Gene Prediction: Applying Ontology and Machine Learning (Volume III) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Gene Prediction: Applying Ontology and Machine Learning (Volume III) write by Casper Harvey. This book was released on 2023-09-26. Gene Prediction: Applying Ontology and Machine Learning (Volume III) available in PDF, EPUB and Kindle. Gene prediction refers to the process of identifying the regions of genomic DNA that encodes genes using computational methods. It is an important part of bioinformatics. Gene prediction is the first step for annotating large and contiguous sequences. It aids in identifying the essential elements of the genome including functional genes, intron, splicing sites, exon, and regulatory sites. It is also used in describing the individual genes based on their functions. Protein function prediction is an important part of genome annotation. Lately, high-throughput sequencing technologies have led to development of prediction methods. Gene ontology (GO) is one of the databases that are available for identifying the functional properties of proteins. Research in this domain is now focused on efficiently predicting the GO terms. Researches are ongoing on the use of machine learning algorithms for functional prediction as these algorithms use rule-based approaches to integrate large amounts of heterogeneous data and detect patterns. mSplicer, mGene, and CONTRAST are methods that use machine learning techniques for gene prediction. Gene prediction methods are widely used in fields like structural genomics, functional genomics, and genome studies. This book traces the progress of gene prediction and the application of ontology and machine learning. It is appropriate for students seeking detailed information in this area of study as well as for experts.
Gene Prediction: Applying Ontology and Machine Learning (Volume II)
Gene Prediction: Applying Ontology and Machine Learning (Volume II) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Gene Prediction: Applying Ontology and Machine Learning (Volume II) write by Casper Harvey. This book was released on 2023-09-26. Gene Prediction: Applying Ontology and Machine Learning (Volume II) available in PDF, EPUB and Kindle. Gene prediction refers to the process of identifying the regions of genomic DNA that encodes genes using computational methods. It is an important part of bioinformatics. Gene prediction is the first step for annotating large and contiguous sequences. It aids in identifying the essential elements of the genome including functional genes, intron, splicing sites, exon, and regulatory sites. It is also used in describing the individual genes based on their functions. Protein function prediction is an important part of genome annotation. Lately, high-throughput sequencing technologies have led to development of prediction methods. Gene ontology (GO) is one of the databases that are available for identifying the functional properties of proteins. Research in this domain is now focused on efficiently predicting the GO terms. Researches are ongoing on the use of machine learning algorithms for functional prediction as these algorithms use rule-based approaches to integrate large amounts of heterogeneous data and detect patterns. mSplicer, mGene, and CONTRAST are methods that use machine learning techniques for gene prediction. Gene prediction methods are widely used in fields like structural genomics, functional genomics, and genome studies. This book traces the progress of gene prediction and the application of ontology and machine learning. It is appropriate for students seeking detailed information in this area of study as well as for experts.
Gene Prediction: Applying Ontology and Machine Learning (Volume I)
Gene Prediction: Applying Ontology and Machine Learning (Volume I) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Gene Prediction: Applying Ontology and Machine Learning (Volume I) write by Casper Harvey. This book was released on 2023-09-26. Gene Prediction: Applying Ontology and Machine Learning (Volume I) available in PDF, EPUB and Kindle. Gene prediction refers to the process of identifying the regions of genomic DNA that encodes genes using computational methods. It is an important part of bioinformatics. Gene prediction is the first step for annotating large and contiguous sequences. It aids in identifying the essential elements of the genome including functional genes, intron, splicing sites, exon, and regulatory sites. It is also used in describing the individual genes based on their functions. Protein function prediction is an important part of genome annotation. Lately, high-throughput sequencing technologies have led to development of prediction methods. Gene ontology (GO) is one of the databases that are available for identifying the functional properties of proteins. Research in this domain is now focused on efficiently predicting the GO terms. Researches are ongoing on the use of machine learning algorithms for functional prediction as these algorithms use rule-based approaches to integrate large amounts of heterogeneous data and detect patterns. mSplicer, mGene, and CONTRAST are methods that use machine learning techniques for gene prediction. Gene prediction methods are widely used in fields like structural genomics, functional genomics, and genome studies. This book traces the progress of gene prediction and the application of ontology and machine learning. It is appropriate for students seeking detailed information in this area of study as well as for experts.
Automated Gene Function Prediction
Automated Gene Function Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Automated Gene Function Prediction write by Vinayagam Arunachalam. This book was released on 2007. Automated Gene Function Prediction available in PDF, EPUB and Kindle. The objective of biological research is to understand the structural and the functional aspects of life. Though living organisms are diverse in almost every aspect, they are made of cells, and share the same machinery for their basic functions. The structural and functional aspect of life is traceable to genes, given that the information from the genes determine the protein composition and thereby the function of the cell. Hence, predicting the functions of individual genes is the gate way for understanding the blueprint of life. The rationale behind the ongoing genome sequencing projects is to utilize the sequence information to understand the genes and their functions. The exponential increase in the amount of sequence information enunciated the need for an automated approach to acquire knowledge about their biological function. This book introduces the general strategies used in the automated annotation of genes and protein sequences. Specifically, it describes a method utilizing the machine learning approach to predict gene function. This book is addressed to researchers involved in predicting gene function and applying machine learning algorithms to other biological problems.
Machine Learning Techniques on Gene Function Prediction Volume II
Machine Learning Techniques on Gene Function Prediction Volume II - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning Techniques on Gene Function Prediction Volume II write by Quan Zou. This book was released on 2023-04-11. Machine Learning Techniques on Gene Function Prediction Volume II available in PDF, EPUB and Kindle.
