Siciliano, "Learning in robotic manipulation: The role of dimensionality reduction in policy search methods. Com- ment on Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands by Marco Santello, Matteo Bianchi, Marco Gabiccini, ...
All these suggest that the efficiency of water oxidation/reduction process further improves in CdS as we reduce its dimensionality. More importantly, we report here that there are two factors, which makes CdS nanotube as a better photocatalyst material compared to its bulk counterpart. Furthermore,...
We evaluated potential gene–gene interactions using a multi-analytic strategy combining logistic regression, multi-factor dimensionality reduction, and cdoi:10.1002/mc.20688ClaudiaM.MonroyAndreaC.CortesMirthaS.LopezAnthonyWiley-BlackwellMolecular Carcinogenesis...
Synchronization of coupled oscillators is a fundamental process in both natural and artificial networks. While much work has investigated the asymptotic stability of the synchronous solution, the fundamental question of the transient behavior toward sync
(SOTs) on MIs are more intriguing than magnetic metals since SOTs cannot be transferred to MIs through direct injection of electron spins. Understanding of SOTs on MIs remains elusive, especially how SOTs scale with the MI film thickness. Here, we observe the critical role of dimensionality on ...
Compared with traditional dimensionality reduction methods such as PCA, tSNE and UMAP showed greater advantages in differentiating batch effects and identifying biological groups [22]. Thus we analyzed the datasets before and after the removal of the batch effects using tSNE and UMAP to verify whether...
As one of the most destructive and invasive cancers, pancreatic cancer exhibits complex tumor heterogeneity, which has been a major challenge for clinicians in terms of patient treatment and prognosis. The toll-like receptor (TLR) pathway is closely rela
bolster vector machineinstead of the established‘support vector machine’ dimensionality decreaseinstead of the established‘dimensionality reduction’ guileless Bayesinstead of the established‘naive Bayes’ gullible Bayesinstead of the established‘naive Bayes’ ...
Dimensionality reduction analysis of these annotated cells revealed distinct clusters representing malignant cancer cells and various non-malignant cell types within the NSCLC tissue microenvironment (Fig. 2A). Additionally, we visualized the origin of integrated single-cell data using dimensionality reduction...
We evaluated potential gene鈥揼ene interactions and the association of multiple polymorphisms in a chromosome region using a multi-analytic strategy combining logistic regression, multi-factor dimensionality reduction and classification and regression tree approaches. We observed that, in combination, allelic...