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Investigating Human Cancer with Computational Intelligence Techniques

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Investigating Human Cancer with Computational Intelligence Techniques
Alfredo Vellido and Paulo J.G. Lisboa (Editors)
Future Technology Press
ISBN 978-0-9561516-0-5


Human cancer is at an important frontier of medical research, and one where Computational Intelligence methods have made substantial inroads in recent years. Computational Intelligence research in cancer now reaches all biological scales from human population down to the phenotype and genotype. It is also fair to say that it reaches the complete range of cancer pathologies. This book does not aim to achieve such completeness of coverage. Instead, the studies included in it should provide readers with a broad palette and a hopefully useful taster of what Computational Intelligence methods can achieve in the field. This volume contains an overview of the field and a collection of eight leading-edge studies from research teams composed of experts in the field on various aspects of the subject.


1. Investigating human cancer with Computational Intelligence
2. Unsupervised breast cancer discovery: a comparitive study on model-based and neural computing.
3. Downsizing multigenic predictors of the response to preoperative chemotherapy in breast cancer.
4. Stratification of severity of illness indices and out-of-sample validation:a case study for breast cancer prognosis.
5. Exploratory characteristics of a multi-centre 1H-MRS brain tumour database.
6. Feature and model selection in 1H-MRS single voxel spectra for cancer classification.
7. Rule-based assistance to brain tumour diagnosis using LR-FIR.
8. Statistical assessment of MSigDB gene sets in colon cancer.
9. A genome-wide computational study of copy number variations: an example on ovarian cancer.

Paperback book
Printed: 136 pages, 15.59 cm x 23.39 cm, perfect binding, white interior paper (55# weight), black and white interior ink, white exterior paper (90# weight), full-colour exterior ink

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