Abstract: This paper presents Fuzzy-Adaptive-Subspace-Iteration-based Two-way Clustering (FASIC) of microarray data for finding differentially expressed genes (DEGs) from two-sample microarray ...

Abstract: Spotted cDNA microarray data analysis suffers from various problems such as noise from a variety of sources, missing data, inconsistency, and, of course, the presence of outliers. This paper ...

Dublin, June 30, 2025 (GLOBE NEWSWIRE) -- The "Chromosomal Microarray Market Size, Share, Trends, Analysis, and Forecast 2025-2034 | Global Industry Growth, Competitive Landscape, Opportunities, and ...

The liver is capable of regeneration, regaining mass through compensatory hypertrophy even after resecting 70% of its mass. However, the underlying regenerative mechanism remains poorly understood.

ABSTRACT: Background: A major cause of cancer death worldwide is bladder cancer, which is the most common malignant tumor of the urinary tract. PAEP is a member of the kernel lipocalin superfamily ...

In the rapidly evolving landscape of data analysis, R programming has risen as a powerhouse, providing professionals with a versatile and potent tool to unlock the true potential of data. Whether ...

A deep learning approach utilizing clinical and molecular data for identifying prognostic biomarkers in patients treated with immune checkpoint inhibitors: An ORIEN pan-cancer study. This is an ASCO ...

Exploratory data analysis (EDA) is an approach to analyzing and summarizing data sets to gain insights into their key features and patterns. The primary goal of EDA is to understand the structure and ...

Exploratory Data Analysis (EDA) is a critical step in the data analysis process that involves thoroughly examining and understanding the characteristics of a dataset. It helps data analysts to gain ...

Cancer is one of the top causes of death globally. Recently, microarray gene expression data has been used to aid in cancer’s effective and early detection. The use of DNA microarray technology to ...