Using different inference methods to infer such trees from biological data, or using different biological data from the same set of species, often yield slightly different trees.
We used two network inference methods to infer transcriptional networks from the rapamycin gene expression data (see Methods for further details about network inference).
We used maximum parsimony (MP) [ 39], maximum likelihood (ML) [ 40], and Bayesian inference (BI) [ 41] phylogenetic methods to infer phylogenetic trees.
The statistical inference methods are discussed in the section of "Methods to infer demographic parameters".
There are learning methods to infer both structure and probability parameters with support for incomplete data.
Given that education quality is not directly observed, previous studies mostly used two main methods to infer it.
We present in the next section methods to infer crowd characteristics from location information as provided by smartphones.
These complexities prohibit derivations of any practical analytical methods to infer reasonable throughput levels between the MicroBlaze and the MPMC.
We design and compare rule- and learning-based methods to infer the triggering relations on network data.
To address this problem, we deploy novel stability selection methods to infer significant connections between brain regions.
Finally, I discuss methods to infer the driving mechanisms of observed disk winds and their implications for connections between mass accretion and ejection processes.
