Peptic Ulcer Disease

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 learning methods suffer from the imbalanced sample issue because the number of known disease genes (positive samples) is much less than that of unknown genes which are typically considered to be negative samples. In addition, most methods have not util...

Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

With the growing use of minimally invasive surgical procedures, endoscopic video archives are growing at a rapid pace. Efficient access to relevant content in such huge multimedia archives require compact and discriminative visual features for indexing and matching. In this paper, we present an effective method to represent images using salient convolutional features. Convolutional kernels from th...

Predicting pathogenic genes for primary myelofibrosis based on a system‑network approach.

The aim of the present study was to predict pathogenic genes for primary myelofibrosis (PMF) using a system‑network approach by combining protein‑prot...

PICKLE 2.0: A human protein-protein interaction meta-database employing data integration via genetic information ontology.

It has been acknowledged that source databases recording experimentally supported human protein-protein interactions (PPIs) exhibit limited overlap. T...

Revealing protein functions based on relationships of interacting proteins and GO terms.

BACKGROUND: In recent years, numerous computational methods predicted protein function based on the protein-protein interaction (PPI) network. These m...

A support vector machine classifier for the prediction of osteosarcoma metastasis with high accuracy.

In this study, gene expression profiles of osteosarcoma (OS) were analyzed to identify critical genes associated with metastasis. Five gene expression...

Intelligent visual localization of wireless capsule endoscopes enhanced by color information.

Wireless capsule endoscopy (WCE) is performed with a miniature swallowable endoscope enabling the visualization of the whole gastrointestinal (GI) tra...

Nonparametric Online Learning Control for Soft Continuum Robot: An Enabling Technique for Effective Endoscopic Navigation.

Bioinspired robotic structures comprising soft actuation units have attracted increasing research interest. Taking advantage of its inherent complianc...

Near-patient coagulation testing to predict bleeding after cardiac surgery: a cohort study.

BACKGROUND: Coagulopathic bleeding is common after cardiac surgery and is associated with increased morbidity, mortality and healthcare costs. Impleme...

Small-Molecule Inhibitors of the NusB-NusE Protein-Protein Interaction with Antibiotic Activity.

The NusB-NusE protein-protein interaction (PPI) is critical to the formation of stable antitermination complexes required for stable RNA transcription...

Predictors of short-term and long-term incontinence after robot-assisted radical prostatectomy.

Purpose To determine retrospectively the prognostic factors for urinary incontinence following robot-assisted radical prostatectomy (RARP). Methods Al...

Development of a UPLC-MS/MS method for determination of pimavanserin tartrate in rat plasma: Application to a pharmacokinetic study.

A simple, rapid and sensitive method based on an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) has been developed and ...

Pathophysiology of clinical benign prostatic hyperplasia.

A disease can be defined as an abnormal anatomy (pathology) and/or function (physiology) that may cause harm to the body. In clinical benign prostatic...

Omics Data Complementarity Underlines Functional Cross-Communication in Yeast.

Mapping the complete functional layout of a cell and understanding the cross-talk between different processes are fundamental challenges. They elude u...

Prediction of marker genes associated with hypertension by bioinformatics analyses.

This study aimed to explore the underlying marker genes associated with hypertension by bioinformatics analyses. A gene expression profile (GSE54015) ...

Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method.

BACKGROUND: Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an alternative way to visualize the entire small inte...

Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.

BACKGROUND AND PURPOSE: This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication a...

Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.

Finding new uses for existing drugs has become a new strategy for decades to treat more patients. Few traditional approaches consider the tissue speci...

InterPred: A pipeline to identify and model protein-protein interactions.

Protein-protein interactions (PPI) are crucial for protein function. There exist many techniques to identify PPIs experimentally, but to determine the...

Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier.

Computational methods are employed in bioinformatics to predict protein-protein interactions (PPIs). PPIs and protein-protein non-interactions (PPNIs)...