Unsupervised machine learning as a part of machine learning is an algorithm that identifies available information without any guidance or supervision in a form of clustering. When producing clustering analysis, obtaining optimized data is crucial. Missing values, zero values, inappropriate data input and outliers can affect the overall analysis of the dataset. Data cleaning tools in the data cl…
Skin Cutaneous Melanoma (SKCM) is one of the combative cancers due to the higher estimation in diagnosis case and melanoma deaths between 2020 and 2040. The lack of early management has become the major factor hence the past few years' scientists have been studying the skin cutaneous melanoma using bioinformatics analysis to examine DEGs,generate the risk prediction model and proposing the …
Development of Drugs provide specific information on drug targets, mechanism, and interaction with other drugs. This information is important in order to prevent adverse drug reactions when prescribing more than 1 drugs. Electonic databases like Drugbank provide stotrage and access of this information to the public mass. However, not all drug databases are freely available making it hard to aut…
Assistive technology (AT) is invaluable to people with special educational needs and disabilities, enabling them to function more efficiently. Designed with low power consumption and a GPU capable of running AI frameworks, NVIDIA's Jetson Nano is an affordable embedded system device. With this system, users will be mobile and connected to any computer with an appropriate interface, and able…
PT Meprofarm is a pharmaceutical company founded in 1973 by Bapak Ir. Wanne Mardiwidyo. In the time of the internship, there are 2 main buildings, MEPRO-1 and MEPRO-2. Research and development department falls under the Manufacturing department, which is one of four main departments in PT Meprofarm. Research and development team focuses on drug development, one of the divisions is the new p…
Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and…
Showing you how to take a structured and organized approach to a wide range of literature review types, this book helps you to choose which approach is right for your research. Packed with constructive tools, examples, case studies and hands-on exercises, the book covers the full range of literature review techniques. New to This Edition: Full re-organization takes you step-by-step through …
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or pres…
Logic and Critical Thinking in the Biomedical Sciences: Volume I: Deductions Based upon Simple Observations provides biomedical students and scientists with a repertoire of deductive non-mathematical methods, that helps them draw useful inferences from their own data. The past decade has witnessed a huge increase in the number of books describing advanced mathematical methods for data analysis;…
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students th…
Practical Bioinformatics is specifically designed for biology majors, with a heavy emphasis on the steps required to perform bioinformatics analysis to answer biological questions. It is written for courses that have a practical, hands-on element and contains many exercises (for example, database searches, protein analysis, data interpretation) to complement the straightforward and practical to…
Reflecting new software updates, and with more advanced topics, the Fourth Edition helps the student create phylogenetic trees from protein or nucleic acid sequence data. The reader is taken step-by-step from identifying the sequences required, to drawing the tree for presentation to an intended audience.
The Phylogenetic Handbook is a broad, hands on guide to theory and practice of nucleotide and protein phylogenetic analysis. This second edition includes six new chapters, covering topics such as Bayesian inference, tree topology testing and the impact of recombination on phylogenies, as well as a detailed section on molecular adaptation. The book has a stronger focus on hypothesis testing than…
DNA microarrays have revolutionized molecular biology and are becoming a standard tool in the field. Dov Stekel's book is a comprehensive guide to the mathematics, statistics, and computing required to use microarrays successfully. Unlike traditional molecular biology, the successful use of DNA microarrays requires the application of statistics and computing to design the arrays and experiments…
Over 500 prokaryotic genomes have been sequenced to date, and thousands more have been planned for the next few years. While these genomic sequence data provide unprecedented opportunities for biologists to study the world of prokaryotes, they also raise extremely challenging issues such as how to decode the rich information encoded in these genomes. This comprehensive volume includes a collect…
Computers have become an essential component of modern biology. They help to manage the vast and increasing amount of biological data and continue to play an integral role in the discovery of new biological relationships. This in silico approach to biology has helped to reshape the modern biological sciences. With the biological revolution now among us, it is imperative that each scientist deve…
This fully revised version of a world-renowned bestseller provides readers with a practical guide covering the full scope of key concepts in bioinformatics, from databases to predictive and comparative algorithms. Using relevant biological examples, the book provides background on and strategies for using many of the most powerful and commonly used computational approaches for biological discov…
One of the most pressing tasks in biotechnology today is to unlock the function of each of the thousands of new genes identified every day. Scientists do this by analyzing and interpreting proteins, which are considered the task force of a gene. This single source reference covers all aspects of proteins, explaining fundamentals, synthesizing the latest literature, and demonstrating the most im…
As more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider au…
Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help readers from both biology and computer scien…
Most life science researchers will agree that biology is not a truly theoretical branch of science. The hype around computational biology and bioinformatics beginning in the nineties of the 20th century was to be short lived (1, 2). When almost no value of practical importance such as the optimal dose of a drug or the three-dimensional structure of an orphan protein can be computed from fundame…
Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carry…
Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithm…
Database Systems is ideal for a one- or two-term course in database management or database design in an undergraduate or graduate level course. With its comprehensive coverage, this book can also be used as a reference for IT professionals. This best-selling text introduces the theory behind databases in a concise yet comprehensive manner, providing database design methodology that can be us…
Database Systems: The Complete Book is ideal for Database Systems and Database Design and Application courses offered at the junior, senior and graduate levels in Computer Science departments. A basic understanding of algebraic expressions and laws, logic, basic data structure, OOP concepts, and programming environments is implied. Written by well-known computer scientists, this introduction…
An introductory, yet comprehensive, database textbook intended for use in undergraduate and graduate information systems database courses. This text also provides practical content to current and aspiring information systems, business data analysis, and decision support industry professionals. Database Systems: Introduction to Databases and Data Warehouses covers both analytical and operati…
Database System Concepts by Silberschatz, Korth and Sudarshan is now in its 6th edition and is one of the cornerstone texts of database education. It presents the fundamental concepts of database management in an intuitive manner geared toward allowing students to begin working with databases as quickly as possible. The text is designed for a first course in databases at the junior/senior under…
A comprehensive introduction to research methods in business for students planning or undertaking a dissertation or extensive research project in business and management. The sixth edition of Research Methods for Business Students brings the theory, philosophy and techniques of research to life and enables students to understand the practical relevance of the research methods. A highly accessib…
The evolutionary history of species is traditionally represented using a rooted phylogenetic tree. However, when reticulate events such as hybridization, horizontal gene transfer or recombination are believed to be involved, phylogenetic networks that can accommodate non-treelike evolution have an important role to play. This book provides the first interdisciplinary overview of phylogenetic ne…
Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.
Data Analysis in Molecular Biology and Evolution introduces biologists to DAMBE, a proprietary, user-friendly computer program for molecular data analysis. The unique combination of this book and software will allow biologists not only to understand the rationale behind a variety of computational tools in molecular biology and evolution, but also to gain instant access to these tools for use in…