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 ...
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% ...
An international research team has succeeded in developing a new version of RNA building blocks with higher chemical reactivity and photosensitivity. This can significantly reduce the production time ...
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China Ebola virus infection causes severe hemorrhagic fever, and its mortality rates varied from 25 to 90% in the previous ...
1 Biostatistics and Computational Biology Branch, NIEHS, Research Triangle Park, Durham, NC, United States 2 Biomolecular Screening Branch, National Toxicology Program, NIEHS, Research Triangle Park, ...
ABSTRACT: One of the mostly used methods for estimating the false discovery rate (FDR) is the permutation based method. The permutation based method has the well-known granularity problem due to the ...
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