AIMC Topic: Software

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FexRNA: Exploratory Data Analysis and Feature Selection of Non-Coding RNA.

IEEE/ACM transactions on computational biology and bioinformatics
Non-coding RNA (ncRNA) is involved in many biological processes and diseases in all species. Many ncRNA datasets exist that provide ncRNA data in FASTA format which is well suited for biomedical purposes. However, for ncRNA analysis and classificatio...

A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information.

IEEE/ACM transactions on computational biology and bioinformatics
Knowledge of protein functions plays an important role in biology and medicine. With the rapid development of high-throughput technologies, a huge number of proteins have been discovered. However, there are a great number of proteins without function...

SpinSPJ: a novel NMR scripting system to implement artificial intelligence and advanced applications.

BMC bioinformatics
BACKGROUND: Software for nuclear magnetic resonance (NMR) spectrometers offer general functionality of instrument control and data processing; these applications are often developed with non-scripting languages. NMR users need to flexibly integrate r...

IFACNN: efficient DDoS attack detection based on improved firefly algorithm to optimize convolutional neural networks.

Mathematical biosciences and engineering : MBE
Network security has become considerably essential because of the expansion of internet of things (IoT) devices. One of the greatest hazards of today's networks is distributed denial of service (DDoS) attacks, which could destroy critical network ser...

BreakNet: detecting deletions using long reads and a deep learning approach.

BMC bioinformatics
BACKGROUND: Structural variations (SVs) occupy a prominent position in human genetic diversity, and deletions form an important type of SV that has been suggested to be associated with genetic diseases. Although various deletion calling methods based...

Creating a training set for artificial intelligence from initial segmentations of airways.

European radiology experimental
Airways segmentation is important for research about pulmonary disease but require a large amount of time by trained specialists. We used an openly available software to improve airways segmentations obtained from an artificial intelligence (AI) tool...

Navigating the pitfalls of applying machine learning in genomics.

Nature reviews. Genetics
The scale of genetic, epigenomic, transcriptomic, cheminformatic and proteomic data available today, coupled with easy-to-use machine learning (ML) toolkits, has propelled the application of supervised learning in genomics research. However, the assu...

A comparative study of auto-contouring softwares in delineation of organs at risk in lung cancer and rectal cancer.

Scientific reports
Radiotherapy requires the target area and the organs at risk to be contoured on the CT image of the patient. During the process of organs-at-Risk (OAR) of the chest and abdomen, the doctor needs to contour at each CT image. The delineations of large ...

Terrain Adaptability and Optimum Contact Stiffness of Vibro-bot with Arrayed Soft Legs.

Soft robotics
The terrain adaptability of the state-of-the-art robot is far behind natural animals, partly because of limited sensing, intelligence, controlling, and actuating ability. One possible solution is to explore the flexible locomotion structure and locom...

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence.

Computational and mathematical methods in medicine
This paper conducts in-depth research and analysis on the construction of the public information product APP application platform of urban big media in the context of artificial intelligence and discusses its development. Based on the improvement of ...