COVID-19

PaPI: pseudo amino acid composition to score human protein-coding variants.

BACKGROUND: High throughput sequencing technologies are able to identify the whole genomic variation of an individual. Gene-targeted and whole-exome experiments are mainly focused on coding sequence variants related to a single or multiple nucleotides. The analysis of the biological significance of this multitude of genomic variant is challenging and computational demanding.

Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector cell responses may have been a key mechanism of the protection observed in the RV144 HIV vaccine trial. In an extensive investigation of a rich set of d...

A common genetic variant of fucosyltransferase 2 correlates with serum carcinoembryonic antigen levels and affects cancer screening in patients with primary sclerosing cholangitis.

BACKGROUND: Primary sclerosing cholangitis (PSC) patients are at increased risk of biliary tract cancer, and carcinoembryonic antigen (CEA) serum leve...

Semantic network mapping of religious material: testing multi-agent computer models of social theories against real-world data.

Agent-based modeling allows researchers to investigate theories of complex social phenomena and subsequently use the model to generate new hypotheses ...

NIEluter: Predicting peptides eluted from HLA class I molecules.

The immune system has evolved to make a diverse repertoire of peptides processed from self and foreign proteomes, which are displayed in antigen-bindi...

Cytotoxic response of platinum-coated gold nanorods in human breast cancer cells at very low exposure levels.

Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application in biomedical field such as bio-sensing, bio-imag...

Printing 2-dimentional droplet array for single-cell reverse transcription quantitative PCR assay with a microfluidic robot.

This paper describes a nanoliter droplet array-based single-cell reverse transcription quantitative PCR (RT-qPCR) assay method for quantifying gene ex...

ACOustic: A Nature-Inspired Exploration Indicator for Ant Colony Optimization.

A statistical machine learning indicator, ACOustic, is proposed to evaluate the exploration behavior in the iterations of ant colony optimization algo...

Support vector machine and fuzzy C-mean clustering-based comparative evaluation of changes in motor cortex electroencephalogram under chronic alcoholism.

In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroencephalogram (EEG) were examined to address the pro...

Systematic artifacts in support vector regression-based compound potency prediction revealed by statistical and activity landscape analysis.

Support vector machines are a popular machine learning method for many classification tasks in biology and chemistry. In addition, the support vector ...

Adaptive myoelectric pattern recognition toward improved multifunctional prosthesis control.

The non-stationary property of electromyography (EMG) signals in real life settings usually hinders the clinical application of the myoelectric patter...

Coefficient of Friction Patterns Can Identify Damage in Native and Engineered Cartilage Subjected to Frictional-Shear Stress.

The mechanical loading environment encountered by articular cartilage in situ makes frictional-shear testing an invaluable technique for assessing eng...

Prediction of success for polymerase chain reactions using the Markov maximal order model and support vector machine.

Polymerase chain reaction (PCR) is hailed as one of the monumental scientific techniques of the twentieth century, and has become a common and often i...

Types and effects of protein variations.

Variations in proteins have very large number of diverse effects affecting sequence, structure, stability, interactions, activity, abundance and other...

RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease.

To facilitate precision medicine and whole-genome annotation, we developed a machine-learning technique that scores how strongly genetic variants affe...

Determining the appropriate amount of anesthetic gas using DWT and EMD combined with neural network.

The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models h...

DANN: a deep learning approach for annotating the pathogenicity of genetic variants.

UNLABELLED: Annotating genetic variants, especially non-coding variants, for the purpose of identifying pathogenic variants remains a challenge. Combi...

Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating the anti-obesity property of a potent medicinal plan...

Estimation of teaching-learning-based optimization primer design using regression analysis for different melting temperature calculations.

Primers plays important role in polymerase chain reaction (PCR) experiments, thus it is necessary to select characteristic primers. Unfortunately, man...

Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.

Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an...