Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou's Five-Step Rule.

DNA-binding proteins play an important role in cell metabolism. In biological laboratories, the dete...

Automated estimation of the number of contributors in autosomal short tandem repeat profiles using a machine learning approach.

The number of contributors (NOC) to (complex) autosomal STR profiles cannot be determined with absol...

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA.

BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative ...

A non-linear mathematical model using optical sensor to predict heart decellularization efficacy.

One of the main problems of the decellularization technique is the subjectivity of the final evaluat...

Identification of prokaryotic promoters and their strength by integrating heterogeneous features.

The promoter is a regulatory DNA region and important for gene transcriptional regulation. It is loc...

Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses.

Influenza A viruses are one of the most significant viral groups globally with substantial impacts o...

Designing Eukaryotic Gene Expression Regulation Using Machine Learning.

Controlling the expression of genes is one of the key challenges of synthetic biology. Until recentl...

Precise Pollen Grain Detection in Bright Field Microscopy Using Deep Learning Techniques.

The determination of daily concentrations of atmospheric pollen is important in the medical and biol...

Bacterial classification with convolutional neural networks based on different data reduction layers.

For high accuracy classification of DNA sequences through Convolutional Neural Networks (CNNs), it i...

Identification of the expressome by machine learning on omics data.

Accurate annotation of plant genomes remains complex due to the presence of many pseudogenes arising...

Formal Medical Knowledge Representation Supports Deep Learning Algorithms, Bioinformatics Pipelines, Genomics Data Analysis, and Big Data Processes.

OBJECTIVE: To select, present, and summarize the best papers published in 2018 in the field of Knowl...

BindSpace decodes transcription factor binding signals by large-scale sequence embedding.

The decoding of transcription factor (TF) binding signals in genomic DNA is a fundamental problem. H...

BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes.

To fully utilize the power of single-cell RNA sequencing (scRNA-seq) technologies for identifying ce...

Neural-network classification of cardiac disease from P cardiovascular magnetic resonance spectroscopy measures of creatine kinase energy metabolism.

BACKGROUND: The heart's energy demand per gram of tissue is the body's highest and creatine kinase (...

Amperometric genosensor for culture independent bacterial count.

Bacterial plate count for general assessment of water quality requires lengthy bacterial culturing. ...

Cross-registry neural domain adaptation to extract mutational test results from pathology reports.

OBJECTIVE: We study the performance of machine learning (ML) methods, including neural networks (NNs...

Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences.

The characterization of antimicrobial resistance genes from high-throughput sequencing data has beco...

Gene Ontology and Expression Studies of Strigolactone Analogues on a Hepatocellular Carcinoma Cell Line.

Human hepatocellular carcinoma (HCC) is the most common and recurrent type of primary adult liver ca...

Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality.

Analysis dictionary learning (ADL) has been successfully applied to a variety of learning systems. H...

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