Big Data Analytics in Chemoinformatics and Bioinformatics
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Big Data Analytics in Chemoinformatics and Bioinformatics
With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology
Basak, Subhash C.; Vracko, Marjan
Elsevier - Health Sciences Division
12/2022
502
Mole
Inglês
9780323857130
15 a 20 dias
Descrição não disponível.
GENERAL SECTION:
CHEMOINFORMATICS AND BIOINFORMATICS BY DISCRETE MATHEMATICS AND NUMBERS: An adventure from small data to the realm of emerging big data
Robustness Concerns in High-dimensional Data Analysis and Potential Solutions
The Social Face of Big Data: Privacy, Transparency, Bias and Fairness in Algorithms
CHEMISTRY & CHEMOINFORMATICS SECTION:
Integrating data into a complex Adverse Outcome Pathway
Big data and deep learning: extracting and revising chemical knowledge from data
Retrosynthetic space persuades by big data descriptors, by Claudiu N Lungu
Approaching history of chemistry through big data on chemical reactions and compounds
Combinatorial Techniques for Large Data Sets: Hypercubes and Halocarbons
Development of QSAR/QSPR/QSTR models based on Electrophilicity index: A Conceptual DFT based descriptor
Pharmacophore based virtual screening of large compound databases can aid "big data" problems in drug discovery
A New Robust Classifier to Detect Hot-Spots and Null-Spots in Protein-Protein Interface: Validation of Binding Pocket and Identification of Inhibitors in in-vitro and in-vivo Models
Mining Big Data in Drug Discovery - Triaging and Decision Trees
BIOINFORMATICS AND COMPUTATIOANL TOXICOLOGY SECTION:
Use of proteomics data and proteomics based biodescriptors in the estimation of bioactivity/ toxicity of chemicals and nanosubstances
Mapping Interaction between Big spaces; active space from Protein structure and available chemical space
Artificial Intelligence, Big Data and Machine Learning approaches in Genome-wide SNP based prediction for Precision Medicine & Drug Discovery
Applications of alignment-free sequence descriptors (AFSDs) in the characterization of sequences in the age of big data: A case study with Zika virus, SARS, MERS, and COVID-19
Scalable QSAR Systems for Predictive Toxicology
From big data to complex network: a navigation through the maze of drug-target interaction
Dissecting big RNA-Seq cancer data using machine learning to find disease-associated genes and the causal mechanism
CHEMOINFORMATICS AND BIOINFORMATICS BY DISCRETE MATHEMATICS AND NUMBERS: An adventure from small data to the realm of emerging big data
Robustness Concerns in High-dimensional Data Analysis and Potential Solutions
The Social Face of Big Data: Privacy, Transparency, Bias and Fairness in Algorithms
CHEMISTRY & CHEMOINFORMATICS SECTION:
Integrating data into a complex Adverse Outcome Pathway
Big data and deep learning: extracting and revising chemical knowledge from data
Retrosynthetic space persuades by big data descriptors, by Claudiu N Lungu
Approaching history of chemistry through big data on chemical reactions and compounds
Combinatorial Techniques for Large Data Sets: Hypercubes and Halocarbons
Development of QSAR/QSPR/QSTR models based on Electrophilicity index: A Conceptual DFT based descriptor
Pharmacophore based virtual screening of large compound databases can aid "big data" problems in drug discovery
A New Robust Classifier to Detect Hot-Spots and Null-Spots in Protein-Protein Interface: Validation of Binding Pocket and Identification of Inhibitors in in-vitro and in-vivo Models
Mining Big Data in Drug Discovery - Triaging and Decision Trees
BIOINFORMATICS AND COMPUTATIOANL TOXICOLOGY SECTION:
Use of proteomics data and proteomics based biodescriptors in the estimation of bioactivity/ toxicity of chemicals and nanosubstances
Mapping Interaction between Big spaces; active space from Protein structure and available chemical space
Artificial Intelligence, Big Data and Machine Learning approaches in Genome-wide SNP based prediction for Precision Medicine & Drug Discovery
Applications of alignment-free sequence descriptors (AFSDs) in the characterization of sequences in the age of big data: A case study with Zika virus, SARS, MERS, and COVID-19
Scalable QSAR Systems for Predictive Toxicology
From big data to complex network: a navigation through the maze of drug-target interaction
Dissecting big RNA-Seq cancer data using machine learning to find disease-associated genes and the causal mechanism
