Literature DB >> 11457944

Genomic computing. Explanatory analysis of plant expression profiling data using machine learning.

D B Kell1, R M Darby, J Draper.   

Abstract

Mesh：

Year:  2001        PMID： 11457944      PMCID： PMC1540126          DOI： 10.1104/pp.126.3.943

Source DB:  PubMed          Journal:  Plant Physiol        ISSN： 0032-0889            Impact factor:   8.340


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  12 in total

1.  Rapid and quantitative detection of the microbial spoilage of meat by fourier transform infrared spectroscopy and machine learning.

Authors:  David I Ellis; David Broadhurst; Douglas B Kell; Jem J Rowland; Royston Goodacre
Journal:  Appl Environ Microbiol       Date:  2002-06       Impact factor: 4.792

2.  Predicting interpretability of metabolome models based on behavior, putative identity, and biological relevance of explanatory signals.

Authors:  David P Enot; Manfred Beckmann; David Overy; John Draper
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-21       Impact factor: 11.205

3.  Metabolomics and machine learning: explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules.

Authors:  Douglas B Kell
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

4.  Neural network analyses of infrared spectra for classifying cell wall architectures.

Authors:  Maureen C McCann; Marianne Defernez; Breeanna R Urbanowicz; Jagdish C Tewari; Tiffany Langewisch; Anna Olek; Brian Wells; Reginald H Wilson; Nicholas C Carpita
Journal:  Plant Physiol       Date:  2007-01-12       Impact factor: 8.340

5.  Ensemble machine learning modeling for the prediction of artemisinin resistance in malaria.

Authors:  Colby T Ford; Daniel Janies
Journal:  F1000Res       Date:  2020-01-29

6.  Functional network construction in Arabidopsis using rule-based machine learning on large-scale data sets.

Authors:  George W Bassel; Enrico Glaab; Julietta Marquez; Michael J Holdsworth; Jaume Bacardit
Journal:  Plant Cell       Date:  2011-09-06       Impact factor: 11.277

Review 7.  Towards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson's, Huntington's, Alzheimer's, prions, bactericides, chemical toxicology and others as examples.

Authors:  Douglas B Kell
Journal:  Arch Toxicol       Date:  2010-08-17       Impact factor: 5.153

8.  Discrimination of modes of action of antifungal substances by use of metabolic footprinting.

Authors:  Jess Allen; Hazel M Davey; David Broadhurst; Jem J Rowland; Stephen G Oliver; Douglas B Kell
Journal:  Appl Environ Microbiol       Date:  2004-10       Impact factor: 4.792

9.  Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops.

Authors:  Gareth S Catchpole; Manfred Beckmann; David P Enot; Madhav Mondhe; Britta Zywicki; Janet Taylor; Nigel Hardy; Aileen Smith; Ross D King; Douglas B Kell; Oliver Fiehn; John Draper
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-26       Impact factor: 11.205

10.  Data processing and classification analysis of proteomic changes: a case study of oil pollution in the mussel, Mytilus edulis.

Authors:  Tiphaine Monsinjon; Odd Ketil Andersen; François Leboulenger; Thomas Knigge
Journal:  Proteome Sci       Date:  2006-09-13       Impact factor: 2.480
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