AIMC Topic: Microarray Analysis

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Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning.

Scientific reports Mar 5, 2020
Early detection of breast cancer and its correct stage determination are important for prognosis and rendering appropriate personalized clinical treatment to breast cancer patients. However, despite considerable efforts and progress, there is a need ...
Humans Machine Learning Databases, Genetic Reproducibility of Results Early Detection of Cancer Neoplasm Staging Carcinoma, Ductal, Breast Breast Neoplasms Models, Biological Transcriptome Microarray Analysis Algorithms Supervised Machine Learning Protein Interaction Maps Gene Ontology Female Datasets as Topic RNA-Seq RNA, Neoplasm
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Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis.

BioMed research international Dec 14, 2019
Determining an optimal decision model is an important but difficult combinatorial task in imbalanced microarray-based cancer classification. Though the multiclass support vector machine (MCSVM) has already made an important contribution in this field...
Humans Data Analysis Models, Statistical Principal Component Analysis Linear Models Microarray Analysis Algorithms Neoplasms Support Vector Machine
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SGL-SVM: A novel method for tumor classification via support vector machine with sparse group Lasso.

Journal of theoretical biology Nov 28, 2019
At present, with the in-depth study of gene expression data, the significant role of tumor classification in clinical medicine has become more apparent. In particular, the sparse characteristics of gene expression data within and between groups. Ther...
Microarray Analysis Neoplasms Gene Expression Profiling Support Vector Machine Humans Software Algorithms
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Rapid microarray-based assay for detection of pyrazinamide resistant Mycobacterium tuberculosis.

Diagnostic microbiology and infectious disease Dec 30, 2018
Pyrazinamide (PZA) is a key antibiotic for the treatment of drug susceptible tuberculosis. PZA-resistance is mainly mediated by mutations in the pncA gene; however the current gold standard is a phenotypic drug susceptibility test requiring a well-ad...
Transition Temperature Antitubercular Agents Tuberculosis, Multidrug-Resistant Genotype Amidohydrolases Microarray Analysis Humans Molecular Diagnostic Techniques Mycobacterium tuberculosis Eswatini Sensitivity and Specificity Pyrazinamide DNA, Bacterial Time Factors
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Robotic microplate voltammetry for real-time hydrogel drug release testing.

Analytica chimica acta Aug 20, 2018
Robotic square wave voltammetry (SVW) in 24-well microtiter plates has been developed as a reliable non-manual procedure for quantifying drug release from pharmaceutical hydrogels. The assay was established using 1% agarose disks containing Paracetam...
Acetaminophen Drug Liberation Automation Microarray Analysis Humans Robotics Electrodes Hydrogels Electrochemical Techniques Limit of Detection
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Prediction analysis and quality assessment of microwell array images.

Electrophoresis Jan 24, 2018
Microwell arrays are widely used for the analysis of fluorescent-labelled biomaterials. For rapid detection and automated analysis of microwell arrays, the computational image analysis is required. Support Vector Machines (SVM) can be used for this t...
Optical Imaging Light Biological Assay Microarray Analysis Computer Simulation Support Vector Machine Fluorescent Dyes Algorithms
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Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions.

eNeuro Dec 21, 2017
The supraoptic nucleus (SON) is a group of neurons in the hypothalamus responsible for the synthesis and secretion of the peptide hormones vasopressin and oxytocin. Following physiological cues, such as dehydration, salt-loading and lactation, the SO...
Animals Male Female Unsupervised Machine Learning RNA, Messenger Data Mining RNA-Binding Proteins Transcriptome Gene Expression Regulation Rats Real-Time Polymerase Chain Reaction Supraoptic Nucleus Microarray Analysis Computational Biology PC12 Cells
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A multivariate extension of mutual information for growing neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2017
Recordings of neural network activity in vitro are increasingly being used to assess the development of neural network activity and the effects of drugs, chemicals and disease states on neural network function. The high-content nature of the data der...
Neurons Microarray Analysis Microelectrodes Patch-Clamp Techniques Neural Networks, Computer Action Potentials
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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...
Linear Models Microarray Analysis Data Mining Datasets as Topic
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Brief isoflurane anaesthesia affects differential gene expression, gene ontology and gene networks in rat brain.

Behavioural brain research Sep 19, 2016
Much is still unknown about the mechanisms of effects of even brief anaesthesia on the brain and previous studies have simply compared differential expression profiles with and without anaesthesia. We hypothesised that network analysis, in addition t...
Brain Rats Anesthetics, Inhalation Rats, Sprague-Dawley Animals Isoflurane Cluster Analysis Male Gene Expression Microarray Analysis Gene Regulatory Networks Gene Ontology
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