Generally, phase ambiguities rise frequently in conserved regions or sequences with a reduced incidence of widely spaced SNPs and cannot be excluded by the currently developed methods.
Although reverse engineering methods such as Boolean networks [ 1], Bayesian networks [ 2, 3], dynamic Bayesian networks [ 4, 5], multivariate regression methods [ 6- 8], linear programming [ 9], genetic algorithm [ 10] and information theoretic [ 11] approaches have been applied to deduce the circuitry of signaling and gene networks, all currently developed methods have significant limitations.
The underlying systematic literature review is sufficiently comprehensive in nature and scope such that, rather than being selected from those designs known already by individual researchers, or those available on standard statistical packages, researchers instead may choose from the full range of currently developed methods.
We are currently developing methods that enable an automatic detection of these kinds of events directly in the raw data.
Thus, we are currently developing methods to estimate individual exposure to traffic-related noise levels indoors at homes.
Our group is currently developing methods to account for the above limitations in order to correctly adjust health effect estimates obtained using surrogate exposures.
The currently developed integrative methods for analysis of multiple genomic data of the same patients can generally be classified into three groups [ 7, 8].
We have shown that the currently developed SDS-PAGE method can be used as a reliable quantitative method for determination of urinary THP concentration.
We are currently developing a method for predicting candidate compounds from unknown chemical shifts in HSQC-spectra of biological extracts.
We are also currently developing a method for secure anonymous data transfer to authorised studies, where the appropriate permissions and consent are in place, and the request is approved by the IGRP.
