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Yet another new method, termed as the RBB algorithm, was conceived to solve these problems.
An HLA-specific primer-design algorithm was conceived to facilitate the search for forward and reverse HLA allele-specific primers that would satisfy a number of requirements such as a 3' base difference, 21-mer length, melting temperature of 66°C, amplified fragment length of 70-120 bp and no cross-reactivity with other alleles in the HLA database.
Originally, the algorithm was conceived to predict missing expression values in gene regulatory networks, but given all the expression values of a GRN, it could be applied to contextualize the network.
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The algorithm is conceived to avoid any transport equation for ϕ and to confine the Level-Set function to the role of a mere post-processing tool; thus, all the numerical diffusion problems usually affecting the Level-Set methodology are removed.
This mechanism was conceived to passively adapt to rough terrain.
The Chameleon-RF project was conceived to address these challenges.
Simrank was conceived to avert these limitations.
Such an algorithm was conceived in order to improve the performance of ANN-based software, when relatively small datasets have to be processed.
The algorithm was conceived with two nested loops.
The proposed algorithm was conceived as a critical piece of an emerging data processing "pipeline" that will eventually accept time series and other data characterizing biological pathways and more or less automatically propose topological and regulatory structures that are consistent with the input data.
The status of generalist versus specialist, for each algorithm, can be discussed using the local performance criteria Sself and Sacross, which are conceived to measure within-single-studies and generalizable prediction performances.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com