SUMMARY Selector probes enable the amplification of many selected regions of the genome in multiplex. Disperse is a software pipeline that automates the procedure of designing selector probes for exon resequencing applications. AVAILABILITY Software and documentation is available at http://bioinformatics.org/disperse

An integrated memory cell with a mem-ristor and a trilayer crested barrier selector, showing repeatable nonlinear current-voltage switching loops is presented. The fully atomic-layer-deposited TaN1+x /Ta2 O5 /TaN1+x crested barrier selector yields a large nonlinearity (>10(4) ), high endurance (>10(8) ), low variability, and low temperature dependence.

The formation and identity of organs and appendages are regulated by specific selector genes that encode transcription factors that regulate potentially large sets of target genes. The DNA-binding domains of selector proteins often exhibit relatively low DNA-binding specificity in vitro. It is not understood how the target selectivity of most selector proteins is determined in vivo. The Scallop...

In the paper, we proposed Dantzig selector based on $\ell_{1}-\alpha \ell_{2}$~$(0< \alpha \leq1)$ minimization for signal recovery. selector, constraint $\|{\bf A}^{\top}({\bf b}-{\bf A}{\bf x})\|_\infty \leq \eta$ some small constant $\eta>0$ means columns of ${\bf A}$ has very weakly correlated with error vector e}={\bf x}-{\bf b}$. First, recovery guarantees restricted isometry property (RI...

The Drosophila adult head mostly derives from the composite eye-antenna imaginal disc. The antennal disc gives rise to two adult olfactory organs: the antennae and maxillary palps. Here, we have analysed the regional specification of the maxillary palp within the antennal disc. We found that a maxillary field, defined by expression of the Hox gene Deformed, is established at about the same time...

Updating Optimal Coefficients and Selected Observations Affine Projection is an effective way to reduce the computational and power consumption of this algorithm in the application of adaptive filters. On the other hand, the calculation of this algorithm can be reduced by using subbands and applying the concept of filtering the Set-Membership in each subband. Considering these concepts, the fir...

Feature selection is an integral part of most learning algorithms. Due to the existence of irrelevant and redundant attributes, by selecting only the relevant attributes of the data, higher predictive accuracy can be expected from a machine learning method. In this paper, we propose the use of a three-layer feedforward neural network to select those input attributes that are most useful for dis...