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Results show that clustering accuracy obtained is high and it outperforms other methods in the majority of datasets tested.
The vast majority of datasets fail normality tests and so cannot be safely analysed using statistics dependent on assumptions of normality.
Sampling effort in fruiting phenology studies was generally low: the majority of datasets targeted fewer than 100 plant species (71%), lasted 2 years or less (72%), and only 10.4% monitored > 15 individuals per species.
The majority of datasets published on SEAMAP were contributed by government groups (n = 150), followed by non-government groups (n = 50) and universities (n = 34).
We observed >2-fold variation in substitution rates in the majority of datasets of the shortest and longest branch lengths (Figures 1 and 2; Table 1).
When rates were estimated in an ML framework we observed >2-fold variation in substitution rates for the majority of datasets of the shortest and longest branch lengths (Figure 3; Table 1).
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Transcriptome specificity is higher (87%) than translatome specificity in the large majority of dataset pairs, except for three of them related to short-term cell treatments.
However, the format of benchmark datasets varies, and the majority of test datasets have been developed in the United States and are specific to this spatial context.
One is to link all or the majority of study datasets to build a master dataset.
To obtain genome-wide lncRNA and protein-coding gene expression profiles from GEO datasets, we downloaded the raw data of the majority of the datasets and subsequently performed transcriptome assemblies by applying TopHat v2.0.9 and Cufflinks v2.1.1 with the default parameters (25, 26).
In the majority of simulated datasets, male additive genetic variances in LRS becomes lower, thereby leading to extreme or zero estimates for the genetic correlation.
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