Machine learning-based identification of a consensus immune-derived gene signature to improve head and neck squamous cell carcinoma therapy and outcomedoi:10.3389/fphar.2024.1341346NECKSQUAMOUS cell carcinomaPARTIAL least squares regressionCELLULAR therapy...
A machine learning-based integrative framework was implemented for constructing a consensus RNA modification-based signature. Most RNA modifiers were dysregulated in bladder tumours at the multi-omics levels. Two RNA modification clusters were identified, with diverse prognostic o...
A diagnostic miRNA signature for pulmonary arterial hypertension using a consensus machine learning approachBiomarkersMachine learningMicroRNAPAHPulmonary arterial hypertension (PAH) is a rare but life shortening disease, the diagnosis of which is often delayed, and requires an invasive right heart ...
Statistics and machine learning techniques have been broadly investigated for biomarker identification, especially feature selection where researchers try to identify the most distinguishing genes that can achieve better predictive performance of cancer subtypes. The robustness of the selected signature remains ...
In order to improve security and eliminate the impact of mobile interruption, Mir adopts a client-side signature and verification mechanism, which increases the latency and is also one of the limitations of the algorithm. However, in order to reduce the impact of this limitation, Mir uses a ...
Consensus exploits the same idea as in ensemble learning, but from a classical algorithmic approach rather than a machine learning approach. Ensemble learning uses the combination of multiple classifiers with the same objective and, therefore, is more robust than individual algorithms in detecting ...