AIMC Topic: Reproducibility of Results

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Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.

Briefings in bioinformatics
Protein lysine crotonylation (Kcr) is an important type of posttranslational modification that is associated with a wide range of biological processes. The identification of Kcr sites is critical to better understanding their functional mechanisms. H...

Accelerating the discovery of antifungal peptides using deep temporal convolutional networks.

Briefings in bioinformatics
The application of machine intelligence in biological sciences has led to the development of several automated tools, thus enabling rapid drug discovery. Adding to this development is the ongoing COVID-19 pandemic, due to which researchers working in...

Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning.

Briefings in bioinformatics
Accurate prediction of atomic partial charges with high-level quantum mechanics (QM) methods suffers from high computational cost. Numerous feature-engineered machine learning (ML)-based predictors with favorable computability and reliability have be...

[Artificial intelligence-based fluorescence method versus traditional flow cytometry in detection of sperm DNA fragmentation index].

Zhonghua nan ke xue = National journal of andrology
OBJECTIVE: To compare the result of the artificial intelligence (AI) recognition-based fluorescence method and that of traditional flow cytometry in the examination of the sperm DNA fragmentation index (DFI) and assess the reliability of the AI-based...

Using Deep Learning Segmentation for Endotracheal Tube Position Assessment.

Journal of thoracic imaging
PURPOSE: The purpose of this study was to determine the efficacy of using deep learning segmentation for endotracheal tube (ETT) position on frontal chest x-rays (CXRs).

Deeplasmid: deep learning accurately separates plasmids from bacterial chromosomes.

Nucleic acids research
Plasmids are mobile genetic elements that play a key role in microbial ecology and evolution by mediating horizontal transfer of important genes, such as antimicrobial resistance genes. Many microbial genomes have been sequenced by short read sequenc...

AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system.

Mathematical biosciences and engineering : MBE
Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the Internet of Things (IoT) enabled wearable healthcare devices. Due to the miniature size and ability of wireless data transfer, Body Sensor Networks (B...

Deep graph representations embed network information for robust disease marker identification.

Bioinformatics (Oxford, England)
MOTIVATION: Accurate disease diagnosis and prognosis based on omics data rely on the effective identification of robust prognostic and diagnostic markers that reflect the states of the biological processes underlying the disease pathogenesis and prog...