Applications of statistical and machine learning methods in bioinformatics advances in computational and systems biology 9780820487939 medicine health science books amazoncom. Other systems biology applications of machine learning include the task of enzyme function prediction high throughput microarray data analysis analysis of genome wide association studies to better understand markers of multiple sclerosis protein function prediction and identification of ncr sensitivity of genes in yeast. As part of the launch of the journal section machine learning and artificial intelligence in bioinformatics bmc bioinformatics is excited to announce that we are now accepting manuscripts for the thematic series machine learning for computational and systems biology the purpose of this thematic series is to bring together latest advances in machine learning and artificial intelligence . Modern advances in biomedical imaging systems biology and multi scale computational biology combined with the explosive growth of next generation sequencing data and their analysis using bioinformatics provide clinicians and life scientists with a dizzying array of information on which to base their decisions due to this large data availability machine learning and more generally . Prof carlos pena reyes computational intelligence for computational biology heig vd sib swiss institute of bioinformatics yverdon switzerland day 5 machine learning and metagenomics to study microbial communities dr luis pedro coelho european molecular biology laboratory embl heidelberg germany
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