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.
Single-stranded DNA and RNA origami go live
15.12.2017 | Wyss Institute for Biologically Inspired Engineering at Harvard
New antbird species discovered in Peru by LSU ornithologists
15.12.2017 | Louisiana State University
DNA molecules that follow specific instructions could offer more precise molecular control of synthetic chemical systems, a discovery that opens the door for engineers to create molecular machines with new and complex behaviors.
Researchers have created chemical amplifiers and a chemical oscillator using a systematic method that has the potential to embed sophisticated circuit...
MPQ scientists achieve long storage times for photonic quantum bits which break the lower bound for direct teleportation in a global quantum network.
Concerning the development of quantum memories for the realization of global quantum networks, scientists of the Quantum Dynamics Division led by Professor...
Researchers have developed a water cloaking concept based on electromagnetic forces that could eliminate an object's wake, greatly reducing its drag while...
Tiny pores at a cell's entryway act as miniature bouncers, letting in some electrically charged atoms--ions--but blocking others. Operating as exquisitely sensitive filters, these "ion channels" play a critical role in biological functions such as muscle contraction and the firing of brain cells.
To rapidly transport the right ions through the cell membrane, the tiny channels rely on a complex interplay between the ions and surrounding molecules,...
The miniaturization of the current technology of storage media is hindered by fundamental limits of quantum mechanics. A new approach consists in using so-called spin-crossover molecules as the smallest possible storage unit. Similar to normal hard drives, these special molecules can save information via their magnetic state. A research team from Kiel University has now managed to successfully place a new class of spin-crossover molecules onto a surface and to improve the molecule’s storage capacity. The storage density of conventional hard drives could therefore theoretically be increased by more than one hundred fold. The study has been published in the scientific journal Nano Letters.
Over the past few years, the building blocks of storage media have gotten ever smaller. But further miniaturization of the current technology is hindered by...
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