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These approaches generate a flurry of activity and might even improve a company's short-term results.
On the other hand, wrapper approaches generate a set of candidate features by adding and removing features to compose a subset of features.
While semi-automatic approaches generate a useful scaffold for a consensus network, the resulting description still requires extensive manual curation.
The first two strategies identify specific genes or genomic intervals as candidates, whereas network approaches generate a relative likelihood that every gene in the genome is causal.
DNA-Seq approaches generate a large number of variants and often secondary filtering is required to prioritize the candidate disease genes.
These analytical approaches generate a large amount of data and require specialized mathematical, statistical, and bioinformatics tools to analyze such data.
Similar(52)
The 16 configurations were modelled with two different approaches: generating a new mesh for each trim condition (standard method) and using a morphed version of the baseline condition.
Both of these approaches generates a much larger amount of reads compared to 454 sequencing but at a cost of much shorter reads.
The use of these combined approaches generated a predicted mitochondrial proteome for C. cacaofunesta that consisted of 1,124 polypeptides, with 1,072 NMP and 52 mitochondrial-encoded proteins.
This revealed that both approaches generated a similar amount of differentially expressed clones suggesting that both techniques are equally useful for expression profiling.
In these approaches, novel pathways were predicted based on chemical structure changes, enzymatic information, and/or reaction mechanisms, but the approaches generating a huge number of predicted results are difficult to be applied to real experiments.
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