Title |
Cancer Biomarker Discovery: The Entropic Hallmark
|
---|---|
Published in |
PLOS ONE, August 2010
|
DOI | 10.1371/journal.pone.0012262 |
Pubmed ID | |
Authors |
Regina Berretta, Pablo Moscato |
Abstract |
It is a commonly accepted belief that cancer cells modify their transcriptional state during the progression of the disease. We propose that the progression of cancer cells towards malignant phenotypes can be efficiently tracked using high-throughput technologies that follow the gradual changes observed in the gene expression profiles by employing Shannon's mathematical theory of communication. Methods based on Information Theory can then quantify the divergence of cancer cells' transcriptional profiles from those of normally appearing cells of the originating tissues. The relevance of the proposed methods can be evaluated using microarray datasets available in the public domain but the method is in principle applicable to other high-throughput methods. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
Belgium | 2 | 1% |
Italy | 1 | <1% |
Uruguay | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Egypt | 1 | <1% |
Germany | 1 | <1% |
Nigeria | 1 | <1% |
Other | 3 | 2% |
Unknown | 156 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 39 | 23% |
Researcher | 35 | 20% |
Student > Master | 21 | 12% |
Student > Bachelor | 14 | 8% |
Student > Doctoral Student | 12 | 7% |
Other | 34 | 20% |
Unknown | 18 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 70 | 40% |
Medicine and Dentistry | 28 | 16% |
Biochemistry, Genetics and Molecular Biology | 18 | 10% |
Computer Science | 9 | 5% |
Chemistry | 7 | 4% |
Other | 18 | 10% |
Unknown | 23 | 13% |