Title | ||
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MANIA: A GENE NETWORK REVERSE ALGORITHM FOR COMPOUNDS MODE-OF-ACTION AND GENES INTERACTIONS INFERENCE |
Abstract | ||
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Understanding the complexity of the cellular machinery represents a grand challenge in molecular biology. To contribute to the deconvolution of this complexity, a novel inference algorithm based on linear ordinary differential equations is proposed, based solely on high-throughput gene expression data. The algorithm can infer (i) gene-gene interactions from steady state expression profiles and (ii) mode-of-action of the components that can trigger changes in the system. Results demonstrate that the proposed algorithm can identify both information with high performances, thus overcoming the limitation of current algorithms that can infer reliably only one. |
Year | DOI | Venue |
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2009 | 10.1142/S0219525910002451 | ADVANCES IN COMPLEX SYSTEMS |
Keywords | Field | DocType |
Gene network,gene expression,reverse engineering,ordinary differential equations (ODE),compound mode-of-action | Gene,Ordinary differential equation,Inference,Reverse engineering,Deconvolution,Algorithm,Artificial intelligence,Gene regulatory network,Mode of action,Mathematics,Machine learning | Conference |
Volume | Issue | ISSN |
13 | 1 | 0219-5259 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Darong Lai | 1 | 10 | 2.57 |
Hongtao Lu | 2 | 735 | 93.14 |
Mario Lauria | 3 | 628 | 95.12 |
DIGEO DI BERNARDO | 4 | 0 | 0.34 |
Christine Nardini | 5 | 65 | 9.00 |