Given that each spectral line corresponds to a specific wavelength and energy, the researchers were able to determine the ...

Tumor samples clustering based on subspace segmentation is an effective method to discover cancer subtypes. Accurate and reliable identifications of cancer subtypes are crucial for understanding ...

In hyperspectral images (HSI), most feature extraction and data classification methods rely on corrected dataset, in which the noisy and water absorption bands are removed. This can result in not only ...

From the clustering analysis, knockout genes that lead to the flux data near that of drug-sensitive cells are considered drug sensitization targets. This computational approach is demonstrated using ...

1D CNN: Processes spectral information along the channel dimension 2D CNN: Captures spatial patterns within hyperspectral image patches 3D CNN: Jointly models both spatial and spectral information ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...