remains relevant, impactful & transformative for society." - @Thumbi_Ndungu for @ImmunityCP 'service' ➡️ cell.com/immunity/fullt…
Metzner et al. present Multiome Perturb-seq, extending single-cell CRISPR screens to simultaneously quantify perturbation effects on the epigenome and transcriptome in a scalable way, describing the integrated effects on cell state @thenormanlab cell.com/cell-systems/f…
Nagano et al. present SCEPTR , a TCR language model with a pre-training strategy combining autocontrastive learning and masked-language modeling, to predict TCR specificity, outperforming existing language models and sequence-based methods @andimscience cell.com/cell-systems/f…
Using active learning with MPRAs in the developing mouse retina, @rfriedman22 et al. train a CNN to distinguish between activating and repressing regulatory DNA elements composed of the same TF binding sites @genologos @CorboLab @WashUGenetics cell.com/cell-systems/f…
cell.com
Active learning of enhancers and silencers in the developing neural retina
Friedman et al. introduce an active machine learning workflow to iteratively train deep learning models of regulatory DNA on successive rounds of experimental data. Using active learning with...
Lin et al. use machine learning and metabolic modeling to infer cellular objectives from multi-omics data, revealing trade-offs between stress protection and growth in embryonic development @sriram_lab cell.com/cell-systems/f…
Join our editor Dr. Ernesto Andrianantoandro at @KeystoneSymp's, Machine Learning Applied to Macromolecular Structure and Function. Scholarship, abstract submissions, and early registration are still open! Register today: hubs.li/Q030_p2f0 #KSMLStructure25
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