Title :
A linear classification approach to model the early cellular responses induced by drugs
Author :
Dechang Xu ; Zhiying Liang ; Dayou Cheng ; Cuihong Dai ; Aiju Hou ; Liqiang Pan ; Jianzhong Li
Author_Institution :
Sch. of Food Sci. & Eng., Harbin Inst. of Technol., Harbin, China
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.
Keywords :
biomedical optical imaging; cellular biophysics; drugs; fluorescence; image classification; learning (artificial intelligence); medical image processing; patient treatment; proteins; Accuracy; F-Score; Precision; Recall; bioimaging; drug treatment doses; early cellular responses; image-set data; linear classification approach; machine learning; medical applications; protein subcellular translocation pattern; single-channel protein subcellular location fluorescence images; Accuracy; Bioinformatics; Conferences; Digital audio players; Drugs; Protein engineering; Proteins; SIFT-SVM; linear classification; protein sub-cellular translocation;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999397
