Related efforts (employing dual-stage methods) have addressed variants on designs using PZT elements, voice coils, or linear motors.
Although various copolymerization methods have addressed needs of different applications, release of acidic degradation products, processing difficulties and limited range of mechanical properties remains as major disadvantages of this family of polymers.
Few methods have addressed the design issue so far.
From our knowledge, no existing MNase-Seq methods have addressed this issue.
Several previous methods have addressed the use of gene expression data in order to predict changes in metabolite abundance.
Recently, two comparative studies of primary 2D and primary 3D review methods have addressed the merit of both techniques [ 11, 12].
A significant number of methods have addressed the clustering of protein sequences and most of them can be categorized in three major groups: hierarchical, graph-based and partitioning methods.
Text analysis methods have addressed the study of FDA package inserts in the SIDER database [ 17] to identify side effects, for the comparison of word utilization between drug and disease-related abstracts [ 18, 19], and for the analysis of similarity between gene ontology process annotations assigned to a known drug target and genes in disease-associated pathways.
Many other methods have addressed somewhat different issues, for instance, identification of interacting proteins (not residue level information), identification of residue patches rather than specific interactions, concentration on docking with hybrid approaches for known interactions or were relatively less successful (e.g. older work).
These methods have addressed many of the issues associated with integrating viral vectors and advanced hiPSC research by producing hiPSC lines with increased efficiency, low toxicity and free of transgene footprints, making them feasible for clinical studies such as cell replacement therapies.
