INTEGRATIVE ANALYSIS OF GENE EXPRESSION DATA INCLUDING AN ASSESSMENT OF PATHWAY ENRICHMENT FOR PREDICTING PROSTATE CANCER

Integrative Analysis of Gene Expression Data Including an Assessment of Pathway Enrichment for Predicting Prostate Cancer

Background: Microarray technology has been previously used to identify genes that are differentially expressed between tumour and normal samples in a single study, as well as in syntheses involving multiple studies.When integrating results from several Affymetrix microarray datasets, previous studies summarized probeset-level data, which may potent

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Review of the existing maximum residue levels for oxyfluorfen according to Article 12 of Regulation (EC) No 396/2005

Abstract According to Article 12 of Regulation (EC) No 396/2005, EFSA has reviewed the maximum residue levels (MRLs) currently established at European level for the pesticide active substance oxyfluorfen.To assess the occurrence of oxyfluorfen residues in plants, processed commodities, rotational crops and livestock, EFSA considered the conclusions

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Neonatal apnea and hypopnea prediction in infants with Robin sequence with neural additive models for time series.

Neonatal apneas and hypopneas present a serious risk for healthy infant development.Treating these adverse events requires frequent manual stimulation by skilled personnel, which can lead to alarm fatigue.This study aims to develop and validate an interpretable model that can predict apneas and hypopneas.Automatically predicting these adverse event

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Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling

The optimization of process parameters in powder Directed Energy Deposition (DED) is essential for achieving consistent, high-quality bead geometries, which directly influence the performance and structural integrity of fabricated components.As a subset of additive manufacturing (AM), the DED process, also referred to as laser metal deposition (LMD

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