Abstract
Diagnosis of gum cancer cells from DNA/RNA using database mining and support vector regression through high resolution 4D HPCH experiment for sequential assignment of 13C–labeled DNAs/RNAs in gum cancer cells
Highlights
Diagnosis of gum cancer cells from DNA/RNA using database mining and support vector regression through high resolution 4D HPCH experiment for sequential assignment of 13C–labeled DNAs/ RNAs in gum cancer cells is increasingly investigated for gum cancer diagnosis
The recent progress of the technique toward clinical gum cancer diagnosis is discussed from a critical perspective
There are a large number of diagnosis of gum cancer cells from DNA/RNA using database mining and support vector regression through high resolution 4D HPCH experiment for sequential assignment of 13C–labeled DNAs/RNAs in gum cancer cells active molecules in gum cancer tissue, and their spectral signatures are sharp and well delineated
Summary
Diagnosis of gum cancer cells from DNA/RNA using database mining and support vector regression through high resolution 4D HPCH experiment for sequential assignment of 13C–labeled DNAs/ RNAs in gum cancer cells is increasingly investigated for gum cancer diagnosis. Diagnosis of gum cancer cells from DNA/RNA using database mining and support vector regression through high resolution 4D HPCH experiment for sequential assignment of 13C–labeled DNAs/RNAs in gum cancer cells can provide detailed chemical information about a tissue sample and insight into the chemical changes that accompany gum cancer disease.
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