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Significant variables of the models and craniofacial structures of each group were identified by one-way analysis of variance (ANOVA) at a significance level of P < 0.05.
Significant variables of models and craniofacial structures of each group were identified by comparing the measurements using one-way analysis of variance (ANOVA) at a significance level of P < 0.05.
The TFs potentially regulating maximum number of genes in each group were identified.
The survey samples for each group were identified and recruited following different protocols.
First, genes present in at least two samples belonging to each group were identified.
The DEGs in the caecum for each group were identified, and the statistics are shown in Table S9.
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Thus, weekly NCBC-parameters can be divided into 7 groups with the parameters of each group being identified separately via ACLs in the corresponding time-section.
Disordered regions can be classified into three groups based on sequence features alone, where proteins from each group are identified by different experimental techniques [9].
Using Table V from Julious [41], the minimum sample size for each group was identified as 39, but more were recruited to hedge against attrition.
A special case of a corporative ranking network is the kingdom ranking network, in which each group is identified by a common biological linkage, such as matriline or common genetic descent.
Furthermore, specific amino acid sites that may be the targets of positive selection in each group are identified.
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