Dissertation > Excellent graduate degree dissertation topics show

Optimization Method of SVM Classifier for Gene Microarray Data

Author: FengQing
Tutor: WeiJinMao
School: Northeast Normal University
Course: Circuits and Systems
Keywords: Support Vector Machine Dimensionality reduction Microarray Principal Component Analysis Multidimensional scaling transformation Locally Linear Embedding Laplace feature map
CLC: Q75
Type: Master's thesis
Year: 2010
Downloads: 66
Quote: 1
Read: Download Dissertation

Abstract


Support Vector Machine is a new learning methods , developed on the basis of the statistical learning theory is one of the most popular classification techniques . Compared with the other learning algorithms , support vector machines using structural risk minimization principle , can better solve the small sample learning problems , especially for the high number of dimensions , the small sample size , nonlinear microarray data . DNA microarrays load thousands of DNA fragments , which produce large amounts of microarray data , research and analysis of the auxiliary diagnosis and treatment of diseases with high medical value . With the increasing of the microarray information processing and information mining technology development , support vector machines as a potential data mining technology has become an important direction for the study of gene chip . Around this topic , the paper mainly do the work of the following areas : (1) the curse of dimensionality of microarray data , the paper will be designed to support vector machine integration with a variety of dimensionality reduction method optimization method . Study the impact of a variety of dimensionality reduction method to improve the performance of the support vector machine classifier . (2) five cancer data dimensionality reduction analysis and SVM classification results is given . The results of the microarray data classification by linear and nonlinear dimensionality reduction method to verify the potential of the non-linear structure of high -dimensional biological data . ( 3) using two linear (PCA, MDS) and three nonlinear dimensionality reduction methods (Isomap, LLE, LEM) and visual projection dimensionality reduction data in low-dimensional space , while the low-dimensional space clustering assessment .

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. Research on Autamatic Music Structrue Analysis,TN912.3
  3. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  4. Fault Diagnosis Method Based on Support Vector Machine,TP18
  5. Process Support Vector Machine and Its Application to Satellite Thermal Equilibrium Temperature Prediction,TP183
  6. Application of Improved Principal Component Analysis Algorithm in Course Construction,G642.4
  7. Study of Data Reduction Technique Based on Manifold Learning,TP311.13
  8. Research on Predicting Intrinsic Disorder Protein Structure Based on Supervision Manifold Learning Algorithm,Q51
  9. The Genes Expression Analysis of Cotton Fiber Initiation Stage and Characterization of Three New Genes in Gossypium,S562
  10. Research for Infrared Image Target Identification and Tracking Technology,TP391.41
  11. Study on the Road Condition Monitoring Based on Vehicular 3D Acceleration Sensor,TP274
  12. Studies on Stress Resistance, cDNA Microarray and Carbohydrate Metabolism in Tomato Seedlings under Low Night Temperature,S641.2
  13. Research of Diagnosing Cucumber Diseases Based on Hyperspectral Imaging,S436.421
  14. The Impact of Tourism on Typical Vegetation in Luya Mountain Nature Reserve, Shanxi Province,S759.9
  15. Relationship and Significance of Gene Transcription Profiles in Rat Liver Regeneration and Non-Alcoholic Fatty Liver Disease Occurrence,R575.5
  16. Linuron SD rats induced embryonic testis development of the overall level of gene expression studies,Q75
  17. Macaca mulatta palm morphological study of pattern ridge count,Q954
  18. Zhaoguan Lower Coal Group water inrush prediction and control techniques,TD745
  19. Studies on the Plasma DNA Quantification and the Gene Expression Profiles of Patients with Acute Pancreatitis,R576
  20. Research on Cultural Industrial Competitiveness of Chong Qing,F224
  21. Segmentation of cDNA Microarray Image Using Fuzzy C-means Algorithm Optimized by Particle Swarm,TP391.41

CLC: > Biological Sciences > Molecular Biology > Molecular Genetics
© 2012 www.DissertationTopic.Net  Mobile