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AssigneeUniversity of Florida Research Foundation, Inc.
InventorsDavid TRAN, Son Bang LE
Estimating the term…
Example embodiments of the present invention address problems in computational biology and network theory. As mentioned above, example embodiments enable the determination of where to set a threshold cutoff level to maximize sensitivity of a gene expression profile while minimizing the false discovery rate (FDR). Some example embodiments exploit the filtered gene expression profile to discover potential master regulators that may be targetable by various perturbagen-based treatments. Other example embodiments facilitate the harvesting of meaningful data from other type of network and node statistics inputs, even those not related specifically to computational biology or the exploitation of inferred gene expression profiles.
A method for an analysis computing entity to utilize a computational pipeline to generate a highly reliable regulatory network from gene expression data, the method comprising:
A method for an analysis computing entity to calculate importance scores for nodes in a network, the method comprising:
A method for identifying and validating one or more master regulators and biomarkers, the method comprising:
An apparatus comprising at least one processor and at least one memory storing computer program code, the at least one memory and the computer program code configured to, with the processor, cause the apparatus to at least:
A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising program code instructions that, when executed, cause a computer to at least:
Dependencies are inferred from the claim text.