gEM/GANN: A multivariate computational strategy for auto-characterizing relationships between cellular and clinical phenotypes and predicting disease progression time using high-dimensional flow cytometry data-Reference-Cited by-同舟云学术

gEM/GANN: A multivariate computational strategy for auto-characterizing relationships between cellular and clinical phenotypes and predicting disease progression time using high-dimensional flow cytometry data

Published:2015-01-08 Issue:7 Volume:87 Page:616-623
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Tong Dong Ling¹,Ball Graham R.¹,Pockley A. Graham¹

Affiliation:

1. The John van Geest Cancer Research Centre, Nottingham Trent University; Nottingham NG11 8NS United Kingdom

Funder

John and Lucille van Geest Foundation

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference21 articles.

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5. High-content single-cell drug screening with phosphospecific flow cytometry;Krutzik;Nat Chem Biol,2008

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