Work

From single cells to deep phenotypes in cancer

Year: 2012

Type: review

Source: Nature Biotechnology

DOI: 10.1038/nbt.2283

Authors: Sean C Bendall, Garry P Nolan

Institutions: Stanford Medicine, Stanford University

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Heart, Lung, and Blood Institute, National Cancer Institute, National Institute of Allergy and Infectious Diseases

Awards: Systems Approach to Immunity and Inflammation, G2106065285, Software & Hardware Inference Engines for Automated Determination of Primary Cell, Clinical and Laboratory Studies of Malignant Lymphomas, G6618411531, G8343853698, Understanding Influenza and SARS-CoV-2 vaccine responses, in vivo and in vitro

OpenAlex ID: W2047835984

FWCI: 2.42

Cites: 82

Cited by: 221

Related to: 10