AIMC Topic: Deep Learning

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A novel sequence alignment algorithm based on deep learning of the protein folding code.

Bioinformatics (Oxford, England)
MOTIVATION: From evolutionary interference, function annotation to structural prediction, protein sequence comparison has provided crucial biological insights. While many sequence alignment algorithms have been developed, existing approaches often ca...

Increasing metadata coverage of SRA BioSample entries using deep learning-based named entity recognition.

Database : the journal of biological databases and curation
High-quality metadata annotations for data hosted in large public repositories are essential for research reproducibility and for conducting fast, powerful and scalable meta-analyses. Currently, a majority of sequencing samples in the National Center...

Predicting the conformations of the silk protein through deep learning.

The Analyst
As with other proteins, the conformation of the silk protein is critical for determining the mechanical, optical and biological performance of materials. However, an efficient, accurate and time-efficient method for evaluating the protein conformatio...

Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.

Medicine
Along with recent developments in deep learning techniques, computer-aided diagnosis (CAD) has been growing rapidly in the medical imaging field. In this work, we evaluate the deep learning-based CAD algorithm (DCAD) for detecting and localizing 3 ma...

VIDHOP, viral host prediction with deep learning.

Bioinformatics (Oxford, England)
MOTIVATION: Zoonosis, the natural transmission of infections from animals to humans, is a far-reaching global problem. The recent outbreaks of Zikavirus, Ebolavirus and Coronavirus are examples of viral zoonosis, which occur more frequently due to gl...

Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma.

The Journal of clinical investigation
BACKGROUNDPatients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) are potentially cured with definitive treatment. However, there are currently no reliable biomarkers of treatment failure for p16+ OPSCC. Pathologist-based visual assessment o...

[Intelligent prediction of HER2 status based on breast histopathology].

Zhonghua bing li xue za zhi = Chinese journal of pathology
To study the association between histopathological features and HER2 overexpression/amplification in breast cancers using deep learning algorithms. A total of 345 HE-stained slides of breast cancer from 2012 to 2018 were collected at the China-Japa...