AIMC Topic:
Software

Clear Filters Showing 2061 to 2070 of 3488 articles

FAME 2: Simple and Effective Machine Learning Model of Cytochrome P450 Regioselectivity.

Journal of chemical information and modeling Aug 7, 2017
UNLABELLED: We report on the further development of FAst MEtabolizer (FAME; J. Chem. Inf.
Machine Learning Stereoisomerism Substrate Specificity Xenobiotics Software Computational Biology Cytochrome P-450 Enzyme System
View on PubMed DOI

Is Multitask Deep Learning Practical for Pharma?

Journal of chemical information and modeling Aug 1, 2017
Multitask deep learning has emerged as a powerful tool for computational drug discovery. However, despite a number of preliminary studies, multitask deep networks have yet to be widely deployed in the pharmaceutical and biotech industries. This lack ...
Machine Learning Software Serine Proteinase Inhibitors Protein Kinase Inhibitors Absorption, Radiation Drug Discovery Ultraviolet Rays Inhibitory Concentration 50
View on PubMed DOI

An ontology-driven tool for structured data acquisition using Web forms.

Journal of biomedical semantics Aug 1, 2017
BACKGROUND: Structured data acquisition is a common task that is widely performed in biomedicine. However, current solutions for this task are far from providing a means to structure data in such a way that it can be automatically employed in decisio...
Information Storage and Retrieval Biological Ontologies Software Internet
View on PubMed DOI

EMQIT: a machine learning approach for energy based PWM matrix quality improvement.

Biology direct Aug 1, 2017
BACKGROUND: Transcription factor binding affinities to DNA play a key role for the gene regulation. Learning the specificity of the mechanisms of binding TFs to DNA is important both to experimentalists and theoreticians. With the development of high...
Position-Specific Scoring Matrices Datasets as Topic Gene Expression Regulation Binding Sites Software Machine Learning ROC Curve Models, Genetic Computational Biology Transcription Factors Models, Molecular
View on PubMed DOI

Heart sounds analysis using probability assessment.

Physiological measurement Jul 31, 2017
OBJECTIVE: This paper describes a method for automated discrimination of heart sounds recordings according to the Physionet Challenge 2016. The goal was to decide if the recording refers to normal or abnormal heart sounds or if it is not possible to ...
Probability Heart Sounds Algorithms Signal Processing, Computer-Assisted Artificial Intelligence Software
View on PubMed DOI

The combination of circle topology and leaky integrator neurons remarkably improves the performance of echo state network on time series prediction.

PloS one Jul 31, 2017
Recently, echo state network (ESN) has attracted a great deal of attention due to its high accuracy and efficient learning performance. Compared with the traditional random structure and classical sigmoid units, simple circle topology and leaky integ...
Reproducibility of Results Software Principal Component Analysis Neural Networks, Computer Algorithms Nonlinear Dynamics Machine Learning Computer Simulation
View on PubMed DOI

Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.

Magnetic resonance in medicine Jul 21, 2017
PURPOSE: To describe and evaluate a new fully automated musculoskeletal tissue segmentation method using deep convolutional neural network (CNN) and three-dimensional (3D) simplex deformable modeling to improve the accuracy and efficiency of cartilag...
Neural Networks, Computer Software Algorithms Reproducibility of Results Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Bone and Bones Knee Magnetic Resonance Imaging Pattern Recognition, Automated Cartilage
View on PubMed DOI

Protein asparagine deamidation prediction based on structures with machine learning methods.

PloS one Jul 21, 2017
Chemical stability is a major concern in the development of protein therapeutics due to its impact on both efficacy and safety. Protein "hotspots" are amino acid residues that are subject to various chemical modifications, including deamidation, isom...
Molecular Structure Supervised Machine Learning Data Mining Models, Statistical Amides Software Solvents Computer Simulation Asparagine ROC Curve
View on PubMed DOI

Knowledge base and mini-expert platform for the diagnosis of inborn errors of metabolism.

Genetics in medicine : official journal of the American College of Medical Genetics Jul 20, 2017
PurposeRecognizing individuals with inherited diseases can be difficult because signs and symptoms often overlap those of common medical conditions. Focusing on inborn errors of metabolism (IEMs), we present a method that brings the knowledge of high...
Medical Informatics Metabolism, Inborn Errors Chromosome Mapping Expert Testimony Genetic Association Studies Databases, Genetic Knowledge Bases Genetic Predisposition to Disease Genotype Software Algorithms Phenotype Clinical Decision-Making Reproducibility of Results ROC Curve Humans
View on PubMed DOI

Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 16, 2017
Deep learning using convolutional neural networks is an actively emerging field in histological image analysis. This study explores deep learning methods for computer-aided classification in H&E stained histopathological whole slide images of gastric...
Image Processing, Computer-Assisted Electronic Data Processing Algorithms Stomach Neoplasms Neural Networks, Computer Machine Learning Software Humans
View on PubMed DOI
Popular Topics
Recent Journals