A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversion
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Revealing Biological Pathways Implicated in Lung Cancer from TCGA Gene Expression Data Using Gene Set Enrichment Analysis.Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.FGFR1 promotes the stem cell-like phenotype of FGFR1-amplified non-small cell lung cancer cells through the Hedgehog pathway.Revisit and compare Ma equivalence and Zhang equivalence of minimum velocity norm (MVN) type
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A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversion
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 18 December 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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A novel artificial neural netw ...... sed on matrix pseudo-inversion
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A novel artificial neural netw ...... ed on matrix pseudo-inversion.
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A novel artificial neural netw ...... sed on matrix pseudo-inversion
@en
A novel artificial neural netw ...... ed on matrix pseudo-inversion.
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A novel artificial neural netw ...... sed on matrix pseudo-inversion
@en
A novel artificial neural netw ...... ed on matrix pseudo-inversion.
@nl
P2860
P1476
A novel artificial neural netw ...... sed on matrix pseudo-inversion
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P2093
P2860
P304
P356
10.1016/J.JBI.2013.12.009
P577
2013-12-18T00:00:00Z