By Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin
Support Vector Machines (SVMs) are one of the most vital contemporary advancements in development attractiveness and statistical computer studying. they've got discovered an exceptional variety of functions in numerous fields together with biology and medication. even though, biomedical researchers frequently event problems greedy either the idea and functions of those very important tools due to loss of technical heritage. the aim of this booklet is to introduce SVMs and their extensions and make allowance biomedical researchers to appreciate and follow them in real-life study in an easy demeanour. The publication is to include volumes: idea and techniques (Volume 1) and case stories (Volume 2).
- Introduction and publication Overview
- Methods utilized in this Book
- Case experiences and Comparative evaluate 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 category (Contributed through Zhiguo Li)
- Application and comparability of SVMs and different tools for Multicategory category in Microbiomics (Contributed through Mikael Henaff, Kranti Konganti, Varun Narendra, Alexander V Alekseyenko)
- Application to review of Plasma Proteome Stability
- Case reports and Comparative overview in textual content Data:
- Application and comparability of SVMs and different equipment for Retrieving high quality Content-Specific Articles (Contributed by way of Yindalon Aphinyanaphongs)
- Application and comparability of SVMs and different equipment for deciding upon Unproven melanoma remedies on the net (Contributed by means of Yindalon Aphinyanaphongs)
- Application to Predicting destiny Article Citations (Contributed by way of Lawrence Fu)
- Application to Classifying Instrumentality of Article Citations (Contributed through Lawrence Fu)
- Application and comparability of SVMs and different equipment for determining Drug–Drug Interactions-Related Literature (Contributed through Stephany Duda)
- Case reports with medical Data::
- Application to Predicting medical Laboratory Values
- Application to Modeling medical Judgment and guide Compliance within the prognosis of cancer (Contributed by way of Andrea Sboner)
- Other Comparative overview experiences of vast Applicability:
- Using SVMs for Causal Variable Selection
- Application and comparability of SVM-RFE and GLL Methods
Readership: Biomedical researchers and healthcare pros who wish to know about SVMs and correct bioinformatics instruments yet do not need the mandatory 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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Extra 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