AIMC Topic: Reproducibility of Results

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Study of Structure-active Relationship for Inhibitors of HIV-1 Integrase LEDGF/p75 Interaction by Machine Learning Methods.

Molecular informatics Feb 28, 2017
HIV-1 integrase (IN) is a promising target for anti-AIDS therapy, and LEDGF/p75 is proved to enhance the HIV-1 integrase strand transfer activity in vitro. Blocking the interaction between IN and LEDGF/p75 is an effective way to inhibit HIV replicati...
Protein Binding Structure-Activity Relationship Models, Molecular Molecular Structure Intercellular Signaling Peptides and Proteins HIV Integrase Inhibitors Molecular Conformation HIV Integrase Humans Machine Learning Computer Simulation Reproducibility of Results ROC Curve
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A novel hierarchical selective ensemble classifier with bioinformatics application.

Artificial intelligence in medicine Feb 27, 2017
Selective ensemble learning is a technique that selects a subset of diverse and accurate basic models in order to generate stronger generalization ability. In this paper, we proposed a novel learning algorithm that is based on parallel optimization a...
Proteins Area Under Curve Data Mining RNA, Transfer Machine Learning Reproducibility of Results ROC Curve Protein Interaction Maps Computational Biology Databases, Genetic
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Imputation for transcription factor binding predictions based on deep learning.

PLoS computational biology Feb 24, 2017
Understanding the cell-specific binding patterns of transcription factors (TFs) is fundamental to studying gene regulatory networks in biological systems, for which ChIP-seq not only provides valuable data but is also considered as the gold standard....
Reproducibility of Results Sensitivity and Specificity Protein Binding Transcription Factors Hep G2 Cells Humans Neural Networks, Computer Machine Learning Chromatin Immunoprecipitation High-Throughput Nucleotide Sequencing K562 Cells Binding Sites Protein Interaction Mapping
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A study of EMR-based medical knowledge network and its applications.

Computer methods and programs in biomedicine Feb 23, 2017
BACKGROUND AND OBJECTIVE: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support. We attempt to integrate this medical knowledge into a complex network, and then implement a diagnosis ...
Medical Informatics Decision Support Systems, Clinical Cluster Analysis Poisson Distribution Models, Statistical Knowledge Bases Electronic Health Records Reproducibility of Results Diagnosis, Computer-Assisted China Humans Databases, Factual
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Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.

Journal of cardiovascular computed tomography Feb 23, 2017
BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary ...
Humans Algorithms Female Reproducibility of Results Aged Male Multidetector Computed Tomography Middle Aged Computed Tomography Angiography Body Mass Index Radiation Exposure Knowledge Bases Germany Coronary Vessels Predictive Value of Tests Radiation Dosage Signal-To-Noise Ratio Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regions.

Computers in biology and medicine Feb 22, 2017
INTRODUCTION: Researchers have recently discovered that Diabetes Mellitus can be detected through non-invasive computerized method. However, the focus has been on facial block color features. In this paper, we extensively study the effects of texture...
Diabetes Mellitus Support Vector Machine Signal Processing, Computer-Assisted Image Interpretation, Computer-Assisted Pattern Recognition, Automated Algorithms Reproducibility of Results Sensitivity and Specificity Colorimetry Photography Humans
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Subject-based discriminative sparse representation model for detection of concealed information.

Computer methods and programs in biomedicine Feb 20, 2017
BACKGROUND AND OBJECTIVES: The use of machine learning approaches in concealed information test (CIT) plays a key role in the progress of this neurophysiological field. In this paper, we presented a new machine learning method for CIT in which each s...
Sensitivity and Specificity Support Vector Machine Brain Mapping Electroencephalography Healthy Volunteers Electrodes Crime Humans Linear Models Machine Learning Truth Disclosure Artificial Intelligence Random Allocation Guilt Algorithms Signal-To-Noise Ratio Learning Reproducibility of Results
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Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine.

Computational and mathematical methods in medicine Feb 19, 2017
Preterm birth (PTB) is the leading cause of perinatal mortality and long-term morbidity, which results in significant health and economic problems. The early detection of PTB has great significance for its prevention. The electrohysterogram (EHG) rel...
Pregnancy Models, Statistical Electronic Data Processing Humans Labor, Obstetric Female Bayes Theorem Machine Learning Reproducibility of Results Signal Processing, Computer-Assisted Uterine Contraction Algorithms ROC Curve Medical Informatics Databases, Factual Monitoring, Physiologic
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Reduction of Assessment Time for Stroke-Related Impairments Using Robotic Evaluation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 16, 2017
Robotic technologies can provide objective, reliable tools for assessing a broad range of sensory, motor and cognitive functions. However, as additional tasks are developed on these platforms, the time necessary to assess a patient increases. In this...
Diagnostic Techniques, Neurological Task Performance and Analysis Man-Machine Systems Physical Examination Movement Disorders Aged, 80 and over Humans Adult Female Middle Aged Sensitivity and Specificity Reproducibility of Results Male Aged Diagnosis, Computer-Assisted Robotics Workload Stroke
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Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.

Journal of neural engineering Feb 15, 2017
OBJECTIVE: Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. Most of the feature extraction and dimensionality reduction techniques that have been used for spike sorting give a...
Humans Machine Learning Algorithms Computer Simulation Models, Statistical Reproducibility of Results Discriminant Analysis Sensitivity and Specificity Artifacts Models, Neurological Pattern Recognition, Automated Action Potentials Signal-To-Noise Ratio
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