BayesTME: An end-to-end method for multiscale spatial transcriptional profiling of the tissue microenvironment
Spatial variation in cellular phenotypes underlies heterogeneity in immune recognition and response to therapy in cancer and many other diseases. Spatial transcriptomics holds the potential to quantify such variation, but existing analysis methods are limited by their focus on individual tasks such...
Үндсэн зохиолчид: | Zhang, H, Hunter, MV, Chou, J, Quinn, JF, Zhou, M, White, RM, Tansey, W |
---|---|
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
Cell Press
2023
|
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
Agent-based modeling for the tumor microenvironment (TME)
-н: Hasitha N. Weerasinghe, зэрэг
Хэвлэсэн: (2024-11-01) -
Tissues and Tumor Microenvironment (TME) in 3D: Models to Shed Light on Immunosuppression in Cancer
-н: Teresa Ho, зэрэг
Хэвлэсэн: (2021-04-01) -
The impact of microbiome dysbiosis on T cell function within the tumor microenvironment (TME)
-н: Michelle P. DiPalma, зэрэг
Хэвлэсэн: (2023-03-01) -
Emerging nano-strategies against tumour microenvironment (TME): a review
-н: Debojyoti Mandal, зэрэг
Хэвлэсэн: (2023-01-01) -
Insights into Tumor Microenvironment (TME) and the Nano Approaches to Suppress Tumor Growth
-н: Perpetua Takunda Kutoka, зэрэг
Хэвлэсэн: (2022-07-01)