Neural Network Intelligence In Medical Application Gene Prediction (Record no. 15837)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03561nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240409131558.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201021b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789383046850 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | ENGLISH |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610.28563 PRA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Author name | Pradhan, Manaswini |
| 245 ## - TITLE STATEMENT | |
| Title | Neural Network Intelligence In Medical Application Gene Prediction |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | DPS |
| Date of publication, distribution, etc. | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Page | 320p. |
| Size | 22cm. |
| 500 ## - GENERAL NOTE | |
| General note | CONTENTS<br/>Introduction<br/>Rioinformatie's<br/>Rielogical Rackground<br/>DNA<br/>Concept of Gene<br/>Computer Science and Gene<br/>Soft Computing Methods<br/>Soft Computing Techniques for Gene Prediction<br/>Soft Computing in Cancer Biology<br/>Microarray Technology<br/>Principal Component Analysis<br/>Neural Network<br/>Neural Network Architecture<br/>Objectives of the Research Work<br/>Outline of the Report<br/>LITERATURE SURVEY<br/>Introduction<br/>Review on Classification of Gene Prediction Techniques<br/>SVM Classifier for miRNA Gene Prediction<br/>SVM based Bayesian protein-protein interaction<br/>Computational method for prediction of genomes<br/>Hidden Markov Model (HMM) used in DNA sequence<br/>Web Server programs on prediction of genes<br/>Computational Methodologies<br/>Gene Prediction algorithm based on Machine Learning Techniques<br/>Gene Prediction using Digital Signal Processing<br/>Phenotypic Gene Prediction<br/>Experimental Technique for Gene Prediction<br/>ab initio model for Gene Prediction<br/>ORS<br/>Neural Network<br/>Other Gene Prediction Methodology<br/>Supplementary Research Conducted<br/>Support Vector Mochote<br/>Gene Ontology<br/>Homology<br/>Hidden Markov Model (IMM)<br/>Different Software programs for Gene Prediction<br/>Other Training Methodologies<br/>Other Machine Learning Techniques<br/>Digital Signal Processing<br/>Other techniques<br/>Conclusion<br/>ANN GENE CLASSIFIER: PPCA-EP TECHNIQUE<br/>Introduction<br/>Background Information<br/>Cancer Classification and the Challenges<br/>The Challenges<br/>Public Repository of Gene Expression Data<br/>ANN and Gene Classification<br/>Classification Technique for Microarray Gene Expression Data<br/>Dimensionality Reduction using PPCA<br/>Enhancement of Feed Forward ANNs<br/>Gene Expession Data Classification<br/>Classification of Microarray Gene Expression Data using Enhanced Classifier<br/>Training Phase: Minimization of Error by BF algorithm<br/>Testing Phase: Classification of Microarray Gem Sequence<br/>Conclusion<br/>4. DOMINANT GENE PREDICTOR: GA-ANN TECHNIQUE<br/>Introduction<br/>Genetic Algorithm<br/>Dominant gene prediction using Genetic algorithm<br/>Preprocess for dominant gene prediction<br/>Generation of Training Data<br/>Selection of Optimal Solution<br/>Dimensionality reduction by PPCA<br/>Draming phase Training through Feed Forward ANN<br/>Mromization of Eve by BP algorithm<br/>Tin Phave Geners Algorithm Based domemsant gew prediction of AML ALL<br/>Clevation of Promotomes<br/>Crecemeer and Morton<br/>Conclusion<br/>CANCER PREDICTION: ANN CLASSIFIER-DOMINANT<br/>GENE PREDICTOR<br/>Introduction<br/>Dominant Gene prediction using PPCA and GA-ANN Classifier<br/>Preprocess for dominant gene prediction<br/>Training through Feed Forward ANN<br/>Minimization of Error by BP algorithm<br/>Genetic Algorithm based dominant gene prediction of cancer diagnosis<br/>Conclusion<br/>RESULTS AND DISCUSSION<br/>Introduction<br/>Results of the proposed classification technique on ALL/AML dataset<br/>Results of the proposed gene prediction technique on ALL/AML dataset<br/>Cancer Prediction in CNS tumor, Colon tumor, Lung tumor and Diffuse Large B-Cell datasets<br/>Lymphoma<br/>Discussion and Conclusion<br/>CONCLUSION<br/>Introduction<br/>Shortcomings of Existing Methods<br/>Advantages of New Method<br/>Future Research Direction and Suggestions |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | BOOKS |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | bill no. | bill date | Home library | Current library | Date acquired | Coded location qualifier | Cost, normal purchase price | Total Checkouts | Full call number | Accession No | Date last seen | Price effective from | Koha item type | Public note |
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| Dewey Decimal Classification | Not For Loan | MAMCRC | DPSPH/559/2020 | 23/09/2020 | MAMCRC LIBRARY | MAMCRC LIBRARY | 21/10/2020 | REF | 995.00 | 610.28563 PRA | A1375 | 21/10/2020 | 21/10/2020 | BOOKS | Reference Books | ||||
| Dewey Decimal Classification | MAMCRC | DPSPH/549/2020 | 23/09/2020 | MAMCRC LIBRARY | MAMCRC LIBRARY | 22/10/2020 | 995.00 | 610.28563 PRA | A1258 | 22/10/2020 | 22/10/2020 | BOOKS |