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Cancer Pathogenic Gene Predict...This book is a work on cancer pathogenic gene prediction and sample classifica... This book is a work on cancer pathogenic gene prediction and sample classification algorithms which comprehensively and systematically elaborates on the latest research achievements in gene association analysis gene regulatory network reconstruction... more
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Assessing and Improving Predic...Assess the quality of your prediction and classification models in ways that a... Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance and then improve this performance using state-of-the-art algorithms such as committee-based decision making resampling the... more
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Cancer Genomics: Molecular Cla...This book offers an overview on the applications of microarray gene expression... This book offers an overview on the applications of microarray gene expression and copy number variation analyses to the various cancer types. Each chapter addresses a single disease with emphasis on how the genomic analyses have been or can be... more
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Cancer Genomics: Molecular Cla...This book offers an overview on the applications of microarray gene expression... This book offers an overview on the applications of microarray gene expression and copy number variation analyses to the various cancer types. Each chapter addresses a single disease with emphasis on how the genomic analyses have been or can be... more
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Gene Selection Based on Consis...Consistency modeling for gene selection is a new topic emerging from recent ca... Consistency modeling for gene selection is a new topic emerging from recent cancer bioinformatics research. The result of classification or clustering on a training set was often found very different from the same operations on a testing set. Here... more
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Detection of pathogenic infect...For increasing the knowledge about small RNA an online platform was built in t... For increasing the knowledge about small RNA an online platform was built in this thesis homogenizing the analysis of sequencing data from over 4 000 samples collected in different laboratories worldwide from various organisms. Consequentially... more
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Prediction of Warning Level in...This work focuses on the evaluation of risk and safety in the civil aviation i... This work focuses on the evaluation of risk and safety in the civil aviation industry. The aim of the work is to study the performance of different classification algorithms on accident reports of the Federal Aviation Administration (FAA)... more
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Improved Classification Rates ...Support vector machines (SVMs) are one of the most successful algorithms on sm... Support vector machines (SVMs) are one of the most successful algorithms on small and medium-sized data sets but on large-scale data sets their training and predictions become computationally infeasible. The author considers a spatially defined data... more
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A System for Prediction and An...The accurate prediction and analysis of cancer disease plays a crucial role in... The accurate prediction and analysis of cancer disease plays a crucial role in improving patient outcomes and treatment planning. In this dissertation the model for the prediction and analysis of cancer using deep learning algorithms specifically... more
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A Random Forest Model for Brea...This book highlights on development and optimization of a Random Forest (RF) m... This book highlights on development and optimization of a Random Forest (RF) model to classify breast cancer as benign or malignant using the Wisconsin Breast Cancer Dataset. After preprocessing 569 samples (357 benign 212 malignant) a default RF... more
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Cancer Drug Discovery & Develo...Bioinformatics can be loosely defined as the collection classification storage... Bioinformatics can be loosely defined as the collection classification storage and analysis of biochemical and biological information using computers and mathematical algorithms. Bioinformatics represents a marriage of biology medicine computer... more
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Data Mining Algorithms in C++:...Discover hidden relationships among the variables in your data and learn how t... Discover hidden relationships among the variables in your data and learn how to exploit these relationships. This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification... more
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Algorithms for Intelligent Sys...This book provides an in-depth analysis of the current evolutionary machine le... This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification clustering regression and prediction it includes techniques such as support vector... more
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Algorithms for Intelligent Sys...Chapter 1. Prediction of Anemia Disease Using Classification Methods.- Chapter... Chapter 1. Prediction of Anemia Disease Using Classification Methods.- Chapter 2. Diabetic symptoms prediction through retinopathy.- Chapter 3. Prediction of Cervical Cancer.- Chapter 4. A new 5-layer model approach for Pneumonia Prediction.-... more
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Algorithms for Intelligent Sys...Reading Gauges Using Computer Vision.- Efficient Classification for Age and Ge... Reading Gauges Using Computer Vision.- Efficient Classification for Age and Gender of Unconstrained Face Images.- Prediction of Road Accidents Using Data Mining Techniques.- Eye Gaze Based Student Readability Analysis.- Enhancement of Life Time of... more
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Ads related to cancer pathogenic gene prediction and sample classification algorithm paperback