Name
Title | ||
|---|---|---|
Bridging Histology and Bioinformatics—Computational Analysis of Spatially Resolved Transcriptomics |
Abstract | ||
|---|---|---|
It is well known that cells in tissue display a large heterogeneity in gene expression due to differences in cell lineage origin and variation in the local environment. Traditional methods that analyze gene expression from bulk RNA extracts fail to accurately describe this heterogeneity because of their intrinsic limitation in cellular and spatial resolution. Also, information on histology in the ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JPROC.2016.2538562 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Spatial resolution,Probes,RNA,Fluorescence,Multiplexing,Signal resolution,Bioinformatics | Journal | 105 |
Issue | ISSN | Citations |
3 | 0018-9219 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Mignardi | 1 | 0 | 0.34 |
| Omer Ishaq | 2 | 3 | 1.41 |
| Xiaoyan Qian | 3 | 0 | 0.34 |
| Carolina Wählby | 4 | 27 | 6.30 |