Chapter title |
The Utility of Multiplex Assays for Identification of Proteomic Signatures in Psychiatry
|
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Chapter number | 8 |
Book title |
Proteomic Methods in Neuropsychiatric Research
|
Published in |
Advances in experimental medicine and biology, March 2017
|
DOI | 10.1007/978-3-319-52479-5_8 |
Pubmed ID | |
Book ISBNs |
978-3-31-952478-8, 978-3-31-952479-5
|
Authors |
Junfang Chen, Paul C. Guest, Emanuel Schwarz |
Editors |
Paul C. Guest |
Abstract |
As substantial efforts are being made to identify biological markers of psychiatric illnesses, it is becoming clear that clinically useful accuracy will require larger sets of readouts that potentially span different technological platforms. For discovery of proteomic biomarkers, simultaneous measurement of analytes in small sample quantities has developed into a widely used technology of similar quality as the respective single-plex assays. Multiplex assay systems therefore hold promise for biomarker discovery and development in many complex disease areas including psychiatry. However, analysis of the derived data is subject to substantial challenges that may impede the possibility of obtaining meaningful findings. This chapter discusses potential applications of multiplexed assay technologies during biomarker development and highlights potential challenges for machine learning analysis of derived data. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 20% |
Researcher | 2 | 13% |
Student > Master | 2 | 13% |
Other | 1 | 7% |
Lecturer > Senior Lecturer | 1 | 7% |
Other | 1 | 7% |
Unknown | 5 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 20% |
Psychology | 3 | 20% |
Computer Science | 2 | 13% |
Nursing and Health Professions | 1 | 7% |
Unknown | 6 | 40% |