We have developed a non-primate-based lentiviral vector based on the equine infectious anemia virus (EIAV) for efficient gene transfer to the central and peripheral nervous systems.
We also constructed an all-in-one CRISPR-Cas9 vector based on the previously reported system20 (Supplementary Fig. 14b).
In this paper, we describe a newly engineered RNA-based rabies virus glycoprotein (RVGP) expression vector based on the Semliki Forest Virus (SFV) system.
To address these issues, in this work, we propose a novel neural network-based approach to compute the embedding, i.e., a numeric vector, based on the control flow graph of each binary function, then the similarity detection can be done efficiently by measuring the distance between the embedding for two functions.
To avoid this problem, we have developed a transgenic RNA interference vector based on the phiC31 site-specific integration method.
Then, we compute the knot vector based on the parametric values of the data points.
In this study, we develop a novel fault feature vector based on the dependence.
Here, we report the design and generation of a new oncolytic vector based on the vaccinia virus Western Reserve WRR) strain.
Eleven stable motions of LB with the developed feature vector based on the 3-D coordinates of head, left and right feet are classified by the proposed modified multi-class support vector machine (MMSVM).
A coronavirus vector based on the genome of the porcine transmissible gastroenteritis virus (TGEV) expressing the rotavirus VP7 protein was constructed to immunize and protect against rotavirus infections in a murine model.
In HPVM, a monotonicity analysis is conducted for the frequency response vector based on the random interval matrix perturbation method; and then the intervals of expectation and variance of the frequency response vector are calculated by employing the random interval moment method and the vertex method.
