Physics of Life ReviewsFicuciello F, Siciliano B. Learning in robotic manipulation: the role of dimensionality reduction in policy search methods: comment on: "Hand synergies: integration of robotics and neuroscience for understanding the control of biological and artificial hands" by M. Santello et...
The present manuscript has two main objectives: firstly, to understand the role of dimensionality in determin- ing the dynamical properties of neuronal networks, and secondly, to make progress towards the repair of lesions in the nervous system. Therefore, we used 3D graphene foam (3D-GF) ...
(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 ...
Myoglobin-facilitated oxygen diffusion, perhaps by virtue of reduction of dimensionality of diffusion from three dimensions towards two dimensions in the narrow... Wittenberg,B J. - 《Journal of Experimental Biology》 被引量: 765发表: 2003年 Myoglobin: an essential hemoprotein in striated muscle Myo...
such as single cell transcriptomics and can be used for dimensionality reduction or trajectory inference analysis (Fig.2). Hence, the term of pathomics has been proposed to characterize the data mining of histopathology images [14,32,42,45]. Pathomics enables precise characterization of whole tiss...
A. Determination of beta2-adrenergic receptor (ADRB2) haplo- types by a multiplexed polymerase chain reaction assay // Hum. Mutat.–2002.–20, N 6.–P. 479. 31. Moore J. H. Computational analysis of gene-gene interacti- ons using multifactor dimensionality reduction // Expert Rev. Mol...
Hence, AEs can be used as an effective means of dimensionality reduction for industrial process data (Zhu et al., 2021a). A suitable regression algorithm can then be used to map the latent space to the output space to make accurate predictions. More advanced variants of the conventional AE ...
The main features of the complexes are found and then the prediction is performed via several state-of-the-art classification techniques, including linear dimensionality reduction (LDR), support vector machine (SVM), naive Bayes (NB) and k-nearest neighbor (k-NN). For an in-depth analysis of...
Subsequently, the dimensionality of the job satisfaction variables was reduced. First, exploratory factor analysis (EFA) was carried out to explore the constructure of job satisfaction. The Kaiser–Meyer–Olkin (KMO) value was 0.80, and Bartlett’s sphericity test was significant; the cumulative ...
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...