ROBUST AND CONSISTENT BIOMARKER CANDIDATES IDENTIFICATION BY A MACHINE LEARNING APPROACH APPLIED TO PANCREATIC DUCTAL ADENOCARCINOMA METASTASIS

Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis

Abstract Background Machine Learning (ML) plays a crucial role in biomedical research.Nevertheless, it still has limitations in data integration and irreproducibility.To address these challenges, robust methods are needed.Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive cancer with low early detection rates and survival rates, is used a

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Impact of COVID-19 on the Daily Returns of Istanbul Stock Exchange

The purpose of the article/hypothesis: The measures 2023 little mermaid cake taken by the governments to fight Covid-19 such as social distancing and lockdowns not only crippled the social life, but also the economies of their countries.The purpose of this paper is to analyze the impact of the Covid-19 pandemic on the Turkish economy.The authors us

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Feature Rescaling and Fusion for Tiny Object Detection

Recent years have witnessed rapid developments on computer vision, however, there are still challenges in detecting tiny objects in a large-scale background.The tiny objects knowledge become sparse and weak due to their hybrid willows for sale tiny size, which makes the tiny objects difficult to be detected with the common approaches.In this paper,

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