Exact(6)
A robust, efficient algorithm could extrapolate high throughput screening data (which is becoming increasingly available) to help annotate larger databases like PubChem and the ChemDB, and generate hypotheses for additional biological experiments.
StarNet results may suggest putative interactions, either in biochemical pathways or transcriptional regulatory networks, thus providing new hypotheses for additional experiments.
Rather, its predictions provide biological or clinical hypotheses for additional experimental investigations.
Further, because the outputs of the analyses are easy to interpret, the rule based classifier approach could quickly generate testable hypotheses for additional evaluation.
When that work is completed, it will be possible to generate hypotheses for additional testing based on observations about plant morphology [ 11] or seed protein allozymes [ 11- 13] that have been used to characterize genetic diversity within common bean.
However, further evidence is needed to corroborate the findings, as ecological studies are prone to ecological fallacy and other errors, and are often used to generate hypotheses for additional investigation employing more rigorous methods.
Similar(54)
Just as OTU in traditional taxonomy, MOTU do not necessarily equate to biological species, but should be treated as taxonomical hypotheses in need for additional evidence of their mutual reproductive isolation [ 1].
We further explored the plausibility of various hypotheses through a combination of methods described below that allowed room for additional hypotheses to emerge or existing hypotheses to strengthen as cases accrued.
Our project highlights the wealth of available information from mouse models for human GWAS, catalogues extensive information on plausible physiologic implications for many genes, provides hypothesis-generating findings for additional GWAS analyses and documents that the concordance between human and mouse genetic association is larger than expected by chance and can be informative.
We believe that worthwhile information will be provided by the ongoing development of new technologies for large-scale, unbiased analyses: genome-wide functional screens, deep sequencing, mass spectrometry and advanced imaging approaches will offer extensive ground for hypothesis generation and for additional target discovery.
On the other hand, the end product of the ENM approach can serve as the foundation for additional hypothesis-driven ecological and epidemiologic research.
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