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
AOP; Adversarial robustness; Adverse outcome pathway; Alignment-free sequence descriptors (AFSDs); Artificial intelligence; Artificial neural network (ANN); Big data; Big data analytics; Binding affinity to androgen receptor; Biodescriptor; Bioinformatics; Cancer; Carcinogenic Potency Database; Chemical mutagenic activities; Chemodescriptor; Chemoinformatics; CliquePharm; Clustering; Colligative property; Combinatorics of large data sets; Complementary information content (CIC); Complex network theory; Compounds database; Computer-aided drug design; Congeneric sets; Connect the connectors; Connect the dots; Constitutive property; Contact string; Curse of dimensionality; Data integration; Decision support system; Deep learning; Deep neural networks; Differential QSAR (DiffQSAR); Differential privacy; Drug database; Drug discovery; Drug repurposing; Drug-like molecule; Drug-target interaction; Electrophilicity index; Electrotopological state index; Expert systems; Explainable AI; Fairness; Feature extraction; Graph theory; Hansch analysis; Hierarchical QSAR (HiQSAR); High-dimensional data; High-throughput screening; Homology modeling; Hot-null spots; Hydrophobicity; Hypercubes for large date sets; Information content (IC); Lead compound; Linear free energy relationship (LFER); M-estimation; Moebius inversion; ML bias; Machine learning; Malonic acid; Middle East respiratory syndrome (MERS) coronavirus; Middle East respiratory syndrome (MERS) virus; Minimum divergence estimation; Model interpretation; Model object; Molecular descriptors; Molecular structure; Multidimensional feature vectors; Multidomain classification; Multiple linear regression; Mutagenicity; Naive q2; Pancreatic cancer; Penalized density power divergence; Peptide vaccine design; Pharmacogenomics; Pharmacophore and dynaphore; Pharmacophore modeling; Phylogenetic learning trees; Precision medicine; Predictive toxicology; Principal component analysis (PCA); Protein function and active space; Protein structure space; Protein topology; Protein-protein docking (PPD); Protein-protein interaction network analysis; QSAR; Quantitative structure-activity relationship (QSAR); Quantum chemical descriptors; Quantum parameters of halocarbons; RNA-Seq; Rank deficient; Recursive partitioning; Retrosynthesis; SARS-CoV-2/COVID-19
GENERAL SECTION:
CHEMOINFORMATICS AND BIOINFORMATICS BY DISCRETE MATHEMATICS AND NUMBERS: An adventure from small data to the realm of emerging big data
Robustness Concerns in High-dimensional Data Analysis and Potential Solutions
The Social Face of Big Data: Privacy, Transparency, Bias and Fairness in Algorithms
CHEMISTRY & CHEMOINFORMATICS SECTION:
Integrating data into a complex Adverse Outcome Pathway
Big data and deep learning: extracting and revising chemical knowledge from data
Retrosynthetic space persuades by big data descriptors, by Claudiu N Lungu
Approaching history of chemistry through big data on chemical reactions and compounds
Combinatorial Techniques for Large Data Sets: Hypercubes and Halocarbons
Development of QSAR/QSPR/QSTR models based on Electrophilicity index: A Conceptual DFT based descriptor
Pharmacophore based virtual screening of large compound databases can aid "big data" problems in drug discovery
A New Robust Classifier to Detect Hot-Spots and Null-Spots in Protein-Protein Interface: Validation of Binding Pocket and Identification of Inhibitors in in-vitro and in-vivo Models
Mining Big Data in Drug Discovery - Triaging and Decision Trees
BIOINFORMATICS AND COMPUTATIOANL TOXICOLOGY SECTION:
Use of proteomics data and proteomics based biodescriptors in the estimation of bioactivity/ toxicity of chemicals and nanosubstances
Mapping Interaction between Big spaces; active space from Protein structure and available chemical space
Artificial Intelligence, Big Data and Machine Learning approaches in Genome-wide SNP based prediction for Precision Medicine & Drug Discovery
Applications of alignment-free sequence descriptors (AFSDs) in the characterization of sequences in the age of big data: A case study with Zika virus, SARS, MERS, and COVID-19
Scalable QSAR Systems for Predictive Toxicology
From big data to complex network: a navigation through the maze of drug-target interaction
Dissecting big RNA-Seq cancer data using machine learning to find disease-associated genes and the causal mechanism
