Molecular cancer classification on microarrays gene expression data using waveletâbased deep convolutional neural network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22780
Abstract: Microarray data analysis is a most promising and difficult process due to the complex nature of data. It includes higher dimensionality, several unbalanced classes, a smaller sample size, the presence of noise, and a higher… read more here.
Keywords: cancer classification; classification; expression data; molecular cancer ... See more keywords
Molecular Cancer Imaging with Polymeric Nanoassemblies: From Tumor Detection to Theranostics.
Sign Up to like & getrecommendations! Published in 2017 at "Macromolecular bioscience"
DOI: 10.1002/mabi.201600305
Abstract: Several imaging modalities have been widely applied for the detection of cancer and its pathological activity in combination with probes capable of improving the contrast between healthy and cancerous tissues. Biocompatible polymeric nanoassemblies have been… read more here.
Keywords: polymeric nanoassemblies; detection; molecular cancer; cancer imaging ... See more keywords
Identifying and interpreting actionable molecular alterations from next-generation sequencing results in the community: A Sarah Cannon molecular cancer conference.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2018.36.15_suppl.6601
Abstract: 6601Background: Next-generation sequencing (NGS) data can often be difficult to interpret and act upon for treating medical oncologists. Sarah Cannon developed a Molecular Cancer Conference (MCC) i... read more here.
Keywords: cancer conference; sarah cannon; molecular cancer; next generation ... See more keywords