It seems that studies on smaller populations may be sufficient for obtaining reliable results in the case of a precisely defined phenotype, for example, CPD, and for robust association of this phenotype with genotype.
We illustrate the concept of an IMPROVER external challenge using as an example the search for robust signatures to perform diagnosis of diseases based on commonly available transcriptomics data.
Examples of robust designs for logistic models are presented, including a case study implementing the methodologies using beetle mortality data.
For example, robust stability and (H_{infty}) were studied for uncertain systems with impulsive perturbations [12].
For example, the robust state estimation problem for discrete-time bidirectional associative memory (BAM) neural networks is studied in [28].
For example, robust information about marker organization on chromosomes is crucial for linkage analysis and marker assisted animal breeding.
For example, robust stability and stabilization of fractional-order interval systems were investigated in [3].
Biofilms, for example – robust, slimy surface coatings that harbour bacteria and can spread infection in hospitals – are manufactured through the co-operation of several different species.
There are always trade-offs when considering different cloud alternatives; for example, robust cloud infrastructures may result in unnecessary costs to guarantee against events that are very unlikely to happen, while simple infrastructures may result in loss of critical data.
For example, robust tracking algorithms based on high-complexity computing methods, like principal component analysis or image features such as SIFT (scale-invariant feature transform) and SURF (speeded-up robust features), are able to run in real-time only on modern powerful computers [9].
