NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms
about
BGRMI: A method for inferring gene regulatory networks from time-course gene expression data and its application in breast cancer researchLarge scale gene regulatory network inference with a multi-level strategy.Netter: re-ranking gene network inference predictions using structural network propertiesSABRE: a method for assessing the stability of gene modules in complex tissues and subject populationsGene regulatory network inference using PLS-based methods.Untangling statistical and biological models to understand network inference: the need for a genomics network ontology.Estimation of the proteomic cancer co-expression sub networks by using association estimators.
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Q28595423-8B9B0CCD-1305-40B9-942E-2C9631137238Q30277887-F2A2C153-F652-4E98-9C18-59DCE9C66DE7Q35919208-B9EE1102-FE4A-4615-968B-4733BC20C335Q36191963-660B5A17-53A1-4F10-A835-DDC61752FFD8Q36235039-95CB03EB-4B8A-480E-88E9-919C12DE5F1EQ38472582-6B25135E-A8EB-4C5A-BF5E-8C4A10C56CA5Q46818303-360398F4-D94A-4096-9463-A2AA2FE5D9D5
P2860
NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms
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NIMEFI: gene regulatory networ ...... feature importance algorithms
@ast
NIMEFI: gene regulatory networ ...... feature importance algorithms
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type
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NIMEFI: gene regulatory networ ...... feature importance algorithms
@ast
NIMEFI: gene regulatory networ ...... feature importance algorithms
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NIMEFI: gene regulatory networ ...... feature importance algorithms
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NIMEFI: gene regulatory networ ...... feature importance algorithms
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P2093
P2860
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NIMEFI: gene regulatory networ ...... feature importance algorithms
@en
P2093
Joeri Ruyssinck
Pierre Geurts
Piet Demeester
Tom Dhaene
Vân Anh Huynh-Thu
P2860
P304
P356
10.1371/JOURNAL.PONE.0092709
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P50
P577
2014-03-25T00:00:00Z