P127
P170
Towards Robot Scientists for autonomous scientific discovery.Locational distribution of gene functional classes in Arabidopsis thalianaHomology induction: the use of machine learning to improve sequence similarity searchesCheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases.The automation of science.Functional genomic hypothesis generation and experimentation by a robot scientistFunctional expression of parasite drug targets and their human orthologs in yeastFurther developments towards a genome-scale metabolic model of yeastMachine learning approach for the prediction of protein secondary structure.Warmr: a data mining tool for chemical data.Confirmation of data mining based predictions of protein function.Using a logical model to predict the growth of yeast.Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programmingHierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato cropsOn the formalization and reuse of scientific research.An ontology for a Robot Scientist.The use of weighted graphs for large-scale genome analysis.A Tool for Multiple Targeted Genome Deletions that Is Precise, Scar-Free, and Suitable for AutomationYeast-based automated high-throughput screens to identify anti-parasitic lead compoundsRepresentation of probabilistic scientific knowledge.Representation, simulation, and hypothesis generation in graph and logical models of biological networks.An investigation into eukaryotic pseudouridine synthases.The EXACT description of biomedical protocols.An ontology of scientific experiments.Are the current ontologies in biology good ontologies?Enhancement of plant metabolite fingerprinting by machine learning.Merits of random forests emerge in evaluation of chemometric classifiers by external validation.Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA.Intelligent software for laboratory automation.Predicting gene function in Saccharomyces cerevisiae.Functional bioinformatics for Arabidopsis thaliana.On the use of qualitative reasoning to simulate and identify metabolic pathways.Statistical evaluation of the Predictive Toxicology Challenge 2000-2001.New approach to pharmacophore mapping and QSAR analysis using inductive logic programming. Application to thermolysin inhibitors and glycogen phosphorylase B inhibitors.On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: the need for machine learning.Plasmodium dihydrofolate reductase is a second enzyme target for the antimalarial action of triclosan.An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems.Finding motifs in protein secondary structure for use in function prediction.Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines.Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.
P50
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P50
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Professor an der Universität von Manchester
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Professor at the University of Manchester
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Ross D. King
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Ross D. King
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Ross D. King
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Ross King
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