Artificial intelligence publications
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Regulatory Network Operations in the Pathway Tools Software
Pathway Tools provides a comprehensive environment for manipulating molecular regulatory interactions that integrates regulatory data with an organism’s genome and metabolic network.
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The 2012 SESAME Multimedia Event Detection (MED) and Multimedia Event Recounting (MER) Systems
The SESAME team submitted four runs for the MED12 pre-specified events, two runs for the ad hoc events, and a run for multimedia event recounting.
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A corpus of online discussions for research into linguistic memes
We describe a 460-million word corpus of online discussions.
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Construction and completion of flux balance models from pathway databases
We present a multiple gap-filling method to accelerate the development of FBA models using a new tool, called MetaFlux, based on mixed integer linear programming (MILP).
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Accurate Atom-Mapping Computation for Biochemical Reactions
We introduce a new method for computing atom mappings called the minimum weighted edit-distance (MWED) metric.
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The Use of Pattern Recognition Technology to Generate New Approaches to Prematurity Research
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Browsing Metabolic and Regulatory Networks with BioCyc
The BioCyc database collection at BioCyc.org integrates genome and cellular network information for more than 1,100 organisms.
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A Survey of Metabolic Databases Emphasizing the Metacyc Family
The main families are the MetaCyc, KEGG, Reactome, Model SEED, and BiGG families. We survey these database families, as well as important individual metabolic databases, including multiple human metabolic databases.
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Analysis and comparison of recent MLP features for LVCSR systems
This paper aims at providing a fair comparison of these recent progresses including the use of different long/short temporal inputs and the use of complex architectures that go beyond the…
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Efficient Methods for Lifted Inference with Aggregate Factors
We propose an exact solution constant in n when k = 2 for certain aggregate operations such as AND, OR and SUM, and (b) a close approximation for inference with aggregate factors with time…
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Discovering Novel Subsystems Using Comparative Genomics
We propose a novel method for the discovery of subsystems from annotated genomes.
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Cancer: a Computational Disease That AI Can Cure
We discuss these in the context of Cancer Commons, a “rapid learning” community where patients, physicians, and researchers collect and analyze the molecular and clinical data from every cancer patient,…