Abstract
To quantitatively discover the protein sub-cellular translocation pattern which responds to drugs' treatment doses is a challenge for medical applications with bio-imaging and machine learning on the Single-channel Protein Sub-cellular Location Fluorescence Images without segmentation. This paper suggested a Linear Classification Approach to model the Early Cellular Responses Induced by Drugs. Based on published image-set data, our methods' Accuracy, Precision, Recall and F-Score will be more than 0.70, 0.71, 0.65 and 0.71 respectively.