Title |
A Computational Framework to Emulate the Human Perspective in Flow Cytometric Data Analysis
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Published in |
PLOS ONE, May 2012
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DOI | 10.1371/journal.pone.0035693 |
Pubmed ID | |
Authors |
Surajit Ray, Saumyadipta Pyne |
Abstract |
In recent years, intense research efforts have focused on developing methods for automated flow cytometric data analysis. However, while designing such applications, little or no attention has been paid to the human perspective that is absolutely central to the manual gating process of identifying and characterizing cell populations. In particular, the assumption of many common techniques that cell populations could be modeled reliably with pre-specified distributions may not hold true in real-life samples, which can have populations of arbitrary shapes and considerable inter-sample variation. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Unknown | 38 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 11 | 28% |
Student > Ph. D. Student | 9 | 23% |
Professor | 3 | 8% |
Student > Bachelor | 3 | 8% |
Other | 3 | 8% |
Other | 6 | 15% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 26% |
Medicine and Dentistry | 5 | 13% |
Computer Science | 4 | 10% |
Engineering | 3 | 8% |
Immunology and Microbiology | 3 | 8% |
Other | 7 | 18% |
Unknown | 7 | 18% |