BIOGEOCHEMICAL MODEL OPTIMIZATION BY USING SATELLITE-DERIVED PHYTOPLANKTON FUNCTIONAL TYPE DATA AND BGC-ARGO OBSERVATIONS IN THE NORTHERN SOUTH CHINA SEA

Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea

Marine biogeochemical models have been widely used to understand ecosystem dynamics and biogeochemical cycles.To resolve more processes, models typically increase in complexity, and require optimization of more parameters.Data assimilation is an essential tool for parameter optimization, which can reduce model uncertainty and improve model predicta

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Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning

Abstract Background Cancer molecular subtyping plays a critical role in individualized patient treatment.In previous studies, high-throughput gene expression signature-based methods have been proposed to identify cancer subtypes.Unfortunately, the existing ones suffer from the curse of dimensionality, data sparsity, and computational deficiency.Met

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Esthesioneuroblastoma in a boy with 47, XYY karyotype

Neuroblastomas are sometimes associated with abnormal constitutional karyotypes, but the XYY karyotype has been rarely described in neuroblastomas.Here, we report a case of an esthesioneuroblastoma in a boy with a 47, XYY karyotype.A 6-year-old boy was admitted to our hospital because of nasal obstruction HAIR MASK and palpable cervical lymph node,

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