Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.
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Prediction of cancer proteins by integrating protein interaction, domain frequency, and domain interaction data using machine learning algorithms.Genetic differences among ethnic groups.Genomic Copy Number Variation Affecting Genes Involved in the Cell Cycle Pathway: Implications for Somatic Mosaicism.Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways.Downregulation of miR‑224‑5p in prostate cancer and its relevant molecular mechanism via TCGA, GEO database and in�silico analyses
P2860
Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.
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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 13 August 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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name
Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.
@en
Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.
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type
label
Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.
@en
Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.
@nl
prefLabel
Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.
@en
Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.
@nl
P2093
P2860
P921
P356
P1476
Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG
@en
P2093
P2860
P304
P356
10.1155/2013/304029
P407
P50
P577
2013-08-13T00:00:00Z