Relationship Identification & Prediction of Diseases Association Using Micro-RNA of Genomic Data

Abstract

The current process of finding the relationship between the father and the son
and also predicting the diseases that is yet to occur is quite inaccurate because it includes
only the gene-id of the respected person. In order to handle or to make this system more
accurate, we propose this system by using the chromosome structure of the person. This
system takes the input of the chromosome structure of the son that has been partitioned
from the father’s chromosome structure. It initially preprocesses the image of the son using
the collaborative filtering for making it look different from the input image to show the
similarity between the father and the son. It then detects the edge of the structure after
preprocessing it using the SOBEL edge detection algorithm. The SOBEL edge detection
algorithm is that the gradient of the image is calculated for each pixel position in the image.
After detecting the edges of those input images, matching process starts between the input
image and the list of father chromosome images. Then the matched output appears. In
order to predict the diseases which is yet to come in future for the son is represented
graphically by dividing it into three colors, firstly green represents there is less possibility
of the son getting the disease, secondly yellow represents there may be any chance of son
getting the disease and finally red represents there is high possibility of son getting the
disease.