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A back-lit electroluminescent gauge cluster featured a holographic visual effect, with indicator lights projected onto the instrument panel.
This cluster featured the most evenly distributed age categories.
This cluster featured genes encoding transcription factor (TF), biotic/abiotic responses, ethylene signaling/biogenesis, and cell wall degradation enzymes.
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With BIRCH, a tree of cluster features defining the partitioning of high dimensional space is generated, followed by a conventional k-Means clustering of each cluster feature obtained with BIRCH.
We analyze the information theoretic properties of our cluster features to highlight the most useful features for classification.
With BIRCH, a tree of clustered features defining the partitioning of high-dimensional space was generated, followed by a conventional k-Means clustering of each cluster feature obtained with BIRCH.
Further, 30% of the novel contigs clusters featured H3K4me3 modification peaks within 2 kb region from their 5′end.
The constructed clusters, featured by a major gene interacting with many other genes, reproduced in Taiwanese and Caucasian populations and across multiple genotyping platforms.
Hence, both resources confirmed that the disease clusters feature biological processes that reflect the type of clustered disorders.
Burned area clusters feature low internal heterogeneity and are, thus, easier to distinguish in some spectral bands.
Indeed, these clusters feature the highest percentage of regulators and secretion-related genes of our dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com