Zobrazeno 1 - 10
of 272
pro vyhledávání: '"KA-CHUN WONG"'
Autor:
Zhe Liu, Fang Liu, Olutomilayo Olayemi Petinrin, Muhammad Toseef, Nanjun Chen, Zhongxu Zhu, Ka-Chun Wong
Publikováno v:
Exploration of Medicine, Vol 5, Iss 6, Pp 750-773 (2024)
Aim: Lung cancer is the leading cause of cancer-related deaths worldwide. Non-small cell lung cancer (NSCLC) is the most common subtype. Despite recent advancements in diagnostics and therapies, only a small percentage of patients benefit from immuno
Externí odkaz:
https://doaj.org/article/cc50f3779b404fe28f8b72ccecb96a7b
Autor:
Zhe Liu, Olutomilayo Olayemi Petinrin, Nanjun Chen, Muhammad Toseef, Fang Liu, Zhongxu Zhu, Furong Qi, Ka-Chun Wong
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-28 (2024)
Abstract The ongoing COVID-19 pandemic, caused by the SARS-CoV-2 virus, represents one of the most significant global health crises in recent history. Despite extensive research into the immune mechanisms and therapeutic options for COVID-19, there r
Externí odkaz:
https://doaj.org/article/f471e66b5c524d748cda36e88dffcc73
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract Proteins and nucleic-acids are essential components of living organisms that interact in critical cellular processes. Accurate prediction of nucleic acid-binding residues in proteins can contribute to a better understanding of protein functi
Externí odkaz:
https://doaj.org/article/7fcae50dc2884d479affc7ebbed527d7
Autor:
Lei Huang, Tingyang Xu, Yang Yu, Peilin Zhao, Xingjian Chen, Jing Han, Zhi Xie, Hailong Li, Wenge Zhong, Ka-Chun Wong, Hengtong Zhang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Structure-based generative chemistry is essential in computer-aided drug discovery by exploring a vast chemical space to design ligands with high binding affinity for targets. However, traditional in silico methods are limited by computation
Externí odkaz:
https://doaj.org/article/d069f7e7892d451bafdf42d21076f3b3
Autor:
Linjing Liu, Ying Xiong, Zetian Zheng, Lei Huang, Jiangning Song, Qiuzhen Lin, Buzhou Tang, Ka-Chun Wong
Publikováno v:
iScience, Vol 27, Iss 7, Pp 110183- (2024)
Summary: Current studies in early cancer detection based on liquid biopsy data often rely on off-the-shelf models and face challenges with heterogeneous data, as well as manually designed data preprocessing pipelines with different parameter settings
Externí odkaz:
https://doaj.org/article/cc58a362f80c4d23a7bdff6edb011144
Autor:
Haoran Zhu, Yuning Yang, Yunhe Wang, Fuzhou Wang, Yujian Huang, Yi Chang, Ka-chun Wong, Xiangtao Li
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-22 (2023)
Abstract RNA-binding proteins play crucial roles in the regulation of gene expression, and understanding the interactions between RNAs and RBPs in distinct cellular conditions forms the basis for comprehending the underlying RNA function. However, cu
Externí odkaz:
https://doaj.org/article/5ecbd87616af4963a49821f5a4f534a8
Publikováno v:
Advanced Science, Vol 11, Iss 16, Pp n/a-n/a (2024)
Abstract Single‐cell RNA sequencing (scRNA‐seq) is a robust method for studying gene expression at the single‐cell level, but accurately quantifying genetic material is often hindered by limited mRNA capture, resulting in many missing expressio
Externí odkaz:
https://doaj.org/article/8db091e69fdc4cd8b0d18db7c34926b9
Autor:
Yuchen Wang, Xingjian Chen, Zetian Zheng, Lei Huang, Weidun Xie, Fuzhou Wang, Zhaolei Zhang, Ka-Chun Wong
Publikováno v:
iScience, Vol 27, Iss 4, Pp 109352- (2024)
Summary: Gene regulatory networks (GRNs) involve complex and multi-layer regulatory interactions between regulators and their target genes. Precise knowledge of GRNs is important in understanding cellular processes and molecular functions. Recent bre
Externí odkaz:
https://doaj.org/article/e36fa230db5544fcb874d616932f10db
Autor:
Fuzhou Wang, Hamid Alinejad‐Rokny, Jiecong Lin, Tingxiao Gao, Xingjian Chen, Zetian Zheng, Lingkuan Meng, Xiangtao Li, Ka‐Chun Wong
Publikováno v:
Advanced Science, Vol 10, Iss 33, Pp n/a-n/a (2023)
Abstract Single‐cell Hi‐C (scHi‐C) has made it possible to analyze chromatin organization at the single‐cell level. However, scHi‐C experiments generate inherently sparse data, which poses a challenge for loop calling methods. The existing
Externí odkaz:
https://doaj.org/article/f933729e4a8a4b3db973f60eaa529354
Autor:
Weidun Xie, Xingjian Chen, Zetian Zheng, Fuzhou Wang, Xiaowei Zhu, Qiuzhen Lin, Yanni Sun, Ka-Chun Wong
Publikováno v:
iScience, Vol 26, Iss 11, Pp 108197- (2023)
Summary: By soaking microRNAs (miRNAs), long non-coding RNAs (lncRNAs) have the potential to regulate gene expression. Few methods have been created based on this mechanism to anticipate the lncRNA-gene relationship prediction. Hence, we present lncR
Externí odkaz:
https://doaj.org/article/00bbde5554ee4d16b1aa446e4d66adab