Tumor-immune partitioning and clustering algorithm for identifying tumor-immune cell spatial interaction signatures within the tumor microenvironment

Growing evidence supports the importance of characterizing the organizational patterns of various cellular constituents in the tumor microenvironment in precision oncology. Most existing data on immune cell infiltrates in tumors, which are based on immune cell counts or nearest neighbor-type analyse...

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Bibliographic Details
Published in:	PLoS computational biology Vol. 21; no. 2; p. e1012707
Main Authors:	Lau, Mai Chan, Borowsky, Jennifer, Väyrynen, Juha P., Haruki, Koichiro, Zhao, Melissa, Dias Costa, Andressa, Gu, Simeng, da Silva, Annacarolina, Ugai, Tomotaka, Arima, Kota, Nguyen, Minh N., Takashima, Yasutoshi, Yeong, Joe, Tai, David, Hamada, Tsuyoshi, Lennerz, Jochen K., Fuchs, Charles S., Wu, Catherine J., Meyerhardt, Jeffrey A., Ogino, Shuji, Nowak, Jonathan A.
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 18.02.2025 Public Library of Science (PLoS)
Subjects:	Algorithms Biology and Life Sciences Cancer Cancer cells Carcinoma, Hepatocellular - immunology Carcinoma, Hepatocellular - pathology Cell interaction Cluster Analysis Clustering Algorithms Colorectal cancer Colorectal Neoplasms - immunology Colorectal Neoplasms - pathology Computational Biology Development and progression Female Humans Liver Neoplasms - immunology Liver Neoplasms - pathology Lymphocytes, Tumor-Infiltrating - immunology Machine learning Male Medicine and Health Sciences Methods Oncology, Experimental Physiological aspects Prognosis Prospective Studies T cells T-Lymphocytes - immunology Tumor Microenvironment - immunology Singapore Massachusetts
ISSN:	1553-7358, 1553-734X, 1553-7358
Online Access:	Get full text
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