AIMC Topic: Reproducibility of Results

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Multiscale High-Level Feature Fusion for Histopathological Image Classification.

Computational and mathematical methods in medicine Dec 31, 2017
Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It c...
Area Under Curve Diagnostic Imaging False Positive Reactions Image Processing, Computer-Assisted Models, Statistical Principal Component Analysis Neural Networks, Computer Machine Learning Software Diagnosis, Computer-Assisted Algorithms ROC Curve Reproducibility of Results
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Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.

Computational and mathematical methods in medicine Dec 31, 2017
Breast cancer is one of the largest causes of women's death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The inv...
Machine Learning Humans Algorithms Neural Networks, Computer Female Support Vector Machine Reproducibility of Results Breast Neoplasms Australia Cluster Analysis Diagnosis, Computer-Assisted Bayes Theorem Image Processing, Computer-Assisted
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Analogous detection of circulating tumor cells using the AccuCyte -CyteFinder system and ISET system in patients with locally advanced and metastatic prostate cancer.

The Prostate Dec 29, 2017
INTRODUCTION: Circulating tumor cells (CTCs) can provide important information on patient's prognosis and treatment efficacy. Currently, a plethora of methods is available for the detection of these rare cells. We compared the outcomes of two of thos...
Cell Separation Fluorescent Antibody Technique Neoplastic Cells, Circulating Cell Count Prospective Studies Epithelial Cell Adhesion Molecule Humans Reproducibility of Results Middle Aged Biomarkers, Tumor Aged Prostatic Neoplasms Male
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Determination of IMM-H004 and its active glucuronide metabolite in rat plasma and Ringer's solution by ultra-performance liquid chromatography-tandem mass spectrometry.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Dec 29, 2017
IMM-H004 is a novel neuroprotective agent and its glucuronide metabolite IMM-H004G has similar protective effects against cerebral ischemic injury in vivo and in vitro. A specific and sensitive ultra-performance liquid chromatography-tandem mass spec...
Tandem Mass Spectrometry Glucuronides Drug Stability Coumarins Brain Chemistry Linear Models Isotonic Solutions Rats Rats, Sprague-Dawley Chromatography, Liquid Limit of Detection Reproducibility of Results Animals Male Ringer's Solution
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Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes.

Sensors (Basel, Switzerland) Dec 29, 2017
Life expectancy is increasing and, so, the years that patients have to live with chronic diseases and co-morbidities. Type 2 diabetes is one of the most prevalent chronic diseases, specifically linked to being overweight and ages over sixty. Recent s...
Humans Chronic Disease Reproducibility of Results Prospective Studies Diabetes Mellitus, Type 2
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Technology-assisted risk of bias assessment in systematic reviews: a prospective cross-sectional evaluation of the RobotReviewer machine learning tool.

Journal of clinical epidemiology Dec 28, 2017
OBJECTIVES: To evaluate the reliability of RobotReviewer's risk of bias judgments.
Technology Prospective Studies Reproducibility of Results Systematic Reviews as Topic Cross-Sectional Studies Bias Humans Machine Learning
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CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.

BMC bioinformatics Dec 28, 2017
BACKGROUND: The β-Lactamase (BL) enzyme family is an important class of enzymes that plays a key role in bacterial resistance to antibiotics. As the newly identified number of BL enzymes is increasing daily, it is imperative to develop a computationa...
Neural Networks, Computer Databases, Protein Models, Molecular Amino Acid Sequence beta-Lactamases Algorithms Reproducibility of Results ROC Curve
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DotAligner: identification and clustering of RNA structure motifs.

Genome biology Dec 28, 2017
The diversity of processed transcripts in eukaryotic genomes poses a challenge for the classification of their biological functions. Sparse sequence conservation in non-coding sequences and the unreliable nature of RNA structure predictions further e...
RNA-Binding Proteins Cluster Analysis RNA Base Sequence Reproducibility of Results Genomics Computational Biology Nucleic Acid Conformation Nucleotide Motifs RNA, Untranslated Algorithms
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Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction.

BMC bioinformatics Dec 28, 2017
BACKGROUND: Computational scanning of peptide candidates that bind to a specific major histocompatibility complex (MHC) can speed up the peptide-based vaccine development process and therefore various methods are being actively developed. Recently, m...
Humans Machine Learning Reproducibility of Results Animals Peptides Internet Histocompatibility Antigens Class I Deep Learning Alleles Amino Acid Sequence Protein Binding
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Quantification and pharmacokinetics of alpinetin in rat plasma by UHPLC-MS/MS using protein precipitation coupled with dilution approach to eliminate matrix effects.

Journal of pharmaceutical and biomedical analysis Dec 27, 2017
Alpinetin, a bioactive flavonoid, has attracted great attention due to its diverse therapeutic effects, namely anti-oxidant, anti-tumor and anti-inflammatory effects with low systemic toxicity. Various determination methods have been developed in qua...
Plasma Plant Extracts Reproducibility of Results Flavonoids Flavanones Tandem Mass Spectrometry Animals Rats Limit of Detection Male Biological Availability Administration, Oral Rats, Sprague-Dawley Chromatography, High Pressure Liquid
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