We used two network inference methods to infer transcriptional networks from the rapamycin gene expression data (see Methods for further details about network inference).
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 design and compare rule- and learning-based methods to infer the triggering relations on network data.
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.
To address this problem, we deploy novel stability selection methods to infer significant connections between brain regions.
The method uses principal coordinate analysis (PCO) and clustering methods to infer subpopulations in a collection of accessions.
Traditional methods to infer the copy number from a SNP array can be referred to segmentation, modeling and regression approaches.
Here, we discuss methods to infer accuracy of vital rate estimates, even where parameter uncertainty has not been reported explicitly.
