| Chapter title |
Statistical Aspects in Proteomic Biomarker Discovery.
|
|---|---|
| Chapter number | 19 |
| Book title |
Statistical Analysis in Proteomics
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3106-4_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3105-7, 978-1-4939-3106-4
|
| Authors |
Jung, Klaus, Klaus Jung Ph.D., Klaus Jung |
| Abstract |
In the pursuit of a personalized medicine, i.e., the individual treatment of a patient, many medical decision problems are desired to be supported by biomarkers that can help to make a diagnosis, prediction, or prognosis. Proteomic biomarkers are of special interest since they can not only be detected in tissue samples but can also often be easily detected in diverse body fluids. Statistical methods play an important role in the discovery and validation of proteomic biomarkers. They are necessary in the planning of experiments, in the processing of raw signals, and in the final data analysis. This review provides an overview on the most frequent experimental settings including sample size considerations, and focuses on exploratory data analysis and classifier development. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 15% |
| Student > Bachelor | 2 | 15% |
| Student > Master | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 23% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Neuroscience | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 5 | 38% |