Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Manqi Zhou"'
Autor:
Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-22 (2024)
Abstract Parkinson’s disease (PD) is a serious neurodegenerative disorder marked by significant clinical and progression heterogeneity. This study aimed at addressing heterogeneity of PD through integrative analysis of various data modalities. We a
Externí odkaz:
https://doaj.org/article/c98b774780634551a2636756a95523ae
Publikováno v:
STAR Protocols, Vol 5, Iss 2, Pp 103066- (2024)
Summary: The advent of single-cell multi-omics sequencing technology makes it possible for researchers to leverage multiple modalities for individual cells. Here, we present a protocol to perform integrative analysis of high-dimensional single-cell m
Externí odkaz:
https://doaj.org/article/b5eede18cadf4f34b66fe9783ce0a9f2
Autor:
Chang Su, Yu Hou, Manqi Zhou, Suraj Rajendran, Jacqueline R.M. A. Maasch, Zehra Abedi, Haotan Zhang, Zilong Bai, Anthony Cuturrufo, Winston Guo, Fayzan F. Chaudhry, Gregory Ghahramani, Jian Tang, Feixiong Cheng, Yue Li, Rui Zhang, Steven T. DeKosky, Jiang Bian, Fei Wang
Publikováno v:
iScience, Vol 26, Iss 4, Pp 106460- (2023)
Summary: The abundance of biomedical knowledge gained from biological experiments and clinical practices is an invaluable resource for biomedicine. The emerging biomedical knowledge graphs (BKGs) provide an efficient and effective way to manage the a
Externí odkaz:
https://doaj.org/article/a540dcaf6ba642e2b4274b073c6cf5a8
Publikováno v:
bioRxiv
The advent of single-cell multi-omics sequencing technology makes it possible for researchers to leverage multiple modalities for individual cells and explore cell heterogeneity. However, the high dimensional, discrete, and sparse nature of the data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cf40d2ff1408f1d19c3a00e22c17050
https://europepmc.org/articles/PMC9915637/
https://europepmc.org/articles/PMC9915637/
Publikováno v:
Genome Res
Transcription factors (TFs) are the vocabulary that genomes use to regulate gene expression and phenotypes. The interactions among TFs enrich this vocabulary and orchestrate diverse biological processes. Although simple models identify open chromatin
Publikováno v:
ICASSP
Identification of cell subclasses using single-cell RNA-Sequencing (scRNA-Seq) data is of paramount importance since it uncovers the hidden biological processes within the cell population. While the nonnegative matrix factorization (NMF) model has be