Zobrazeno 1 - 10
of 502
pro vyhledávání: '"cell clustering"'
Autor:
Qian Ding, Wenyi Yang, Guangfu Xue, Hongxin Liu, Yideng Cai, Jinhao Que, Xiyun Jin, Meng Luo, Fenglan Pang, Yuexin Yang, Yi Lin, Yusong Liu, Haoxiu Sun, Renjie Tan, Pingping Wang, Zhaochun Xu, Qinghua Jiang
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-36 (2024)
Abstract Advances in single-cell transcriptomics provide an unprecedented opportunity to explore complex biological processes. However, computational methods for analyzing single-cell transcriptomics still have room for improvement especially in dime
Externí odkaz:
https://doaj.org/article/1acf3ecb89144f69bb113bc2a6df2a95
Publikováno v:
BMC Bioinformatics, Vol 25, Iss S2, Pp 1-20 (2024)
Abstract Background With the advance in single-cell RNA sequencing (scRNA-seq) technology, deriving inherent biological system information from expression profiles at a single-cell resolution has become possible. It has been known that network modeli
Externí odkaz:
https://doaj.org/article/f8c8af8d92f34b618ab172c9c7508f61
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Multimodal integration combines information from different sources or modalities to gain a more comprehensive understanding of a phenomenon. The challenges in multi-omics data analysis lie in the complexity, high dimensionality, and heteroge
Externí odkaz:
https://doaj.org/article/1b1291cda47649f4a6da91973244af06
Autor:
Mallikarjuna Rao Gundavarapu, Raghavender Kotla Venkata, S. Bhargavi Latha, Pavan Kumar N. V., Ashlin Deepa R. N., Evgeny Vladimirovich Kotov, Rishi Dev Nautiyal, Laith H. Alzubaidi
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
Liver cancer ranks as the third most common cause of cancer-related death rate, resulting in an estimated 830,180 deaths globally. Recent, 2023 estimation of the American Cancer Society predicted around 29,380 deaths due to this disease in America al
Externí odkaz:
https://doaj.org/article/832702eb45b84a7f8b242d895df7ca5b
Autor:
Yisong Wang, Mingzhi Wang
Publikováno v:
IEEE Access, Vol 12, Pp 60222-60233 (2024)
The emergence of single-cell RNA sequencing (scRNA-seq) has brought to light the critical need for scrutinizing transcriptomes at the individual cellular level with unparalleled precision. A pivotal aspect of scRNA-seq data analysis involves cell ide
Externí odkaz:
https://doaj.org/article/4916a0d14dbe4ae0881390d6d66595fb
Autor:
Fabian Hausmann, Can Ergen, Robin Khatri, Mohamed Marouf, Sonja Hänzelmann, Nicola Gagliani, Samuel Huber, Pierre Machart, Stefan Bonn
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-40 (2023)
Abstract Background Single-cell sequencing provides detailed insights into biological processes including cell differentiation and identity. While providing deep cell-specific information, the method suffers from technical constraints, most notably a
Externí odkaz:
https://doaj.org/article/a37a7fd8e5294ea4979af75cc27ceea2
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
BackgroundRobust immune cell gene expression signatures are central to the analysis of single cell studies. Nearly all known sets of immune cell signatures have been derived by making use of only single gene expression datasets. Utilizing the power o
Externí odkaz:
https://doaj.org/article/5e38414e699f43fc964e48caa1459418
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