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We also recognised a potential anatomical bias in the datasets derived from brain regions with high neuronal loss.
To determine a gene signature for hematopoietic progenitor and stem cells, we used the datasets derived from 57 CD34+ sets, as whole bone marrow sets may not be a true reflection of these progenitors, being as they are a mixture of various cell types.
We name the datasets derived from the sources S i and S j as separate datasets.
A range of bioinformatics analyses were conducted, utilizing the datasets derived from the meta-analysis covering differential gene expression and SEREX.
To overcome fragmentations, the sequenced Monoraphidium genome was compared with the datasets derived from RNA sequencing approaches of the already well-investigated C. reinhardtii and N. gaditana.
For differential M. bovis BCG gene and small RNA expression analysis, the datasets derived from enriched infections (IF1/2ER) were compared to a reference culture of exponentially growing M. bovis BCG (EGB).
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The dataset derived from this resource that supports the findings of this study is available at https://oncologynibr.shinyapps.io/drive/.io/drive/
The dataset derived from this resource that supports the findings of this study is available at https://portals.broadinstitute.org/achilles/datasets/all.org/achilles/datasets/all
Consequently, we analyzed cytokinin-deficiency separately from the dataset derived from the cytokinin-induced plants.
The dataset derived from skin lesion images contained 972 instances of nevus skin lesions and 69 melanoma cases.
For in silico expression analysis, contig and singlet frequencies across the libraries were obtained from the dataset derived from the CAP3 assembly.
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