Data Driven Data Mining Model for Biological Pathways N.Sevugapandi1 and Dr.C.P.Chandran2

Abstract: Advancement in biological data capturing devices such as microarray devices, sequence analyzer helps biologist to systematically monitor cell growth and diseases by elucidating molecular data with genomics, proteomics etc. However making use of these Bio datas is a challenging task to experimentally conclude with any growth in cell or diseases. Data mining techniques in Computing helps algorithmically to solve the above stated problem. Here we propose a new model to store the micro array device data in systematical organization in the perception of computer science. The data mining model addresses data driven knowledge discovery process along with the use of the expression of gene profiles in the context to biological pathway. Here data mining process helps to identify the significant pattern from the consolidated RAW pattern acquired from the RAW data generated by microarray devices. The proposed data mining model can help clinicians to easily identify the cell growth or diseases in early stages with the handy reference to the early stage detection in case of any hazardous tissue growth