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 ...

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 ...

ABSTRACT: Missing data presents a significant challenge in statistical analysis and machine learning, often resulting in biased outcomes and diminished efficiency. This comprehensive review ...

As per precedence Research, the global DNA microarray market size is projected to grow approximately USD 6.13 billion by 2034 from valued at USD 2.28 billion in 2023. It is expanding at a CAGR of 9.4% ...

Background Microarray patches (MAPs) deliver vaccines to the epidermis and the upper dermis, where abundant immune cells reside. There are several potential benefits to using MAPs, including reduced ...

About 35 minutes into the London Marathon, I found myself in a good running groove. My legs felt strong, my stride relaxed, and my breathing easy. I can do this! I told myself. I was relieved to find ...

Curious about how to detect and characterize tumor-derived biomarkers from liquid biopsy samples? Genomics-based methods now provide access to more molecular data than ever before, delivering cancer ...

Infectious lower respiratory diseases and diarrheal diseases are top causes of deaths worldwide, accounting for 4.1 million deaths in 2019. The current COVID-19 pandemic is yet another reminder about ...

Tissue microarrays (TMAs) have been used in thousands of cancer biomarker studies. To what extent batch effects, measurement error in biomarker levels between slides ...