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Breaking the code in network theory: Bimodularity reveals direction of influence in complex systems
As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...
WTCCC comparative analysis To study batch variability in calling algorithms with the WTCCC data, for each genotype calling algorithm (BRLMM, CRLMM and CHIAMO), the 1991 CEL files obtained from the ...
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
An algorithm is proposed for performing harmonic analysis of tonal music. The algorithm begins with a representation of a piece as pitches and durations; it generates a representation in which the ...
Morphological data play a key role in the inference of biological relationships and evolutionary history and are essential for the interpretation of the fossil record. The hierarchical interdependence ...
ZAC brain-inspired Concept Learning algorithms can understand, analyze, and handle complex, unexpected, or rare situations/events, which is a fundamental pre-requisite for Situational Awareness ...
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