By LI XIAO-LI ET AL,Xiaoli Li,See-Kiong Ng,Jason T L Wang
Biologists are stepping up their efforts in realizing the organic strategies that underlie affliction pathways within the medical contexts. This has led to a flood of organic and scientific info from genomic and protein sequences, DNA microarrays, protein interactions, biomedical photos, to illness pathways and digital health and wellbeing documents. to use those info for locating new wisdom that may be translated into medical purposes, there are basic facts research problems that experience to be conquer. functional matters resembling dealing with noisy and incomplete info, processing compute-intensive initiatives, and integrating a variety of information resources, are new demanding situations confronted through biologists within the post-genome period. This publication will disguise the basics of cutting-edge info mining innovations which were designed to address such demanding information research difficulties, and reveal with actual functions how biologists and scientific scientists can hire information mining to allow them to make significant observations and discoveries from a big selection of heterogeneous facts from molecular biology to pharmaceutical and scientific domains.
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Extra info for Biological Data Mining and Its Applications in Healthcare (Science, Engineering, and Biology Informatics)
Biological Data Mining and Its Applications in Healthcare (Science, Engineering, and Biology Informatics) by LI XIAO-LI ET AL,Xiaoli Li,See-Kiong Ng,Jason T L Wang