1,720,963 research outputs found
Spatiotemporal Analysis of Human Intestinal Development at Single Cell Resolution: Supplementary Data
No full textSupplementary data for the study "Spatiotemporal Analysis of Human Intestinal Development at Single Cell Resolution" which utilises single cell RNA-sequencing (scRNA-seq) and spatial transcriptomics (ST) to characterise the origins of human intestinal development between 8 and 22 post conceptual weeks.
This supplementary data contains analysed sequencing data that was too large for main publications and details data that was used for comparisons of: cell type marker genes; ST varying genes; Transcription factor (TF) module nodes; Human Phenotype Ontology (HPO) disease comparisons across time and cell clusters; cell cluster comparisons and Gene Ontology Analysis.
Specific content:
A) An excel file with tabs of supplementary data (overview in first tab) including:
1 Sample overview
2 Endothelial Markers
3 Epithelial Markers
4 Fibroblast Markers
5 Immune Markers
6 Muscle Markers
7 Myofibroblast & Mesothelium markers
8 Neural markers
9 Pericyte Markers
10 Secretory epithelium markers
11 Compartment Markers
12 ST Distance varying genes
13 TF Tree Node Markers
14 TF Location Time Compartment
15 HPO Genes Time Varying
16 HPO Genes Cluster Specific
17 S2 Colon vs TI
18 S2 Time Course
19 Stem Cells TI vs Colon
20 Stem cells vs Stem progenitor
21 Stromal 4 differences
22 CITE-Seq Antibody Sequences
23 Neural GO BP
24 Morphogen modules
25 GO Terms ST dist genes
B)Images of ST segments (n=8 tissue segments with low resolution and high resolution images of each
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
10x Single-Cell RNAseq Colon (Reference)
No full textHuman epithelial, B, and stromal cells from the colon in a SingleCellExperiment object with labels. These data can be used as a reference set for training cell-type annotation classifiers. These three different cell-types were combined from the following original studies:
Epithelial cells: Wang, Y., Song, W., Wang, J., Wang, T., Xiong, X., Qi, Z., ... & Chen, Y. G. (2020). Single-cell transcriptome analysis reveals differential nutrient absorption functions in human intestine. Journal of Experimental Medicine, 217(2).
B cells: Huang, B., Chen, Z., Geng, L., Wang, J., Liang, H., Cao, Y., ... & Zhang, Y. (2019). Mucosal profiling of pediatric-onset colitis and IBD reveals common pathogenics and therapeutic pathways. Cell, 179(5), 1160-1176.
Stromal cells: Kinchen, J., Chen, H. H., Parikh, K., Antanaviciute, A., Jagielowicz, M., Fawkner-Corbett, D., ... & Simmons, A. (2018). Structural remodeling of the human colonic mesenchyme in inflammatory bowel disease. Cell, 175(2), 372-386.</p
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
10x Single-Cell RNAseq Colon (Withheld Test Set)
No full textHuman epithelial, B, and stromal cells from the colon in a SingleCellExperiment object with labels. These data consist of 100 cells withheld from a larger reference set and can be used for evaluating cell-type annotation classifiers. These three different cell-types were combined from the following original studies:
Epithelial cells: Wang, Y., Song, W., Wang, J., Wang, T., Xiong, X., Qi, Z., ... & Chen, Y. G. (2020). Single-cell transcriptome analysis reveals differential nutrient absorption functions in human intestine. Journal of Experimental Medicine, 217(2).
B cells: Huang, B., Chen, Z., Geng, L., Wang, J., Liang, H., Cao, Y., ... & Zhang, Y. (2019). Mucosal profiling of pediatric-onset colitis and IBD reveals common pathogenics and therapeutic pathways. Cell, 179(5), 1160-1176.
Stromal cells: Kinchen, J., Chen, H. H., Parikh, K., Antanaviciute, A., Jagielowicz, M., Fawkner-Corbett, D., ... & Simmons, A. (2018). Structural remodeling of the human colonic mesenchyme in inflammatory bowel disease. Cell, 175(2), 372-386.</p
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