Literature DB >> 28353229

The Utility of Multiplex Assays for Identification of Proteomic Signatures in Psychiatry.

Junfang Chen1, Paul C Guest2, Emanuel Schwarz3.   

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.

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Keywords:  Bias; Biomarker discovery; Confounding factors; Machine learning; Multiplex; Proteomics; Psychiatric disorders

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Year:  2017        PMID: 28353229     DOI: 10.1007/978-3-319-52479-5_8

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  1 in total

1.  Comparative Analysis of Multiplex Platforms for Detecting Vitreous Biomarkers in Diabetic Retinopathy.

Authors:  Ricardo Lamy; Suzette Farber-Katz; Franklin Vives; Gulesi Ayanoglu; Tong Zhao; Yi Chen; Sawarin Laotaweerungsawat; Dahui Ma; Audrey Phone; Catherine Psaras; Nina Xiaoyan Li; Santosh Sutradhar; Paul E Carrington; Jay M Stewart
Journal:  Transl Vis Sci Technol       Date:  2020-09-02       Impact factor: 3.283

  1 in total

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