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The effectiveness of the proposed model is validated by the industrial plant datasets from a commercial reforming process.
Consequently, a few set of models using different functional variants of NLHW has been developed and their accuracy in detecting the on off timing and intensity of the input light stimulus are compared for 19 independent plant datasets (including 2 additional species viz. Zamioculcas zamiifolia and Cucumis sativus) under similar experimental scenario.
For plant datasets all miRNAs include contaminated animal miRNAs.
Subsequently, clonal variation within the control and the salt-exposed plant datasets was tested by one-way ANOVA.
To date, databases are available that exhibit plant datasets representing their response to diverse experimental stimuli [ 17– 20].
Functional annotations based on sequence similarity to known plant datasets revealed a distribution of functional categories for both species very similar to that of tomato.
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TWINSPAN classification was applied on selected plots of a plant dataset to distinguish vegetation types and identify the indicator species of each different type.
In the plant dataset, we also consider Chloroplast Transit Peptides CTPP).
BUSCO analysis was performed using the early access plant dataset.
Note that our "plant" dataset contains the unicellular green algae Chlamydomonas reinhardtii, which is not a typical plant but is classified in the "viridiplantae" kingdom.
We analysed a plant dataset from Zhong et al. (2013) of 32 species and 184 genes using ASTRAL, adding bipartitions to X (see Supplementary Materials).
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