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« upendra kumar devisetty »

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  • Deep Learning for Genomics

    Data-driven approaches for genomics applications in life sciences and biotechnology

    par Upendra Kumar Devisetty ...
    Learn concepts, methodologies, and applications of deep learning for building predictive models from complex genomics data sets to overcome challenges in the life sciences and biotechnology industries Key Features • Apply deep learning algorithms to solve real-world problems in the field of genomics • Extract biological insights from deep learning models built from genomic datasets • Train, tune, ... En savoir plus

    $39.99 CAD ou Gratuit avec Kobo Plus

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  • Essential Bioinformatics

    par Jin Xiong ...
    Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered ... En savoir plus

    $101.99 CAD

  • Algorithms in Computational Molecular Biology

    Techniques, Approaches and Applications

    par Yi Pan ...
    Collections Livre 21 - Wiley Series in Bioinformatics
    This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles ... En savoir plus

    $217.99 CAD

  • Basics of Computer Application in Pharmacy

    par Jitendra Patel ...
    It illustrates various networking concepts like LAN, WAN etc.. also this book covers in detail all the concepts of Email systems. ... En savoir plus

    $6.99 CAD ou Gratuit avec Kobo Plus

  • Bioinformatics: A Practical Handbook Of Next Generation Sequencing And Its Applications

    par Lloyd Wai Yee Low, Martti Tapani Tammi ...
    Rapid technological developments have led to increasingly efficient sequencing approaches. Next Generation Sequencing (NGS) is increasingly common and has become cost-effective, generating an explosion of sequenced data that need to be analyzed. The skills required to apply computational analysis to target research on a wide range of applications that include identifying causes of cancer, vaccine ... En savoir plus

    $68.99 CAD

  • Data Science Solutions with Python

    Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn

    par Tshepo Chris Nokeri ...
    Collections series Professional and Applied Computing (R0)
    Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate the machine learning (ML) process.The book covers an in-memory, distributed cluster computing framework known as PySpark, machine learning framework platforms known as scikit ... En savoir plus

    $44.29 CAD

  • Introduction to Bioinformatics with R

    A Practical Guide for Biologists

    par Edward Curry ...
    Collections series Chapman & Hall/CRC Computational Biology Series
    In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics*.* An Introduction to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational ... En savoir plus

    $116.99 CAD

  • Introduction to Bioinformatics Using Action Labs

    par Jean-Louis Lassez, Ryan Rossi, Stephen Sheel ...
    Bioinformatics is the application of computational techniques and tools to analyze and manage biological data. This book provides an introduction to bioinformatics through the use of Action Labs. These labs allow students to get experience using real data and tools to solve difficult problems. The book comes with supplementary software tools and papers. The labs use data from Breast Cancer, Liver ... En savoir plus

    $5.99 CAD

  • Basic Applied Bioinformatics

    par Chandra Sekhar Mukhopadhyay, Ratan Kumar Choudhary, Mir Asif Iquebal ...
    An accessible guide that introduces students in all areas of life sciences to bioinformaticsBasic Applied Bioinformatics provides a practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusions from the results. In addition to parameter optimization, the text will also familiarize students with relevant terminology. Basic ... En savoir plus

    $161.99 CAD

  • Computational Modeling Of Gene Regulatory Networks - A Primer

    par Hamid Bolouri ...
    This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is ... En savoir plus

    $39.99 CAD

  • Hands-On Healthcare Data

    Taming the Complexity of Real-World Data

    par Andrew Nguyen ...
    Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data.This book ... En savoir plus

    $77.99 CAD

  • Java Deep Learning Projects

    Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

    par Md. Rezaul Karim ...
    Build and deploy powerful neural network models using the latest Java deep learning librariesKey Features\[\*\] Understand DL with Java by implementing real-world projects\[\*\] Master implementations of various ANN models and build your own DL systems\[\*\] Develop applications using NLP, image classification, RL, and GPU processingBook DescriptionJava is one of the most widely used programming ... En savoir plus

    $47.99 CAD ou Gratuit avec Kobo Plus