9 citations · 18 across the 5 of their papers we have counts for
6 papers
Causal discovery identifies pathways linking physical activity to dementia risk in the UK BioBank
Wasif Khan, Panayiotis V. Benos, Joshua K. Wong +1
Physical Activity (PA) is consistently associated with lower risk of dementia, yet the mechanism linking PA to dementia prevention remain incomopletely understood. Here, we integra…
DiSTILL: A Hybrid Cloud-HPC Workflow System for Reproducible Spatial Transcriptomics Analysis
Myles Joshua Toledo Tan, Vasco Gerardo Hinostroza Fuentes, Nikhil Yerra +4
Spatial transcriptomics workflows increasingly combine large annotated data objects, notebook-based analyses, and resource-intensive statistical models that must be executed on hig…
Addressing Intersectionality, Explainability, and Ethics in AI-Driven Diagnostics: A Rebuttal and Call for Transdiciplinary Action
Myles Joshua Toledo Tan, Panayiotis V. Benos
The increasing integration of artificial intelligence (AI) into medical diagnostics necessitates a critical examination of its ethical and practical implications. While the priorit…
COEM: Cross-Modal Embedding for MetaCell Identification
Haiyi Mao, Minxue Jia, Jason Xiaotian Dou +2
Metacells are disjoint and homogeneous groups of single-cell profiles, representing discrete and highly granular cell states. Existing metacell algorithms tend to use only one moda…
A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data
Vineet K Raghu, Xiaoyu Ge, Arun Balajee +4
High throughput genome sequencing technologies such as RNA-Seq and Microarray have the potential to transform clinical decision making and biomedical research by enabling high-thro…
Mixed Graphical Models for Causal Analysis of Multi-modal Variables
Andrew J Sedgewick, Joseph D. Ramsey, Peter Spirtes +2
Graphical causal models are an important tool for knowledge discovery because they can represent both the causal relations between variables and the multivariate probability distri…