Ontology highlight
ABSTRACT:
SUBMITTER: Luca BA
PROVIDER: S-EPMC8526411 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature
Luca Bogdan A BA Steen Chloé B CB Matusiak Magdalena M Azizi Armon A Varma Sushama S Zhu Chunfang C Przybyl Joanna J Espín-Pérez Almudena A Diehn Maximilian M Alizadeh Ash A AA van de Rijn Matt M Gentles Andrew J AJ Newman Aaron M AM
Cell 20210930 21
Determining how cells vary with their local signaling environment and organize into distinct cellular communities is critical for understanding processes as diverse as development, aging, and cancer. Here we introduce EcoTyper, a machine learning framework for large-scale identification and validation of cell states and multicellular communities from bulk, single-cell, and spatially resolved gene expression data. When applied to 12 major cell lineages across 16 types of human carcinoma, EcoTyper ...[more]