Studiebog
    Big Data Analytics in Chemoinformatics and Bioinformatics

    Big Data Analytics in Chemoinformatics and Bioinformatics

    - With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology

    Forfatter: info mangler
    Bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology provides an up-to-date presentation of big data analytics methods and their applications in diverse fields. The proper management of big data for decision-making in scientific and social issues is of paramount importance. This book gives researchers the tools they need to solve big data problems in these fields. It begins with a section on general topics that all readers will find useful and continues with specific sections covering a range of interdisciplinary applications. Here, an international team of leading experts review their respective fields and present their latest research findings, with case studies used throughout to analyze and present key information.

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    Detaljer
    Størrelse og vægt
  • Vægt450 g
    • coffee cup img
    10 cm
    book img
    15,2 cm
    22,9 cm

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    Se andre, der handler om...

    Cancer Graph theory. Machine learning Fairness Bioinformatics Molecular Structure Pharmacogenomics Drug Discovery Mutagenicity Big data Expert Systems Artificial intelligence Recursive partitioning Precision Medicine Chemoinformatics AOP Deep Neural Networks Artificial Neural Network ANN Complex Network Theory Clustering Pharmacophore modeling High-throughput screening Decision support system Connect the dots RNA-Seq Feature extraction Data Integration Principal Component Analysis (PCA) Deep learning: Pancreatic cancer Hydrophobicity Drug repurposing Möbius inversion QSAR Big data/analytics Molecular descriptors High dimensional data Differential privacy Computer-aided drug design Predictive toxicology Homology Modeling adversarial robustness Adverse outcome pathway Alignment-free sequence descriptors (AFSDs) Carcinogenic Potency Database Biodescriptor Colligative property Complementary information content (CIC) Congeneric sets Contact string Combinatorics of large data sets Connect the connectors Curse of dimensionality Binding affinity to androgen receptor Differential QSAR (DiffQSAR) Drug database Compounds database Chemical mutagenic activities Chemodescriptor Drug-like molecule CliquePharm Constitutive property Hansch analysis Hypercubes for large date sets Hot-null spots Electrotopological state index Electrophilicity Index M-estimation Explainable AI Lead Compound Naive q2 Middle East respiratory syndrome (MERS) virus Model object Multidomain classification Multiple Linear Regression Hierarchical QSAR (HiQSAR) Peptide vaccine design Protein function and active space Information content (IC) Penalized density power divergence Protein–protein interaction network analysis retrosynthesis Rank Deficient Malonic acid Minimum divergence estimation ML bias model interpretation Multidimensional feature vectors Middle East respiratory syndrome (MERS) coronavirus Linear free energy relationship (LFER) Protein structure space Protein topology SARS-CoV-2/COVID-19 Protein–protein docking (PPD) Pharmacophore and dynaphore Phylogenetic learning trees Quantum chemical descriptors Quantum parameters of halocarbons Big Data Analytics

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