Trajectory analysis of spatial domains using Monocle and Slingshot algorithms and autocorrelation analysis of marker gene for endothelial cell.

<p>(A) The plot shows the Uniform Manifold Approximation and Projection (UMAP) representation of spatial domains, colored by their Leiden cluster assignments, overlaid with the trajectories predicted by the Monocle algorithm. The root point of the trajectory is labeled by the white node, and t...

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Bibliographic Details
Main Author:	Shunsuke A. Sakai (13789939) (author)
Other Authors:	Ryosuke Nomura (20746334) (author), Satoi Nagasawa (697597) (author), SungGi Chi (18386476) (author), Ayako Suzuki (380214) (author), Yutaka Suzuki (1379) (author), Mitsuho Imai (8906186) (author), Yoshiaki Nakamura (3981626) (author), Takayuki Yoshino (616028) (author), Shumpei Ishikawa (154679) (author), Katsuya Tsuchihara (392821) (author), Shun-Ichiro Kageyama (2986365) (author), Riu Yamashita (1612) (author)
Published:	2025
Subjects:	Biotechnology Developmental Biology Cancer Plant Biology Virology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified potentially reflect histology detect histological morphology observed tumor vascularization metastatic colorectal cancer xlink "> single skny ): extending identify microenvironment features detects spatial domains tumor microenvironment cancer progression breast cancer spatial extension spatial domains spatial domain trajectory estimation surrounding area stage progression skny facilitates skny algorithm skny ), divided based based toolkit 14 patients
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Trajectory analysis of spatial domains using Monocle and Slingshot algorithms and autocorrelation analysis of marker gene for endothelial cell.

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