2026-10-11T22:01:52Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34017634 2026-09-28T17:52:35Z category_12 category_13 category_15 category_272 category_734 category_61 category_64 category_128 category_133 portal_5 item_type_1 month_year_09_2026

<p>Computational approach to identify clusters of cellular processes.</p> Amanda A. G. Ferreira (25132828) Sergio Córdoba (645937) Raghuvanshi Rajesh (25132831) Ben Jiwon Choi (25132834) Claude Desplan (45436) Cell Biology Genetics Neuroscience Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Developmental Biology Cancer Hematology Plant Biology innovative computational approach genetic markers expressed div >< p subcellular mrna compartmentalization optic lobe glia two large single detailed transcriptomic analysis identify mrna species glial diversity observed adult visual system glial cell bodies glial cell types understand glial development visual system cell mrna cell bodies glial types glial cells glia types adult stages cell class cell atlas neuropil glia chiasm glia work provides transcriptionally appear pupal stages helps explain gradually change drosophila </ distinct mrnas differentially localized developmental trajectories developmental single comprehensively annotated also present allowed us <p><b>(A)</b> Flowchart describing the two different approaches used to identify clusters comprised of cell processes. Both approaches were used in parallel in our work. <b>(B)</b> Violin Plot showing each cluster from the larval dataset. Red bars below indicate whether each cluster was identified as processes by Approach 1, Approach 2, and if the cluster was excluded from the final atlas. <b>(C)</b> Violin Plot showing each subcluster from the adult dataset after over-clustering. Red bars below indicate whether each subcluster was identified as processes by Approach 1, Approach 2 and if the subcluster was excluded from the final atlas. It also shows which original ID cluster the subclusters come from. <b>(D, E)</b> UMAP plots showing the original ID (D) and the over-clustering (E) of the adult dataset. The code used to generate the graphs can be found at <a href="https://zenodo.org/records/21890456" target="_blank">https://zenodo.org/records/21890456</a>.</p> <p>(TIFF)</p> 2026-09-28T17:57:37Z Image Figure 10.1371/journal.pbio.3004015.s006 https://figshare.com/articles/figure/_p_Computational_approach_to_identify_clusters_of_cellular_processes_p_/34017634 CC BY 4.0