Current microarray experiments allow the levels of activity of thousands of genes to be measured at once, providing a window into molecular events underlying health and disease. The selection of genes having distinct levels of activity between conditions of interest (such as cancer and non-cancer) has therefore emerged as a key aim of data analysis. However, with typically many thousands of genes to choose from and at most a few dozen sets of measurements available, differential analyses of this kind are extremely challenging. Different statistical tests yield different results due to their underlying assumptions, but on real data it is usually impossible to tell which method is likely to be right.
Researchers at the University of Oxford have developed a new method that is able of provide a consistency measure for such tests. It is capable of assessing the effectiveness of each algorithm for particular data and it can be further utilised to learn how to produce an effective statistical method for testing the given data.
The new method has many distinct advantages and benefits in comparison with existing methods for screening. One of the main advantages is that it is able to assess statistical algorithms by selecting custom algorithms from data using a notion of consistency. The technique, which is extremely robust, helps to reduce the risk of choosing an inappropriate algorithm. This helps to minimise errors and therefore lead to significant potential reduction in the cost of producing data.
Scientists enlist engineered protein to battle the MERS virus
22.05.2017 | University of Toronto
Insight into enzyme's 3-D structure could cut biofuel costs
19.05.2017 | DOE/Los Alamos National Laboratory
Two-dimensional magnetic structures are regarded as a promising material for new types of data storage, since the magnetic properties of individual molecular building blocks can be investigated and modified. For the first time, researchers have now produced a wafer-thin ferrimagnet, in which molecules with different magnetic centers arrange themselves on a gold surface to form a checkerboard pattern. Scientists at the Swiss Nanoscience Institute at the University of Basel and the Paul Scherrer Institute published their findings in the journal Nature Communications.
Ferrimagnets are composed of two centers which are magnetized at different strengths and point in opposing directions. Two-dimensional, quasi-flat ferrimagnets...
An Australian-Chinese research team has created the world's thinnest hologram, paving the way towards the integration of 3D holography into everyday...
In the race to produce a quantum computer, a number of projects are seeking a way to create quantum bits -- or qubits -- that are stable, meaning they are not much affected by changes in their environment. This normally needs highly nonlinear non-dissipative elements capable of functioning at very low temperatures.
In pursuit of this goal, researchers at EPFL's Laboratory of Photonics and Quantum Measurements LPQM (STI/SB), have investigated a nonlinear graphene-based...
Dental plaque and the viscous brown slime in drainpipes are two familiar examples of bacterial biofilms. Removing such bacterial depositions from surfaces is...
For the first time, scientists have succeeded in studying the strength of hydrogen bonds in a single molecule using an atomic force microscope. Researchers from the University of Basel’s Swiss Nanoscience Institute network have reported the results in the journal Science Advances.
Hydrogen is the most common element in the universe and is an integral part of almost all organic compounds. Molecules and sections of macromolecules are...
22.05.2017 | Event News
17.05.2017 | Event News
16.05.2017 | Event News
22.05.2017 | Materials Sciences
22.05.2017 | Life Sciences
22.05.2017 | Physics and Astronomy