2 citations · 2 across the 3 of their papers we have counts for
4 papers
Large-scale spatial variable gene atlas for spatial transcriptomics
Jiawen Chen, Jinwei Zhang, Dongshen Peng +4
Spatial variable genes (SVGs) reveal critical information about tissue architecture, cellular interactions, and disease microenvironments. As spatial transcriptomics (ST) technolog…
The Nearest-Neighbor Derivative Process: Modeling Spatial Rates of Change in Massive Datasets
Jiawen Chen, Aritra Halder, Yun Li +2
Gaussian processes (GPs) are instrumental in modeling spatial processes, offering precise interpolation and prediction capabilities across fields such as environmental science and…
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
Jiawen Chen, Muqing Zhou, Wenrong Wu +3
Recent advances in multi-modal algorithms have driven and been driven by the increasing availability of large image-text datasets, leading to significant strides in various fields,…
On the Identifiability and Interpretability of Gaussian Process Models
Jiawen Chen, Wancen Mu, Yun Li +1
In this paper, we critically examine the prevalent practice of using additive mixtures of Matérn kernels in single-output Gaussian process (GP) models and explore the properties of…