Control
Computer Science
Statistics for Life Sciences, Medicine, Health Sciences
2018-04-19
enk
Mathematisches Modell
Physiology--Mathematics
London
Systems Biology
Vidyasagar
Mathukumalli
Mathukumalli Vidyasagar
1947
Statistics
2012
Computer science
SpringerBriefs in Electrical and Computer Engineering
9781447147510
1447147510
Physiological, Cellular and Medical Topics
Cancer Research
Bioinformatics
Krebs
This brief introduces readers to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics, building on only a basic background in these two topics. Aside from providing a self-contained introduction to several aspects of basic biology and to cancer, as well as to the techniques from statistics most commonly used in cancer biology, the brief describes several methods for inferring gene interaction networks from expression data, including one that is reported for the first time in the brief. The application of these methods is illustrated on actual data from cancer cell lines. Some promising directions for new research are also discussed. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems.
Online-Publikation
2012
827054137
Computational Cancer Biology an Interaction Network Approach
Introduction -- Inferring Genetic Regulatory Networks -- Context-specific Genomic Networks -- Analyzing Statistical Significance -- Separating Drivers from Passengers -- Some Research Directions.
en
827054137
Biological models
Computational Biology/Bioinformatics
Springer
Oncology
Physiology--Mathematics
9781447147503
1447147502