@cp-patterns.bsky.social
The science of data. A peer-reviewed #openaccess data science journal from @cellpress.bsky.social
Editor-in-Chief: Andrew L Hufton (@alhufton.bsky.social)
Visit us online at https://www.cell.com/patterns/
@cp-patterns.bsky.socialOur October issue is now live!
www.cell.com/patterns/iss...
Our cover this month highlights the work by Sakaguchi et al, which presents a method for "disentangling" single-cell transcriptome data obscured by batch effects.
www.cell.com/patterns/ful...
@cp-patterns.bsky.socialOnline Now: Competition for attention predicts good-to-bad tipping in AI #datascience
@cp-patterns.bsky.socialOnline Now: Large-scale CryoET segmentation from minimal expert annotations with foundation video models #datascience
@cp-patterns.bsky.socialOnline Now: A Bayesian framework for anomaly detection in scientific data based on Benford’s law #datascience
@cp-patterns.bsky.socialOnline Now: Limitations of genomic language models for realistic sequence generation #datascience
@cp-patterns.bsky.socialOnline Now: DestinyNet: A deep-learning framework for cell-fate analysis from lineage-tracing single-cell RNA sequencing data #datascience
@cp-patterns.bsky.socialWe are happy to be supporting an early-career researcher travel grant for the Banff International Research Station workshop on "Bridging Topology and Machine Learning for Data Science"
@cp-patterns.bsky.socialOnline Now: Diversity in the impact of heterogeneities on recurrent networks performing a cognitive task #datascience
@cp-patterns.bsky.socialOnline Now: Unifying AI-assisted scientific discovery around exploration, hypothesis generation, and testing #datascience
@cp-patterns.bsky.socialOnline Now: AI safety is a system property, not a sum of individual defenses #datascience
@cp-patterns.bsky.socialOnline Now: Unifying statistical and mathematical modeling through a causal inference lens #datascience
@caseywdunn.bsky.socialReposted by @cp-patterns.bsky.socialDon’t black box your research: Patterns www.cell.com/patterns/ful... . An editorial about our paper on reproducibility of LLM facilitated research.
@cp-patterns.bsky.socialOur September issue is live 📢 www.cell.com/patterns/iss...
On the cover, we have EmmaEmb, a model-agnostic framework to analyze how proteins are distributed within an embedding space.
Check the full-length article 💻 www.cell.com/patterns/ful...
@cp-patterns.bsky.socialOnline Now: Unsupervised random forests for interpretable representation analysis of protein conformational landscapes #datascience
@cp-patterns.bsky.socialOnline Now: RDMkit: A research data management toolkit for life sciences #datascience
@cp-patterns.bsky.socialOnline Now: Designing reproducible large-language-model-assisted scientific analyses #datascience
@cp-patterns.bsky.socialOnline Now: Identifying low-quality features and suboptimal models to enhance phenotype prediction #datascience
@cp-patterns.bsky.socialOnline Now: Navigating COP16’s digital sequence information outcomes: What researchers need to do in practice #datascience
@cp-patterns.bsky.socialTo help grow our benchmarks collection, we have released a new call for submissions that describe major, ground-breaking benchmarking studies or which present important benchmarking tools, platform or resources.
Learn more: www.cell.com/patterns/spe...
@cp-patterns.bsky.socialOnline Now: Density-based longitudinal neuron tracking in high-density electrophysiological recordings #datascience
