Results 81 to 90 of about 86,859 (350)

dropClust: Efficient clustering of ultra-large scRNA-seq data [PDF]

Nucleic Acids Research, 2017
ABSTRACTDroplet based single cell transcriptomics has recently enabled parallel screening of tens of thousands of single cells. Clustering methods that scale for such high dimensional data without compromising accuracy are scarce. We exploit Locality Sensitive Hashing, an approximate nearest neighbor search technique to develop ade novoclustering ...
Sinha, Debajyoti, Kumar, Akhilesh, Kumar, Himanshu, Bandyopadhyay, Sanghamitra, Sengupta, Debarka   +4 more
openaire   +2 more sources

Mapping the Cerebral Organoid Landscape: A Systematic Review of Preclinical 3D Models in Neuroscience

Advanced Healthcare Materials, EarlyView.
Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram, Vanessa Arnold, Maik Wolfram‐Schauerte, Anastassiya Moskalchuk, Caroline Trust, Marie Vontz, Mona Scheurenbrand, Vijayasarathy Sampath‐Kumar, Sogand Ahari, Carlos Romero‐Nieto, Lisa Sevenich   +10 more
wiley   +1 more source

scCompass: An Integrated Multi‐Species scRNA‐seq Database for AI‐Ready

Advanced Science
Emerging single‐cell sequencing technology has generated large amounts of data, allowing analysis of cellular dynamics and gene regulation at the single‐cell resolution.
Pengfei Wang, Wenhao Liu, Jiajia Wang, Yana Liu, Pengjiang Li, Ping Xu, Wentao Cui, Ran Zhang, Qingqing Long, Zhilong Hu, Chen Fang, Jingxi Dong, Chunyang Zhang, Yan Chen, Chengrui Wang, Guole Liu, Hanyu Xie, Yiyang Zhang, Meng Xiao, Shubai Chen, Haiping Jiang, The X‐Compass Consortium, Yiqiang Chen, Ge Yang, Shihua Zhang, Zhen Meng, Xuezhi Wang, Guihai Feng, Xin Li, Yuanchun Zhou   +29 more
doaj   +1 more source

Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database.

PLoS Computational Biology, 2018
As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the number of tools designed to analyse these data has dramatically increased.
Luke Zappia, Belinda Phipson, Alicia Oshlack   +2 more
doaj   +1 more source

Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data

BMC Genomics, 2020
Background Single-cell RNA sequencing (scRNA-seq) is a powerful profiling technique at the single-cell resolution. Appropriate analysis of scRNA-seq data can characterize molecular heterogeneity and shed light into the underlying cellular process to ...
Siamak Zamani Dadaneh, Paul de Figueiredo, Sing-Hoi Sze, Mingyuan Zhou, Xiaoning Qian   +4 more
doaj   +1 more source

The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery

European Journal of Medical Research, 2023
Single-cell ribonucleic acid sequencing (scRNA-seq) has emerged as a transformative technology in neurological and neurosurgical research, revolutionising our comprehension of complex neurological disorders.
Wireko Andrew Awuah, Arjun Ahluwalia, Shankaneel Ghosh, Sakshi Roy, Joecelyn Kirani Tan, Favour Tope Adebusoye, Tomas Ferreira, Hareesha Rishab Bharadwaj, Vallabh Shet, Mrinmoy Kundu, Amanda Leong Weng Yee, Toufik Abdul-Rahman, Oday Atallah   +12 more
doaj   +1 more source

SCALE method for single-cell ATAC-seq analysis via latent feature extraction. [PDF]

, 2019
Single-cell ATAC-seq (scATAC-seq) profiles the chromatin accessibility landscape at single cell level, thus revealing cell-to-cell variability in gene regulation.
Gao, Ge, Jiang, Tao, Shao, Yanqiu, Tang, Lei, Tian, Kang, Xiong, Lei, Xu, Kui, Zhang, Michael, Zhang, Qiangfeng Cliff   +8 more
core  

Predicting lung aging using scRNA-Seq data

PLOS Computational Biology
Age prediction based on single cell RNA-Sequencing data (scRNA-Seq) can provide information for patients’ susceptibility to various diseases and conditions. In addition, such analysis can be used to identify aging related genes and pathways. To enable age prediction based on scRNA-Seq data, we developed PolyEN, a new regression model which learns ...
Song, Qi, Singh, Alex, Mcdonough, John E., Adams, Taylor S., Vos, Robin, De Man, Ruben, Myers, Greg, Ceulemans, Laurens J., Vanaudenaerde, Bart M., Wuyts, Wim A., Yan, Xiting, Schuppe, Jonas, Hagood, James S., Kaminski, Naftali, Bar-Joseph, Ziv   +14 more
openaire   +3 more sources

Opinion: Gavage Administration of MXene as a Route‐Specific Alternative to Intravenous Injection into the Bloodstream of Laboratory Animals for Reducing Systemic Nanotoxicity Risks in Immunosuppression and Post‐Transplantation Models with Bile Acid Modification

Advanced Healthcare Materials, EarlyView.
Recent studies reported immunosuppressive properties of specific MXene nanomaterials. Their intravenous injection into the bloodstream of laboratory animals has been a common delivery method to suppress systemic inflammation and prevent transplant rejection.
Alireza Rafieerad, M. Akif Rahman, Ahmad Amiri   +2 more
wiley   +1 more source

Human Primordial Germ Cells Are Specified from Lineage-Primed Progenitors. [PDF]

, 2019
In vitro gametogenesis is the process of making germline cells from human pluripotent stem cells. The foundation of this model is the quality of the first progenitors called primordial germ cells (PGCs), which in vivo are specified during the peri ...
Aslanyan, Marianna, Chen, Di, Clark, Amander, Faith, Jared, Fu, Jianping, Hou, Lei, Kellis, Manolis, Kim, Rachel, Liu, Wanlu, Sun, Na, Tao, Yu, Zheng, Yi   +11 more
core