According to Nova One Advisor, the global genomics data analysis market size is calculated at USD 7.91 billion in 2025 and is ...
Abstract: Microarray data play a huge role in recognizing a proper cancer diagnosis and classification. In most microarray data set consist of thousands of genes, but the majority number of genes are ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Amorphous solid dispersions (ASDs) offer a well-recognized strategy to improve the ...
Abstract: In machine learning and data mining, feature selection aims to seek a compact and discriminant feature subset from the original feature space. It is usually used as a preprocessing step to ...
One case where OOP has succeeded in R or, at least, is more used than in others is in the Bioconductor Project (bioconductor.org). In Bioconductor we have to deal with complex data structures such as ...
Theratechnologies Inc. study demonstrating high expression of sortilin 1 (SORT1) in several solid tumors when compared to normal tissues, to be presented as a poster at the 34th European Organisation ...
I'm trying to download the microarray data using files = abagen.fetch_microarray(donors='all') but it is throwing an error I haven't been able to resolve. I think the ...
The present study was performed to explore the underlying molecular mechanisms and screen hub genes of osteoarthritis (OA) via bioinformatics analysis. In total, twenty-five OA synovial tissue samples ...
A Machine Learning Method to Trace Cancer Primary Lesion Using Microarray-Based Gene Expression Data
Cancer of unknown primary site (CUP) is a heterogeneous group of cancers whose tissue of origin remains unknown after detailed investigation by conventional clinical methods. The number of CUP ...
After the sequencing of citrus genomes, gene function annotation is becoming a new challenge. Gene coexpression analysis can be employed for function annotation using publicly available microarray ...
Hybrid PET-MRI of the breast: A promising tool for the characterization of breast tumors. This is an ASCO Meeting Abstract from the 2012 ASCO Annual Meeting I. This abstract does not include a full ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results