Artificial neural network classifier predicts neuroblastoma patients' outcome
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BITS 2015: the annual meeting of the Italian Society of Bioinformatics.Immunohistochemical analysis of PDK1, PHD3 and HIF-1α expression defines the hypoxic status of neuroblastoma tumors.Cumulative Risk and Impact Modeling on Environmental Chemical and Social Stressors.Prognostic significance of microsatellite instability‑associated pathways and genes in gastric cancer.CHL1 gene acts as a tumor suppressor in human neuroblastoma.Hypoxia Modifies the Transcriptome of Human NK Cells, Modulates Their Immunoregulatory Profile, and Influences NK Cell Subset Migration
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Artificial neural network classifier predicts neuroblastoma patients' outcome
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Artificial neural network classifier predicts neuroblastoma patients' outcome
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Artificial neural network classifier predicts neuroblastoma patients' outcome
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Artificial neural network classifier predicts neuroblastoma patients' outcome
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Artificial neural network classifier predicts neuroblastoma patients' outcome
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Artificial neural network classifier predicts neuroblastoma patients' outcome
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Artificial neural network classifier predicts neuroblastoma patients' outcome
@en
P2093
P2860
P50
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Artificial neural network classifier predicts neuroblastoma patients' outcome
@en
P2093
Angela Rita Sementa
Luigi Varesio
Massimo Conte
Simone Pelassa
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P2888
P356
10.1186/S12859-016-1194-3
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P577
2016-11-08T00:00:00Z
P6179
1009534688