This repository contains a modular, reproducible pipeline for predicting cell cycle phases (G1, S, G2M) from single-cell RNA-seq data using deep learning and traditional machine learning models.
Discover how everyday items are transformed into a stunning piece of wearable art in this in-depth DIY ring tutorial. Watch as a 50 Euro cent coin is skillfully shaped, sanded, and polished into a ...
The cell cycle is a fundamental process vital for organismal growth and stability. Its dysregulation underlies many human diseases, in particular cancers, making its monitoring essential in biological ...
Back in 2019, a consortium of scientists predicted August 2025 as the peak of the solar activity cycle. But where are we now? When you purchase through links on our site, we may earn an affiliate ...
The review emphasizes how breakthroughs in understanding the molecular mechanisms of cell cycle regulation have paved the way for the development of targeted anti-cancer agents. Notably, inhibitors of ...
Abstract: We investigate the feasibility of deriving surrogate ordinary differential equations (ODEs) from individual-based models (IBMs) simulated in the PhysiCell platform. As a preliminary ...
The ability of mutations to cause cancer depends on how fast they force cells to divide, Sinai Health researchers have found. The study, led by Dr. Rod Bremner, a Senior Investigator at the ...
Background: Fine particulate matter (PM2.5) exposure has been associated with adverse effects on reproduction, yet the underlying cellular mechanisms remain poorly understood. Methods: Using ...
State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China School of Applied Chemistry and Engineering, ...
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