AIMC Topic: Datasets as Topic

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Integrated machine learning, molecular docking and 3D-QSAR based approach for identification of potential inhibitors of trypanosomal N-myristoyltransferase.

Molecular bioSystems Nov 15, 2016
N-Myristoyltransferase (NMT) catalyzes the transfer of myristate to the amino-terminal glycine of a subset of proteins, a co-translational modification involved in trafficking substrate proteins to membrane locations, stabilization and protein-protei...
Workflow Molecular Dynamics Simulation Enzyme Inhibitors Algorithms Molecular Docking Simulation Protein Binding Quantitative Structure-Activity Relationship Machine Learning Binding Sites Trypanocidal Agents Datasets as Topic Acyltransferases Catalytic Domain Parasitic Sensitivity Tests
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Can we open the black box of AI?

Nature Oct 6, 2016
Neural Networks, Computer Machine Learning Datasets as Topic Physics Creativity Robotics Humans Astronomy Thinking Uncertainty
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XGSA: A statistical method for cross-species gene set analysis.

Bioinformatics (Oxford, England) Sep 1, 2016
MOTIVATION: Gene set analysis is a powerful tool for determining whether an experimentally derived set of genes is statistically significantly enriched for genes in other pre-defined gene sets, such as known pathways, gene ontology terms, or other ex...
Regeneration Datasets as Topic Species Specificity Gene Ontology Software Animals Gene Expression Profiling Vertebrates Conserved Sequence
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Big Data and Machine Learning in Plastic Surgery: A New Frontier in Surgical Innovation.

Plastic and reconstructive surgery May 1, 2016
Medical decision-making is increasingly based on quantifiable data. From the moment patients come into contact with the health care system, their entire medical history is recorded electronically. Whether a patient is in the operating room or on the ...
Surgery, Plastic Internship and Residency Teaching Datasets as Topic Motor Skills Peripheral Nerves Clinical Decision-Making Clinical Competence Microsurgery Burns Humans Hand Machine Learning Craniosynostoses Plastic Surgery Procedures
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A hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy system.

Technology and health care : official journal of the European Society for Engineering and Medicine Apr 29, 2016
Finding the minimum number of appropriate biomarkers for specific targets such as a lung cancer has been a challenging issue in bioinformatics. We propose a hierarchical two-phase framework for selecting appropriate biomarkers that extracts candidate...
Choice Behavior Microarray Analysis Decision Making, Computer-Assisted Genes, Neoplasm Fuzzy Logic Datasets as Topic
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Big Data.

Journal of the American College of Radiology : JACR Mar 1, 2016
Meta-Analysis as Topic Data Mining Datasets as Topic Machine Learning Metadata Radiology Information Systems Diagnostic Imaging Radiology
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Enhancing atlas based segmentation with multiclass linear classifiers.

Medical physics Dec 1, 2015
PURPOSE: To present a method to enrich atlases for atlas based segmentation. Such enriched atlases can then be used as a single atlas or within a multiatlas framework.
Humans Machine Learning Image Processing, Computer-Assisted Diagnostic Imaging Software Brain Datasets as Topic Time Atlases as Topic
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Semi-supervised prediction of gene regulatory networks using machine learning algorithms.

Journal of biosciences Oct 1, 2015
Use of computational methods to predict gene regulatory networks (GRNs) from gene expression data is a challenging task. Many studies have been conducted using unsupervised methods to fulfill the task; however, such methods usually yield low predicti...
Saccharomyces cerevisiae Gene Expression Regulation, Bacterial Gene Expression Regulation, Fungal Escherichia coli Datasets as Topic Escherichia coli Proteins Gene Regulatory Networks Computational Biology Saccharomyces cerevisiae Proteins Transcription Factors Support Vector Machine
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Feature selection using feature dissimilarity measure and density-based clustering: application to biological data.

Journal of biosciences Oct 1, 2015
Reduction of dimensionality has emerged as a routine process in modelling complex biological systems. A large number of feature selection techniques have been reported in the literature to improve model performance in terms of accuracy and speed. In ...
Multifactor Dimensionality Reduction Multigene Family Datasets as Topic Oligonucleotide Array Sequence Analysis Parkinson Disease Gene Expression Arrhythmias, Cardiac Neoplasms Gene Expression Profiling Computational Biology Cluster Analysis Humans Algorithms
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[Algorithms, machine intelligence, big data : general considerations].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Aug 1, 2015
We are experiencing astonishing developments in the areas of big data and artificial intelligence. They follow a pattern that we have now been observing for decades: according to Moore's Law,the performance and efficiency in the area of elementary ar...
Germany Electronic Health Records Machine Learning Health Services Research Datasets as Topic Information Storage and Retrieval Algorithms Forecasting
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