AIMC Topic: Software

Clear Filters Showing 3611 to 3620 of 3675 articles

XGSA: A statistical method for cross-species gene set analysis.

Bioinformatics (Oxford, England)
MOTIVATION: Gene set analysis is a powerful tool for determining whether an experimentally derived set of genes is statistically significantly enriched for genes in other pre-defined gene sets, such as known pathways, gene ontology terms, or other ex...

The Network Library: a framework to rapidly integrate network biology resources.

Bioinformatics (Oxford, England)
MOTIVATION: Much of the biological knowledge accumulated over the last decades is stored in different databases governed by various organizations and institutes. Integrating and connecting these vast knowledge repositories is an extremely useful meth...

Technical Note: Unified imaging and robotic couch quality assurance.

Medical physics
PURPOSE: To introduce a simplified quality assurance (QA) procedure that integrates tests for the linac's imaging components and the robotic couch. Current QA procedures for evaluating the alignment of the imaging system and linac require careful pos...

[Relationship between reference values of fibrinogen and geographical factors based on neural network analysis].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVE: To analyze the relationship between the reference values of fibrinogen (FIB) in healthy Chinese adults and geographical factors to provide scientific evidences for establishing the uniform standard.

A hybrid rule and machine learning based generic alerting platform for smart environments.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Existing smart environment based alert solutions have adopted a relatively complex and tailored approach to supporting individuals. These solutions have involved sensor based monitoring, activity recognition and assistance provisioning. Traditionally...

Blood glucose level prediction based on support vector regression using mobile platforms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The correct treatment of diabetes is vital to a patient's health: Staying within defined blood glucose levels prevents dangerous short- and long-term effects on the body. Mobile devices informing patients about their future blood glucose levels could...

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The development of wearable sensors has opened the door for long-term assessment of movement disorders. However, there is still a need for developing methods suitable to monitor motor symptoms in and outside the clinic. The purpose of this paper was ...

Artificial Neural Network Approach in Laboratory Test Reporting:  Learning Algorithms.

American journal of clinical pathology
OBJECTIVES: In the field of laboratory medicine, minimizing errors and establishing standardization is only possible by predefined processes. The aim of this study was to build an experimental decision algorithm model open to improvement that would e...

MSLVP: prediction of multiple subcellular localization of viral proteins using a support vector machine.

Molecular bioSystems
Knowledge of the subcellular location (SCL) of viral proteins in the host cell is important for understanding their function in depth. Therefore, we have developed "MSLVP", a two-tier prediction algorithm for predicting multiple SCLs of viral protein...

What time is it? Deep learning approaches for circadian rhythms.

Bioinformatics (Oxford, England)
MOTIVATION: Circadian rhythms date back to the origins of life, are found in virtually every species and every cell, and play fundamental roles in functions ranging from metabolism to cognition. Modern high-throughput technologies allow the measureme...