By LI XIAO-LI ET AL,Xiaoli Li,See-Kiong Ng,Jason T L Wang
Biologists are stepping up their efforts in knowing the organic approaches that underlie illness pathways within the scientific contexts. This has led to a flood of organic and medical info from genomic and protein sequences, DNA microarrays, protein interactions, biomedical pictures, to affliction pathways and digital health and wellbeing documents. to use those info for locating new wisdom that may be translated into scientific purposes, there are primary facts research problems that experience to be conquer. functional matters equivalent to dealing with noisy and incomplete info, processing compute-intensive projects, and integrating a variety of information resources, are new demanding situations confronted by means of biologists within the post-genome period. This booklet will hide the basics of cutting-edge facts mining strategies that have been designed to address such difficult info research difficulties, and reveal with actual functions how biologists and medical scientists can hire facts mining to allow them to make significant observations and discoveries from a big selection of heterogeneous facts from molecular biology to pharmaceutical and medical 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