David Knowles on Muck Rack

David Knowles

Verified
California
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Articles

A meta-analysis of single-nucleus expression quantitative trait loci linking genetic risk to brain disorders

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By Beomjin Jang, Kailash BP, Alex Tokolyi, Ashvin Ravi, Sang-Hyuk Jung, Tatsuhiko Naito, Beomsu Kim, Min Kim, Minyoung Cho, Mi-so Park, Mikaela Rosen, Joel Blanchard, Jack Humphrey, David Knowles , Hong-Hee Won, Towfique Raj, Winston H. Dredge
| Nature
Abstract Most genetic risk variants for neurological diseases are located in noncoding regulatory regions, where they often act as expression quantitative trait loci (eQTLs), modulating gene expression and influencing disease susceptibility. However, eQTL studies in bulk brain tissue or cell lines fail to capture the brain’s cellular diversity. Single-nucleus RNA sequencing (snRNA-seq) allows high-resolution mapping of eQTLs across diverse brain cell types.
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Mapping isoforms and regulatory mechanisms from spatial transcriptomics data with SPLISOSM - Nature Biotechnology

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By Jiayu Su, Megan D. Schertzer, Haochen Yang, Jiahao Jiang, Theodore Nelson, Stella Park, David Knowles 
| Nature
Abstract Transcript diversity including splicing and alternative 3′ end usage is crucial for cellular identity and adaptation, yet its spatial coordination remains poorly understood. Here we present SPLISOSM (spatial isoform statistical modeling), a method for detecting isoform-resolution patterns from spatial transcriptomics data. SPLISOSM uses multivariate testing with nonparametric kernels to account for spot-level and isoform-level dependencies, achieving high statistical power on sparse data.
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[2509.25230] Energy Guided Geometric Flow Matching

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By Mingxuan Zhang, Elham Azizi, David Knowles 
| arxiv.org
arXiv:2509.25230 (cs) View PDF HTML (experimental) Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI) Cite as: arXiv:2509.25230 [cs.LG] (or arXiv:2509.25230v1 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2509.25230 Submission history From: Mingxuan Zhang [ view email] [v1] Thu, 25 Sep 2025 00:42:28 UTC (280 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps...
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