Systematic evaluation of the isolated effect of tissue environment on the transcriptome using a single-cell RNA-seq atlas dataset
Abstract Background Understanding cellular diversity throughout the body is essential for elucidating the complex functions of biological systems. Recently, large-scale single-cell omics datasets, known as omics atlases, have become available. These atlases encompass data from diverse tissues and ce...
Saved in:
| Main Authors: | Daigo Okada, Jianshen Zhu, Kan Shota, Yuuki Nishimura, Kazuya Haraguchi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
|
| Series: | BMC Genomics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12864-025-11614-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Algorithm for Mining Maximal Balanced Bicliques Using Formal Concept Analysis
by: Ilkhomjon Sadriddinov, et al.
Published: (2025-01-01) -
A dynamic programming algorithm for generating chemical isomers based on frequency vectors
by: Ryota Ido, et al.
Published: (2025-07-01) -
Biclique cryptanalysis on lightweight block ciphers I-PRESENT-80 and I-PRESENT-128
by: Jie CUI, et al.
Published: (2017-11-01) -
Countable Ideals in a Semi-Lattice of the De Enumeration Degrees
by: V. V. Tikhov
Published: (2015-02-01) -
An mRNA expression atlas for the duck with public RNA-seq datasets
by: Qiuyu Tao, et al.
Published: (2025-03-01)