Geman's team found a way to greatly simplify the data on tens of thousands of molecular states by converting these data to binary labels, indicating whether a measurement falls within or beyond healthy levels.
It can be estimated by the means of logistic regression model with a binary outcome indicating whether the data are missing or not.
Susceptibility and infectiousness are difficult to measure directly and, as was assumed in this paper, field disease data is often binary, indicating whether an individual became infected or not.
From the previous steps, we obtained cs (the number of occurrences of the sig-mer s in the RNA-Seq data), y s, t (binary variables indicating whether the sig-mer s is contained in the sequence of transcript t) and bt (the number of sig-mers that are contained by transcript t).
Parent-of-origin effects are incorporated by additionally including a binary indicator variable, indicating whether the offspring inherited only one copy of the variant allele.
Using the fire-hour data, we merged the hourly pollution data such that each pollutant recording had a binary variable indicating whether that hour was associated with a forest fire period.
To deal with the non-normal distribution of the data, the percentages were classified into two binary variables, indicating whether or not the disease occurred and whether or not the yield loss was severe.
Due to the requirement of large sample sizes for quantitative genetic analyses, such proxies are often obtained from field data, which are typically binary, indicating whether an individual has become infected or not [ 1].
Individual tokens and lemmas: We include a series of binary features indicating whether the token matches any token seen in the training data.
We describe the set of features as follows: Individual tokens and lemmas: We include a series of binary features indicating whether the token matches any token seen in the training data.
