7 papers · ranked by Valyu relevance
Anthony Christidis, Andrew Ghazi, Smriti Chawla, Nitesh Turaga + 2 more
Although cell type annotation has become an integral part of single-cell analysis workflows, the assessment of computational annotations remains challenging. Many annotation tools transfer labels from an annotated reference dataset to a new query dataset of interest, but blindly transferring labels from one dataset to…
Xiaoyue Hu, Yuhao Ma, Ruixing Ming, Heping Zhang + 1 more
Identifying essential biomarkers remains a core challenge in elucidating the pathogenic mechanisms and achieving precise diagnosis of complex diseases. Deep neural networks offer immense predictive power, yet their lack of interpretability severely limits downstream biological insight. Here, we introduce DeepVaris, an…
Yilan Wu, Dun Jack Fu, Yukun Zhou, Siegfried K Wagner + 2 more
Background Large language model (LLM) agents capable of generating and executing statistical code from natural language may broaden access to clinical data analysis, yet which pipeline stages they perform reliably and which require expert oversight remain poorly defined. Objective This study aimed to evaluate the…
Yasir Ahmed Mohammed Elhadi, Aminu S Abdullahi, Abdelrahman Mohamed Alblooshi, Abdulla Alhosani + 6 more
Background Robotic-assisted surgery (RAS) is increasingly being integrated into surgical services worldwide. Successful implementation of robotic surgical technologies depends not only on clinical effectiveness but also on public trust, perceptions of safety, and willingness to use technology-enabled care. In the…
Huihai Wu, Ashleigh Lister, Iain Macaulay, Katie Long + 10 more
Single-cell and spatial transcriptomics are transforming our understanding of cellular heterogeneity and tissue organization, yet their analytical complexity remains a major bottleneck. Here, we present EISCA and EISTA, two standardized, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial…
Jingxian Chen, Sharan Surya, Rojin Chitrakar, Jenna R. Valley + 2 more
Starvation profoundly impacts development, but how different tissues respond to starvation is unclear. We generated a cellular atlas of gene expression in fed and starved C. elegans L1 larvae. We identified 79 cell types in both conditions, and we detected ∼98% of protein-coding genes, 44% of which were differentially…
Bryan Ramirez-Corona, Santiago Cadena, Kerry Bubb, Christine Queitsch + 1 more
In nature, plants experience complex combinations of environmental stresses. Prior studies using Arabidopsis thaliana show that transcriptional responses to combinatorial stress are unique and cannot be predicted from responses to individual treatments, making it imperative to study combinatorial stress in the…