By Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin
Support Vector Machines (SVMs) are one of the most vital fresh advancements in development reputation and statistical computer studying. they've got came across an excellent diversity of functions in numerous fields together with biology and drugs. despite the fact that, biomedical researchers frequently event problems greedy either the speculation and purposes of those vital equipment as a result of loss of technical history. the aim of this e-book is to introduce SVMs and their extensions and make allowance biomedical researchers to appreciate and follow them in real-life learn in an easy demeanour. The publication is to encompass volumes: thought and techniques (Volume 1) and case stories (Volume 2).
- Introduction and ebook Overview
- Methods utilized in this Book
- Case reviews and Comparative overview in High-Throughput Genomic Data:
- Application and comparability of SVMs and different equipment for Multicategory Microarray-Based melanoma Classification
- Comparison of SVMs and Random Forests for Microarray-Based melanoma Classification
- Comparison of SVMs and Kernel Ridge Regression for Microarray-Based melanoma class (Contributed through Zhiguo Li)
- Application and comparability of SVMs and different equipment for Multicategory class in Microbiomics (Contributed through Mikael Henaff, Kranti Konganti, Varun Narendra, Alexander V Alekseyenko)
- Application to overview of Plasma Proteome Stability
- Case experiences and Comparative evaluate in textual content Data:
- Application and comparability of SVMs and different tools for Retrieving high quality Content-Specific Articles (Contributed via Yindalon Aphinyanaphongs)
- Application and comparability of SVMs and different equipment for deciding on Unproven melanoma remedies on the net (Contributed through Yindalon Aphinyanaphongs)
- Application to Predicting destiny Article Citations (Contributed via Lawrence Fu)
- Application to Classifying Instrumentality of Article Citations (Contributed by way of Lawrence Fu)
- Application and comparability of SVMs and different tools for choosing Drug–Drug Interactions-Related Literature (Contributed by way of Stephany Duda)
- Case stories with scientific Data::
- Application to Predicting medical Laboratory Values
- Application to Modeling medical Judgment and guide Compliance within the prognosis of cancer (Contributed through Andrea Sboner)
- Other Comparative overview stories of vast Applicability:
- Using SVMs for Causal Variable Selection
- Application and comparability of SVM-RFE and GLL Methods
Readership: Biomedical researchers and healthcare execs who want to find out about SVMs and appropriate bioinformatics instruments yet would not have the required technical background.
Read or Download A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks PDF
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Additional info for A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks
A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks by Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin