AIMC Topic: Linear Models
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Diagnostic value of sleep stage dissociation as visualized on a 2-dimensional sleep state space in human narcolepsy.
Journal of neuroscience methods
Feb 20, 2017
BACKGROUND: Type 1 narcolepsy (NT1) is characterized by symptoms believed to represent Rapid Eye Movement (REM) sleep stage dissociations, occurrences where features of wake and REM sleep are intermingled, resulting in a mixed state. We hypothesized ...
Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.
Computer methods and programs in biomedicine
Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Drug Monitoring
Pharmaceutical Preparations
Data Mining
Toluene
Benzene
Support Vector Machine
Carbon
Area Under Curve
Risk
Product Surveillance, Postmarketing
Nervous System
Ethylamines
Linear Models
Pattern Recognition, Automated
False Positive Reactions
Drug Approval
Humans
Algorithms
Patient Safety
Computer Simulation
Sensitivity and Specificity
Safety-Based Drug Withdrawals
Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients.
Scientific reports
Feb 8, 2017
Tacrolimus has a narrow therapeutic window and considerable variability in clinical use. Our goal was to compare the performance of multiple linear regression (MLR) and eight machine learning techniques in pharmacogenetic algorithm-based prediction o...
Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein Docking.
PloS one
Jan 24, 2017
Protein-protein docking protocols aim to predict the structures of protein-protein complexes based on the structure of individual partners. Docking protocols usually include several steps of sampling, clustering, refinement and re-scoring. The scorin...
High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models.
PloS one
Jan 23, 2017
Accurate and detailed spatial soil information is essential for environmental modelling, risk assessment and decision making. The use of Remote Sensing data as secondary sources of information in digital soil mapping has been found to be cost effecti...
A L1-regularized feature selection method for local dimension reduction on microarray data.
Computational biology and chemistry
Dec 31, 2016
Dimension reduction is a crucial technique in machine learning and data mining, which is widely used in areas of medicine, bioinformatics and genetics. In this paper, we propose a two-stage local dimension reduction approach for classification on mic...
HPLC-UV method for simultaneous determination of MK-1775 and AZD-7762 in both acetonitrile-aqueous solution and mouse plasma.
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
Dec 30, 2016
A sensitive and precise method is described for the simultaneous determination of two small molecule kinase inhibitors: MK-1775 (MK) and AZD-7762 (AZD), in acetonitrile (ACN)-aqueous solution and in mouse plasma. A Nova-Pak C18 reversed phase column ...
Simultaneous determination of imperatorin and its metabolite xanthotoxol in rat plasma and urine by LC-MS/MS and its application to pharmacokinetic studies.
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
Dec 28, 2016
An accurate, precise, selective, and sensitive liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) method was developed for the simultaneous determination of imperatorin (IMP) and its metabolite, xanthotoxol (XAN), in rat plasma and ...
Using LTI Dynamics to Identify the Influential Nodes in a Network.
PloS one
Dec 28, 2016
Networks are used for modeling numerous technical, social or biological systems. In order to better understand the system dynamics, it is a matter of great interest to identify the most important nodes within the network. For a large set of problems,...
Maternal urinary paraben levels and offspring size at birth from a Chinese birth cohort.
Chemosphere
Dec 27, 2016
BACKGROUND: Parabens are suspected to impair fetal growth because of their endocrine disrupting effects. Epidemiological studies regarding the effects of prenatal exposure to parabens on birth outcomes are limited.
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