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Data Analysis

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Applications of Natural Language Processing for Automated Clinical Data Analysis in Orthopaedics.

The Journal of the American Academy of Orthopaedic Surgeons
Natural language processing is an exciting and emerging field in health care that can transform the field of orthopaedics. It can aid in the process of automated clinical data analysis, changing the way we extract data for various purposes including ...

Self-supervised deep learning of gene-gene interactions for improved gene expression recovery.

Briefings in bioinformatics
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool to gain biological insights at the cellular level. However, due to technical limitations of the existing sequencing technologies, low gene expression values are often omitted, lead...

Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis.

GigaScience
BACKGROUND: Machine learning (ML) has emerged as a vital asset for researchers to analyze and extract valuable information from complex datasets. However, developing an effective and robust ML pipeline can present a real challenge, demanding consider...

[Experience of Data Analysis application for proceeding research data in solving the problem of target age group establishment].

Sudebno-meditsinskaia ekspertiza
The article presents the experience of artificial intelligence application in research process. The article contains general information about basic concepts of machine learning (clustering and visualization), as well as considers more detaily an exp...

STAMarker: determining spatial domain-specific variable genes with saliency maps in deep learning.

Nucleic acids research
Spatial transcriptomics characterizes gene expression profiles while retaining the information of the spatial context, providing an unprecedented opportunity to understand cellular systems. One of the essential tasks in such data analysis is to deter...

Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models.

Briefings in bioinformatics
Protein engineering is an emerging field in biotechnology that has the potential to revolutionize various areas, such as antibody design, drug discovery, food security, ecology, and more. However, the mutational space involved is too vast to be handl...

A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis.

Mathematical biosciences and engineering : MBE
Biomedical data analysis is essential in current diagnosis, treatment, and patient condition monitoring. The large volumes of data that characterize this area require simple but accurate and fast methods of intellectual analysis to improve the level ...