FloReMi: Flow density survival regression using minimal feature redundancy-Reference-Cited by-同舟云学术

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FloReMi: Flow density survival regression using minimal feature redundancy

Published:2015-08-04 Issue:1 Volume:89 Page:22-29
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Van Gassen Sofie¹²³,Vens Celine²³⁴,Dhaene Tom¹,Lambrecht Bart N.²³,Saeys Yvan²³

Affiliation:

1. Department of Information Technology; Ghent University-iMinds; Ghent Belgium

2. Inflammation Research Center, VIB; Ghent Belgium

3. Department of Respiratory Medicine; Ghent University Hospital; Ghent Belgium

4. Department of Public Health and Primary Care; kU Leuven Kulak; Kortrijk Belgium

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference29 articles.

1. Automated gating of flow cytometry data via robust model-based clustering;Lo;Cytom A,2008

2. Misty mountain clustering: Application to fast unsupervised flow cytometry gating;Sugar;BMC Bioinform,2010

3. Data reduction for spectral clustering to analyze high throughput flow cytometry data;Zare;BMC Bioinform,2010

4. Rapid cell population identification in flow cytometry data;Aghaeepour;Cytom A,2011

5. Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples;Cron;PLoS Computat Biol,2013

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