Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Yukun Tan"'
Autor:
Shan He, Matthew M. Gubin, Hind Rafei, Rafet Basar, Merve Dede, Xianli Jiang, Qingnan Liang, Yukun Tan, Kunhee Kim, Maura L. Gillison, Katayoun Rezvani, Weiyi Peng, Cara Haymaker, Sharia Hernandez, Luisa M. Solis, Vakul Mohanty, Ken Chen
Publikováno v:
iScience, Vol 27, Iss 6, Pp 110096- (2024)
Summary: Recent developments in immunotherapy, including immune checkpoint blockade (ICB) and adoptive cell therapy (ACT), have encountered challenges such as immune-related adverse events and resistance, especially in solid tumors. To advance the fi
Externí odkaz:
https://doaj.org/article/857a54432adf43e68098a98661073bd8
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 7685-7710 (2021)
Mathematical models are widely recognized as an important tool for analyzing and understanding the dynamics of infectious disease outbreaks, predict their future trends, and evaluate public health intervention measures for disease control and elimina
Externí odkaz:
https://doaj.org/article/95326ea6d298413f9deb1de05bf51620
Autor:
Elaine Stur, Sara Corvigno, Mingchu Xu, Ken Chen, Yukun Tan, Sanghoon Lee, Jinsong Liu, Emily Ricco, Daniel Kraushaar, Patricia Castro, Jianhua Zhang, Anil K. Sood
Publikováno v:
iScience, Vol 25, Iss 3, Pp 103923- (2022)
Summary: Bulk and single-cell RNA sequencing do not provide full characterization of tissue spatial diversity in cancer samples, and currently available in situ techniques (multiplex immunohistochemistry and imaging mass cytometry) allow for only lim
Externí odkaz:
https://doaj.org/article/f156c190fe864ebc90ceacaf75fa177d
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19:1807-1816
We present PALLAS, a practical method for gene regulatory network (GRN) inference from time series data, which employs penalized maximum likelihood and particle swarms for optimization. PALLAS is based on the Partially-Observable Boolean Dynamical Sy
Autor:
Zhangjingyi Liu, Mohd Iskandar Bin Abd Malek, Nor Zalina Binti Harun, Nor Haslina Binti Ja`afar, Yangyang Song, Yukun Tang, Yuyan Lyu
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 0, Iss 0, Pp 1-18 (2024)
Streets are fundamental public spaces within urban environments, profoundly impacting public well-being through their visual quality. This study endeavors to construct a multiple linear regression model to explore the relationship between visual comp
Externí odkaz:
https://doaj.org/article/bff01404d98c4c9f9fc11d5b2643afd8
Publikováno v:
Journal of Bioinformatics and Systems Biology.
Autor:
Jinzhuang Dou, Yukun Tan, Kian Hong Kock, Jun Wang, Xuesen Cheng, Le Min Tan, Kyung Yeon Han, Chung Chau HON, Woong-Yang Park, Jay W Shin, Han Chen, Shyam Prabhakar, Nicholas Navin, Rui Chen, Ken Chen
Distinguishing how genetics impact cellular processes can improve our understanding of variable risk for diseases. Although single-cell omics have provided molecular characterization of cell types and states on diverse tissue samples, their genetic a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8881cdbb2fdb5d54afecd242d1537bd7
https://doi.org/10.1101/2022.12.04.519058
https://doi.org/10.1101/2022.12.04.519058
Autor:
Jiakai Hou, Shaoheng Liang, Chunyu Xu, Yanjun Wei, Yunfei Wang, Yukun Tan, Nidhi Sahni, Daniel J McGrail, Chantale Bernatchez, Michael Davies, Yumei Li, Rui Chen, S Stephen Yi, Yiwen Chen, Cassian Yee, Ken Chen, Weiyi Peng
Publikováno v:
NAR Cancer. 4
Genetic screens are widely exploited to develop novel therapeutic approaches for cancer treatment. With recent advances in single-cell technology, single-cell CRISPR screen (scCRISPR) platforms provide opportunities for target validation and mechanis
Autor:
Yuanxin Wang, Vakul Mohanty, Jinzhuang Dou, Shaoheng Liang, Qingnan Liang, Yukun Tan, Jin Li, Ziyi Li, Rui Chen, Ken Chen
Multi-cellular organism development involves orchestrated gene regulations of different cell types and cell states. Single-cell RNA-Seq, enable simultaneous observation of cells in various states, making it possible to study the underlying molecular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32057d0d1bbdc2e2857d59b290d835d5
https://doi.org/10.1101/2022.05.18.492572
https://doi.org/10.1101/2022.05.18.492572
Autor:
Deanna Glassman, Nicholas W. Bateman, Sanghoon Lee, Li Zhao, Jun Yao, Yukun Tan, Cristina Ivan, Kelly M. Rangel, Jianhua Zhang, Kelly A. Conrads, Brian L. Hood, Tamara Abulez, P. Andrew Futreal, Nicole D. Fleming, Vahid Afshar-Kharghan, George L. Maxwell, Thomas P. Conrads, Ken Chen, Anil K. Sood
Publikováno v:
Cancers; Volume 14; Issue 6; Pages: 1496
Background: The incidence of venous thromboembolism (VTE) in patients with ovarian cancer is higher than most solid tumors, ranging between 10–30%, and a diagnosis of VTE in this patient population is associated with worse oncologic outcomes. The t