Add to ORKGAbstract: Since the decoding of the Human Genome, techniques from bioinformatics, statistics, and machine learning have been instrumental in uncovering patterns in increasing amounts and types of different data produced by technical profiling technologies applied to clinical samples, animal models, and cellular systems. Yet, progress on unravelling biological mechanisms, causally driving diseases, has been limited, in part due to the inherent complexity of biological systems
Low sensitivity and specificity of current diagnostic methodologies lead to frequent misdiagnosis of...
This chapter reviews some exciting new techniques for analyzing brain imaging data. We describe com-...
A bioinformatics approach to behavioral neuroscience provides both unique opportunities and challeng...
Since the decoding of the Human Genome, techniques from bioinformatics, statistics, and machine lear...
Since the decoding of the Human Genome, techniques from bioinformatics, statistics, and machine lear...
© 2015 Wiley Periodicals, Inc.Data mining has been widely applied in biomarker discovery resulting i...
Identifying the mechanisms associated with complex human diseases is one of the main challenges of h...
A major milestone in modern biology was the complete sequencing of the human genome. But it produced...
This chapter reviews some exciting new techniques for analyzing brain imaging data. We describe comp...
Alzheimer's disease (AD) is the commonest progressive neurodegenerative condition in humans, and is ...
Neurodegenerative diseases are disorders in the central nervous system with consequent progressive n...
This thesis is about new and improved computational methods to analyze complex biological data produ...
Neuroinformatics seeks to create and maintain web-accessible databases of experimental and computati...
Publisher Copyright: © 2022 The Author(s). Published by IMR Press.Computational approaches to study ...
This thesis demonstrates the application of bioinformatics to investigate the mechanisms that are im...
Low sensitivity and specificity of current diagnostic methodologies lead to frequent misdiagnosis of...
This chapter reviews some exciting new techniques for analyzing brain imaging data. We describe com-...
A bioinformatics approach to behavioral neuroscience provides both unique opportunities and challeng...
Since the decoding of the Human Genome, techniques from bioinformatics, statistics, and machine lear...
Since the decoding of the Human Genome, techniques from bioinformatics, statistics, and machine lear...
© 2015 Wiley Periodicals, Inc.Data mining has been widely applied in biomarker discovery resulting i...
Identifying the mechanisms associated with complex human diseases is one of the main challenges of h...
A major milestone in modern biology was the complete sequencing of the human genome. But it produced...
This chapter reviews some exciting new techniques for analyzing brain imaging data. We describe comp...
Alzheimer's disease (AD) is the commonest progressive neurodegenerative condition in humans, and is ...
Neurodegenerative diseases are disorders in the central nervous system with consequent progressive n...
This thesis is about new and improved computational methods to analyze complex biological data produ...
Neuroinformatics seeks to create and maintain web-accessible databases of experimental and computati...
Publisher Copyright: © 2022 The Author(s). Published by IMR Press.Computational approaches to study ...
This thesis demonstrates the application of bioinformatics to investigate the mechanisms that are im...
Low sensitivity and specificity of current diagnostic methodologies lead to frequent misdiagnosis of...
This chapter reviews some exciting new techniques for analyzing brain imaging data. We describe com-...
A bioinformatics approach to behavioral neuroscience provides both unique opportunities and challeng...