The development of methods that introduce spatiotemporal perturbations into developing, multi-cellular systems via soluble molecules has a long history [1] [4] and a rich, recent body of literature.
However, in genomic-enabled prediction (when p >> n), only the Bayesian probit model is frequently implemented, given that Bayesian methods that introduce sparseness through additional priors on the model size are very well-suited to this problem.
In this context, "ethics" indicates a method that introduces additional, exogenous, and stronger axioms concerning the comparison of utility streams.
This paper proposes an unsupervized offline video object segmentation method that introduces a number of improvements to existing work in the area.
Zhang et al. [29] proposed a Feature SIMilarity (FSIM) method that introduces phase congruency (PC) and gradient magnitude (GM) similarity as assessment features.
Seah et al. proposed a new transductive ordinal regression method that introduces the transductive approach into the general ordinal regression problem [24].
Here, we present a rapid efficient gene splicing and multi-sited mutagenesis method that introduces mutations at two distant sites via sequential connection of DNA fragments by one-step overlap extension polymerase chain reaction (OE PCR).
Therefore, we employed the advantages of PSO to improve the mutation mechanism and used a method that introduces chaotic mapping with certainty, ergodicity and the stochastic property into PSO to improve global convergence.
This method adopts a similar concept to Jaques et al. [17], while using a policy based RL method that introduces a novel cost function with the aim of addressing the need for handwritten rules and the issues of generating structures that are too simple.
The orthogonal reactivity, the production of a native peptide bond, and the high yield in an aqueous buffer at neutral pH and low temperature make EPL a powerful ligation method that introduces a synthetic peptide into recombinant proteins.
