In the research process, we combined elements of the techniques listed in [11]: specialization (the existing general method is modified to better solve specific cases) and transgranularization (the algorithm is
Cells and tissues have a remarkable ability to adapt to genetic perturbations via a variety of molecular mechanisms. Nonsense-induced transcriptional compensation, a form of transcriptional adaptation, has recently emerged as one such mechanism, in which nonsense mutations in a gene trigger upregulation...
barcode of the containing cells and the background barcode according to an algorithm that extracts real single-cell data [27]. This process yields a gene expression matrix for each cell type. Furthermore, cell clustering and data normalization can be performed using various algorithms. Common dimen...
The droplet-based platform (10x Genomics BD) is the most commonly used scRNA-seq platform in the field of CAR T-cells. Using a microfluidic chamber, the droplet-based method can separate individual cells into an oil-based microdroplet. A single droplet contains gel microbeads with mRNA-capturin...
Algorithms such as ID3 [41] or C4.5 [42] are widely used to build decision trees. Also, scikit-learn uses the optimized version of Classification and Regression Tree (CART) [43], which is based on C4.5, as its default algorithm to build decision trees for classification. Random forest ...
In the context of post-traumatic hand rehabilitation, stiffness of the hand joints limits the range of motion (ROM), grip strength, and the possibility of performing simple grasps. Robotic rehabilitation has been widely adopted for hand treatment with ne
the tree. Subsequent algorithms such as ID3[24] and C4.5[20] make use of information-theory based functions for partitioning nodes in purer subsets. Finally, dealing withmissing valuesis also a major design issue one has to face when developing a new decision-tree induction algorithm. ...
Once an ML model has been built and the ground truth has been ascertained, it is crucial to gauge the performance of the ML model that will describe, predict, or evaluate outcomes. However, it is important to realize that there is no way to distinguish a learning algorithm as the “best...
We first provide an overview of the entire system in Section 4. The design of ABAC using homomorphic encryption is presented in Section 5. In Section 6, we introduce the concepts of kABAC and -Anonymous Quantization. We also describe a greedy algorithm to realize kAQ and show a secure ...
[17] proposed a circuit model that uses a coupled inductance circuit to achieve the simultaneous transmission of short-range wireless information and energy, and applied the water injection algorithm to the SWIPT system to achieve the optimal distribution of Energies 2021, 14, 4918. https://doi....