CHEMOINFORMATICS AND BIOINFORMATICS BY DISCRETE MATHEMATICS AND NUMBERS: An adventure from small data to the realm of emerging big data
Robustness Concerns in High-dimensional Data Analysis and Potential Solutions
The Social Face of Big Data: Privacy, Transparency, Bias and Fairness in Algorithms
CHEMISTRY & CHEMOINFORMATICS SECTION:
Integrating data into a complex Adverse Outcome Pathway
Big data and deep learning: extracting and revising chemical knowledge from data
Retrosynthetic space persuades by big data descriptors, by Claudiu N Lungu
Approaching history of chemistry through big data on chemical reactions and compounds
Combinatorial Techniques for Large Data Sets: Hypercubes and Halocarbons
Development of QSAR/QSPR/QSTR models based on Electrophilicity index: A Conceptual DFT based descriptor
Pharmacophore based virtual screening of large compound databases can aid "big data" problems in drug discovery
A New Robust Classifier to Detect Hot-Spots and Null-Spots in Protein-Protein Interface: Validation of Binding Pocket and Identification of Inhibitors in in-vitro and in-vivo Models
Mining Big Data in Drug Discovery - Triaging and Decision Trees
BIOINFORMATICS AND COMPUTATIOANL TOXICOLOGY SECTION:
Use of proteomics data and proteomics based biodescriptors in the estimation of bioactivity/ toxicity of chemicals and nanosubstances
Mapping Interaction between Big spaces; active space from Protein structure and available chemical space
Artificial Intelligence, Big Data and Machine Learning approaches in Genome-wide SNP based prediction for Precision Medicine & Drug Discovery
Applications of alignment-free sequence descriptors (AFSDs) in the characterization of sequences in the age of big data: A case study with Zika virus, SARS, MERS, and COVID-19
Scalable QSAR Systems for Predictive Toxicology
From big data to complex network: a navigation through the maze of drug-target interaction
Dissecting big RNA-Seq cancer data using machine learning to find disease-associated genes and the causal mechanism
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
AOP; Adversarial robustness; Adverse outcome pathway; Alignment-free sequence descriptors (AFSDs); Artificial intelligence; Artificial neural network (ANN); Big data; Big data analytics; Binding affinity to androgen receptor; Biodescriptor; Bioinformatics; Cancer; Carcinogenic Potency Database; Chemical mutagenic activities; Chemodescriptor; Chemoinformatics; CliquePharm; Clustering; Colligative property; Combinatorics of large data sets; Complementary information content (CIC); Complex network theory; Compounds database; Computer-aided drug design; Congeneric sets; Connect the connectors; Connect the dots; Constitutive property; Contact string; Curse of dimensionality; Data integration; Decision support system; Deep learning; Deep neural networks; Differential QSAR (DiffQSAR); Differential privacy; Drug database; Drug discovery; Drug repurposing; Drug-like molecule; Drug-target interaction; Electrophilicity index; Electrotopological state index; Expert systems; Explainable AI; Fairness; Feature extraction; Graph theory; Hansch analysis; Hierarchical QSAR (HiQSAR); High-dimensional data; High-throughput screening; Homology modeling; Hot-null spots; Hydrophobicity; Hypercubes for large date sets; Information content (IC); Lead compound; Linear free energy relationship (LFER); M-estimation; Moebius inversion; ML bias; Machine learning; Malonic acid; Middle East respiratory syndrome (MERS) coronavirus; Middle East respiratory syndrome (MERS) virus; Minimum divergence estimation; Model interpretation; Model object; Molecular descriptors; Molecular structure; Multidimensional feature vectors; Multidomain classification; Multiple linear regression; Mutagenicity; Naive q2; Pancreatic cancer; Penalized density power divergence; Peptide vaccine design; Pharmacogenomics; Pharmacophore and dynaphore; Pharmacophore modeling; Phylogenetic learning trees; Precision medicine; Predictive toxicology; Principal component analysis (PCA); Protein function and active space; Protein structure space; Protein topology; Protein-protein docking (PPD); Protein-protein interaction network analysis; QSAR; Quantitative structure-activity relationship (QSAR); Quantum chemical descriptors; Quantum parameters of halocarbons; RNA-Seq; Rank deficient; Recursive partitioning; Retrosynthesis; SARS-CoV-2/COVID-19
