principle component analysis application in recognition of cellular resistance to cisplatin using ftir technology

artificial neuronal network application in recognition of cellular resistance to cisplatin using ftir technology

Cisplatin Resistant Patterns in Ovarian Cell Line Using FTIR and Principle Component Analysis

Cisplatin is a common chemotherapeutic agent that used for treatment of many solid cancers. Rapid identification of chemotherapy resistance is very important and may lead to effective treatment plan. Spectroscopy techniques, such as infrared spectroscopy, which are sensitive to biochemical composition of samples, have shown potentials to discriminate tissues. Developing in Fourier transform inf...

Cisplatin Resistant Patterns in Ovarian Cell Line Using FTIR and Principle Component Analysis

Cisplatin is a common chemotherapeutic agent that used for treatment of many solid cancers. Rapid identification of chemotherapy resistance is very important and may lead to effective treatment plan. Spectroscopy techniques, such as infrared spectroscopy, which are sensitive to biochemical composition of samples, have shown potentials to discriminate tissues. Developing in Fourier transform inf...

cisplatin resistant patterns in ovarian cell line using ftir and principle component analysis

cisplatin is a common chemotherapeutic agent that used for treatment of many solid cancers. rapid identification of chemotherapy resistance is very important and may lead to effective treatment plan. spectroscopy techniques, such as infrared spectroscopy, which are sensitive to biochemical composition of samples, have shown potentials to discriminate tissues. developing in fourier transform inf...

Cisplatin Resistant Patterns in Ovarian Cell Line Using FTIR and Principle Component Analysis

Cisplatin is a common chemotherapeutic agent that used for treatment of many solid cancers. Rapid identification of chemotherapy resistance is very important and may lead to effective treatment plan. Spectroscopy techniques, such as infrared spectroscopy, which are sensitive to biochemical composition of samples, have shown potentials to discriminate tissues. Developing in Fourier transform inf...

Face Recognition using Principle Component Analysis

The Principal Component Analysis (PCA) is one of the most successful techniques that have been used in image recognition and compression. PCA is a statistical method under the broad title of factor analysis. The purpose of PCA is to reduce the large dimensionality of the data space (observed variables) to the smaller intrinsic dimensionality of feature space (independent variables), which are n...