Understanding gene expression within the body has been a boon for 21st century biology and therapeutics, but most discoveries ...
Understanding gene expression within the body has been a boon for 21st century biology and therapeutics, but most discoveries that use these ...
Get our Editor-in-Chief Michelle Itano's BioTechniques Q1 2026 highlights, featuring an optimized Southern blot protocol and ...
Abstract: Computational Intelligence (CI) techniques are used in Microarray image processing which is useful for gene profiling in the medical field, drug discovery and industrial research. The paper ...
Abstract: Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of ...
Researchers at Cincinnati Children's Hospital Medical Center in collaboration with Roche, have developed a next-generation human liver organoid microarray platform that could help predict which drugs ...
ABSTRACT: Attrition is a common challenge in statistical analysis for longitudinal or multi-stage cross-sectional studies. While strategies to reduce attrition should ideally be implemented during the ...
Antimicrobial resistance (AMR) is recognized as one of the foremost global health challenges, complicating the treatment of infectious diseases and contributing to increased morbidity and mortality ...
ABSTRACT: Missing data presents a significant challenge in statistical analysis and machine learning, often resulting in biased outcomes and diminished efficiency. This comprehensive review ...
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