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This work presents computationally efficient approaches for detecting known targets and anomalies of different strengths from projection measurements without performing a complete reconstruction of the underlying signals, and offers theoretical bounds on the worst-case target detector performance.
Two methods used in the study are efficient approaches for detecting candidate genes underlying complex traits, including drought tolerance.
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In the context of a binary phenotype, a computationally efficient approach for detecting G × G interactions is to compare SNP-SNP association between cases and controls.
This assay can be used as an efficient approach for detecting specific mutant DNAs by simply redesigning the sequences of capture probes and signal probes, and thus has great potential for ultrasensitive detection of various disease-related SNPs.
High throughput sequencing is now an efficient approach for detecting the expression of genes in non-model organisms, thus providing valuable information in spite of the lack of the genome sequence.
This result suggests that the sets of transcripts originating from the AFAS regions might differ depending on the priming method and that random priming is the more efficient approach for detecting these transcripts.
An efficient approach for targeting and detecting folate-receptor (FR -positive cancer cells was developed through non-covalent conjugation oFR -positive (FA) on polyethyleneimine modified cancerEI-cells
Other computationally efficient approaches for solving the genome ancestry problem have largely ignored the breeding scheme.
We use two approaches for detecting viruses.
First, we propose an efficient and accurate approach for detecting events in a continuous audio stream.
The FRET peptide libraries provide an efficient and simple approach for detecting nanomolar concentrations of endopeptidases and are useful for initial specificity characterization as performed for two proteases secreted by a Bacillus subtilis.
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