As a result, there is a persistent need for practical, principled methods to infer the modular organization of genes from genome-scale data.
In one of its many uses in drug discovery, SACP provides an efficient, thermodynamically principled method of ranking chemotype replacements for scaffold hopping and manipulating physicochemical characteristics for drug development.
Therefore, it is still of great interest to develop principled methods for identifying chromatin states within and across multiple genomes.
Much interest has focused recently on the development of principled methods for combining information from multiple nearby methylation sites to aid biological inference [ 4, 5].
He says that the huge scope and complexity of the data warrants statistical, principled methods of analysis.
Topics will also include quantitative methodologies for addressing various challenges, such as accommodating multiple objectives, automating differentiation, handling uncertainty in evaluations, selecting design points for experimentation, and principled methods for optimization when evaluations are expensive.
Since scanning large objects at high resolution will always yield datasets with the artifacts enumerated above, developing principled methods for overcoming them seems like worthwhile research, and good solutions would undoubtedly be publishable.
More statistically principled methods for handling missing data also exist.
With the advent of whole-genome analysis for profiling tumor tissue, a pressing need has emerged for principled methods of organizing the large amounts of resulting genomic information.
By contrast, the former principled methods are likely to be consistent under MCAR and sometimes MAR mechanisms.
