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OrthoMCL clustered genes from each of the three organisms into simple or complex ortholog groups depending on whether one or more than one ortholog is present for the gene in the organsims being compared as described using the following example.
In every frame of a given trajectory, we assigned the QD to one of two groups, depending on whether it was located closer to a Homer1c or to a gephyrin cluster.
Genotype calls for all SNPs could be grouped into one or more groups depending on whether a SNP site was monomorphic or polymorphic.
Due to the significant difference between male and female EPT scores, patients were subdivided into one of two groups depending on whether their EPT was below or above the gender-specific median (men 30 and women 19, respectively).
Patients were divided into two groups, depending on whether they had androgen-dependent or castrate-resistant disease at study entry.
Patients were enrolled into one of two chemotherapy groups depending on whether they were receiving combination gemcitabine and platinum (cisplatin or carboplatin; Group A) or single-agent gemcitabine (Group B).
Charts were divided into two groups depending on whether they received an initial bolus dose of insulin.
Representations can be broadly categorized into two groups, depending on whether they use RGB-D information or 3D skeleton data.
Then, we classify the reforms into six groups depending on whether the reform requires legal changes and on political resistance that the reform is likely to face.
We actually get different histories for the three groups depending on whether we analyze their mitochondrial (maternally inherited) or nuclear (bi-parentally inherited) genomes.
In the experiment, 300 participants were divided into "expert" versus "non-expert" groups, depending on whether they had an interest in the game or not.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com