INTEGRATIVE ANALYSIS OF MACHINE LEARNING AND MOLECULE DOCKING SIMULATIONS FOR ISCHEMIC STROKE DIAGNOSIS AND THERAPY

Integrative Analysis of Machine Learning and Molecule Docking Simulations for Ischemic Stroke Diagnosis and Therapy

Due to the narrow therapeutic window and high mortality of ischemic stroke, it is of great significance to investigate its diagnosis and therapy.We employed weighted gene coexpression network analysis (WGCNA) to ascertain gene modules related to stroke and used the maSigPro equi-jec 6 R package to seek the time-dependent genes in the progression of

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Tracing the technological trajectory of coal slurry pipeline transportation technology: An HMM-based topic modeling approach

Coal slurry pipeline transportation is an important way to realize green coal logistics.However, there are still challenges in understanding the cognitive aspects of coal slurry pipeline transportation technology development trajectory.This study attempts to trace and predict the technology trend from patent texts through the stochastic process ana

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ASCL1 is activated downstream of the ROR2/CREB signaling pathway to support lineage plasticity in prostate cancer

Summary: Lineage plasticity is a form of therapy-induced drug resistance.In prostate cancer, androgen receptor (AR) pathway inhibitors potentially lead to the accretion of tumor relapse with loss of AR signaling and a shift from a luminal state to an alternate program.However, the molecular and signaling mechanisms orchestrating the development of

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Impact of land-use change on ecological vulnerability in the Yellow River Basin based on a complex network model

The Yellow River Basin in China, which is characterized by significant soil erosion and arid to semi-arid conditions, has experienced severe ecological issues due to prolonged excessive development and land-use changes.Studies on ecosystem vulnerability have become a major basis for supporting the sustainable and healthy development of watershed ec

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