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This means that in order to boost gene prioritization we need: (a) gene prioritization algorithms able to exploit the overall topology of the network; (b) weighted integration methods, able to learn from the data how to combine different gene interaction networks.
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This approach is particularly relevant for our application because it is based on unsupervised clustering, bypasses multiple testing problems when relating gene information to physiological traits, and does not need a priori gene ontology information.
With SCID-X1, the cells that need a new gene are readily accessible in the bone marrow, whose cells are relatively easy to remove from the body.
Repetitive patterning may involve many genes, but in principle it is a nested cascade of signaling that gets used over and over again: you don't need a separate gene for each hair or tooth.
Therefore, the Tra cluster was mostly eliminated from the R. africae, and, following a "use it or lose it" scheme, this species probably did not need a tra gene-linked conjugation system.
As long as pests and diseases continue to evolve, we need a very wide gene pool of varieties of every crop.
The political class needs a bigger gene pool.
To infer ancestral networks with the extended network evolution model, we need a full history of gene duplications and losses for the gene families.
These promoters are found in large numbers especially in tissues that need a short-term critical gene expression.
In sum, systemic administration method need a high dose of gene and microbubble and induce side effect of non-target organ delivery.
It is difficult to speculate with the data available why the Otophysi and the salmonids apparently do not need a second AR-B gene.
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