Machine Learning For Protein Subcellular Localization Prediction
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Machine Learning For Protein Subcellular Localization Prediction
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Author : Shibiao Wan
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2015-05-19
Machine Learning For Protein Subcellular Localization Prediction written by Shibiao Wan and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-19 with Technology & Engineering categories.
Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.
Machine Learning For Protein Subcellular Localization Prediction
DOWNLOAD
Author : Shibiao Wan
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2015-05-19
Machine Learning For Protein Subcellular Localization Prediction written by Shibiao Wan and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-19 with Technology & Engineering categories.
Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.
Machine Learning For Protein Subcellular Localization Prediction
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Author : Shibiao Wan
language : en
Publisher:
Release Date : 2015
Machine Learning For Protein Subcellular Localization Prediction written by Shibiao Wan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Machine learning categories.
Proceedings Of The International Conference On Big Data Iot And Machine Learning
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Author : Mohammad Shamsul Arefin
language : en
Publisher: Springer Nature
Release Date : 2021-12-03
Proceedings Of The International Conference On Big Data Iot And Machine Learning written by Mohammad Shamsul Arefin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-03 with Technology & Engineering categories.
This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2021), held in Cox’s Bazar, Bangladesh, during 23–25 September 2021. The book covers research papers in the field of big data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field.
Machine Learning Techniques On Gene Function Prediction Volume Ii
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Author : Quan Zou
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-11
Machine Learning Techniques On Gene Function Prediction Volume Ii written by Quan Zou and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-11 with Science categories.
The Practical Bioinformatician
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Author : Limsoon Wong
language : en
Publisher: World Scientific
Release Date : 2004-05-24
The Practical Bioinformatician written by Limsoon Wong and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-24 with Medical categories.
Computer scientists have increasingly been enlisted as “bioinformaticians” to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics:• Overview of modern molecular biology and a broad spectrum of techniques from computer science — data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc.• In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences.• Incisive discussion of computational prediction of secondary structure of RNA sequences.• Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function.• Overview of methods for discovering protein-protein interactions.• Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions.• Case studies on analysis of phylogenies, functional annotation of proteins, construction of purpose-built integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery.
Computational Science And Its Applications Iccsa 2005
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Author : Osvaldo Gervasi
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-04-27
Computational Science And Its Applications Iccsa 2005 written by Osvaldo Gervasi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-27 with Computers categories.
The four-volume set LNCS 3480-3483 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2005, held in Singapore in May 2005. The four volumes present a total of 540 papers selected from around 2700 submissions. The papers span the whole range of computational science, comprising advanced applications in virtually all sciences making use of computational techniques as well as foundations, techniques, and methodologies from computer science and mathematics, such as high performance computing and communication, networking, optimization, information systems and technologies, scientific visualization, graphics, image processing, data analysis, simulation and modelling, software systems, algorithms, security, multimedia etc.
Gene Cloning
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Author : Lesley Tillman
language : en
Publisher: Scientific e-Resources
Release Date : 1900
Gene Cloning written by Lesley Tillman and has been published by Scientific e-Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 1900 with categories.
Gene cloning is the act of making copies, or clones, of a single gene. Once a gene is identified, clones can be used in many areas of biomedical and industrial research. Genetic engineering is the process of cloning genes into new organisms for altering the DNA sequence to change the protein product. Genetic engineering depends on our ability to perform the following essential procedures. Molecular cloning takes advantage of the fact that the chemical structure of DNA is fundamentally the same in all living organisms. The available information on gene cloning and transgenic development in horticulture crops has been compiled and it is hoped that this would be very useful to students and researchers in the field of biotechnology of horticulture crops. Therefore, if any segment of DNA from any organism is inserted into a DNA segment containing the molecular sequences required for DNA replication, and the resulting recombinant DNA is introduced into the organism from which the replication sequences were obtained, then the foreign DNA will be replicated along with the host cell's DNA in the transgenic organism. The book has been designed for students, research scholars and teachers involved in the field
Machine Learning And Systems Biology In Genomics And Health
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Author : Shailza Singh
language : en
Publisher: Springer Nature
Release Date : 2022-02-04
Machine Learning And Systems Biology In Genomics And Health written by Shailza Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Science categories.
This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.
Machine Learning And Computational Intelligence Techniques For Data Engineering
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Author : Pradeep Singh
language : en
Publisher: Springer Nature
Release Date : 2023-05-15
Machine Learning And Computational Intelligence Techniques For Data Engineering written by Pradeep Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Technology & Engineering categories.
This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.