Genetics

Clinical and diagnostic features of Bartter and Gitelman syndromes.

BACKGROUND: Bartter and Gitelman syndromes are autosomal recessive disorders of renal tubular salt handling. Due to their rarity, limited long-term data are available to inform prognosis and management.

A survey of machine learning applications in HIV clinical research and care.

A wealth of genetic, demographic, clinical and biomarker data is collected from routine clinical care of HIV patients and exists in the form of medical records available among the medical care and research communities. Machine learning (ML) methods have the ability to identify and discover patterns in complex datasets and predict future outcomes of HIV treatment. We survey published studies that m...

Radiomics and radiogenomics in lung cancer: A review for the clinician.

Lung cancer is responsible for a large proportion of cancer-related deaths across the globe, with delayed detection being perhaps the most significant...

Gene Prediction in Metagenomic Fragments with Deep Learning.

Next generation sequencing technologies used in metagenomics yield numerous sequencing fragments which come from thousands of different species. Accur...

Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data.

Disease gene prediction is a challenging task that has a variety of applications such as early diagnosis and drug development. The existing machine le...

Machine learning model for sequence-driven DNA G-quadruplex formation.

We describe a sequence-based computational model to predict DNA G-quadruplex (G4) formation. The model was developed using large-scale machine learnin...

An Ultralightweight and Living Legged Robot.

In this study, we describe the most ultralightweight living legged robot to date that makes it a strong candidate for a search and rescue mission. The...

Ruminal fermentation and microbial community differently influenced by four typical subtropical forages .

The present study evaluated the effects of 4 typical subtropical forages on ruminal microbial community composition to formulate a better diet for buf...

Specific and intrinsic sequence patterns extracted by deep learning from intra-protein binding and non-binding peptide fragments.

The key finding in the DNA double helix model is the specific pairing or binding between nucleotides A-T and C-G, and the pairing rules are the molecu...

De novo prediction of human chromosome structures: Epigenetic marking patterns encode genome architecture.

Inside the cell nucleus, genomes fold into organized structures that are characteristic of cell type. Here, we show that this chromatin architecture c...

MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.

BACKGROUND: P53 mutation status is a pivotal biomarker for gliomas. Here, we developed a machine-learning model to predict p53 status in lower-grade g...

McEnhancer: predicting gene expression via semi-supervised assignment of enhancers to target genes.

Transcriptional enhancers regulate spatio-temporal gene expression. While genomic assays can identify putative enhancers en masse, assigning target ge...

Bacteria-inspired nanorobots with flagellar polymorphic transformations and bundling.

Wirelessly controlled nanoscale robots have the potential to be used for both in vitro and in vivo biomedical applications. So far, the vast majority ...

Open source machine-learning algorithms for the prediction of optimal cancer drug therapies.

Precision medicine is a rapidly growing area of modern medical science and open source machine-learning codes promise to be a critical component for t...

Comparative Analysis of the Cytology and Transcriptomes of the Cytoplasmic Male Sterility Line H276A and Its Maintainer Line H276B of Cotton (Gossypium barbadense L.).

In this study, the tetrad stage of microspore development in a new cotton ( L.) cytoplasmic male sterility (CMS) line, H276A, was identified using par...

Effects and inhibition mechanism of phenazine-1-carboxamide on the mycelial morphology and ultrastructure of Rhizoctonia solani.

The purpose of this research was to explore the effect of phenazine-1-carboxamide (PCN) on Rhizoctonia solani and to elucidate its mechanisms of actio...

Identification of immune signatures predictive of clinical protection from malaria.

Antibodies are thought to play an essential role in naturally acquired immunity to malaria. Prospective cohort studies have frequently shown how conti...

Ontology-based systematical representation and drug class effect analysis of package insert-reported adverse events associated with cardiovascular drugs used in China.

With increased usage of cardiovascular drugs (CVDs) for treating cardiovascular diseases, it is important to analyze CVD-associated adverse events (AE...

Marginalized Denoising Dictionary Learning With Locality Constraint.

Learning good representation for images is always a hot topic in machine learning and pattern recognition fields. Among the numerous algorithms, dicti...

Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.

Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the healthcare industry. To decrease the average length...