WebMar 6, 2024 · FlashWeave predicts ecological interactions between microbes from large-scale compositional abundance data (i.e. OTU tables constructed from sequencing data) through statistical co-occurrence or co-abundance. It reports direct associations, with adjustment for bystander effects and other confounders, and can furthermore integrate … WebFlashWeave_other_para. default "alpha=0.01,sensitive=true,heterogeneous=true"; the parameters used for FlashWeave; user can change the parameters or add more according to FlashWeave help document; An exception is meta_data_path parameter as it is generated based on the data inside the object, see FlashWeave_meta_data parameter …
Rapid Inference of Direct Interactions in Large-Scale
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WebDec 9, 2024 · FlashWeave was set to sensitive, nonheterogeneous and to only consider associations with more than ten observations. Since FlashWeave incorporates a clr transformation, it handles compositional ... WebFlashWeave (f) uses a straight-forward discretization scheme: all non-zero abundance values become one, while absences remain zero. This approach makes normalization and pseudo-counts unnecessary... WebFeb 18, 2024 · using BenchmarkTools using FlashWeave using ParserCombinator using GraphIO.GML using LightGraphs using SimpleWeightedGraphs data_path = /path/to/my/data netw_results = FlashWeave.learn_network(data_path, sensitive = true, heterogeneous = false) dummy_weighted_graph = … knot bottle