AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Microarray Analysis

Showing 21 to 30 of 41 articles

Clear Filters

Rapid microarray-based assay for detection of pyrazinamide resistant Mycobacterium tuberculosis.

Diagnostic microbiology and infectious disease
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...

A multivariate extension of mutual information for growing neural networks.

Neural networks : the official journal of the International Neural Network Society
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...

Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions.

eNeuro
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...

Prediction analysis and quality assessment of microwell array images.

Electrophoresis
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...

Robotic microplate voltammetry for real-time hydrogel drug release testing.

Analytica chimica acta
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...

Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis.

BioMed research international
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...

SGL-SVM: A novel method for tumor classification via support vector machine with sparse group Lasso.

Journal of theoretical biology
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...

Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Scientific reports
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical ...

Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network.

Computer methods and programs in biomedicine
BACKGROUND: The size of genomics data has been growing rapidly over the last decade. However, the conventional data analysis techniques are incapable of processing this huge amount of data. For the efficient processing of high dimensional datasets, i...