Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Tianyun ZHANG"'
Autor:
Ningyuan You, Chang Liu, Yuxin Gu, Rong Wang, Hanying Jia, Tianyun Zhang, Song Jiang, Jinsong Shi, Ming Chen, Min-Xin Guan, Siqi Sun, Shanshan Pei, Zhihong Liu, Ning Shen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract We present SpliceTransformer (SpTransformer), a deep-learning framework that predicts tissue-specific RNA splicing alterations linked to human diseases based on genomic sequence. SpTransformer outperforms all previous methods on splicing pre
Externí odkaz:
https://doaj.org/article/94d9c9e7fee1441fbb93d3011b9920e8
Publikováno v:
Nano-Micro Letters, Vol 16, Iss 1, Pp 1-46 (2024)
Highlights Enhancing rate performance of cellulose-derived hard carbon anodes from the view of cellulose molecular, crystalline, and aggregation structure is explored. Relationship of storage sodium and rate performance according to theoretical calcu
Externí odkaz:
https://doaj.org/article/4cfa5d5b11f14670972f74064c2dbc4e
Autor:
Yansong Ren, Tianyun Zhang, Shuanjin Wang, Dongmei Han, Sheng Huang, Hui Guo, Min Xiao, Yuezhong Meng
Publikováno v:
Journal of CO2 Utilization, Vol 85, Iss , Pp 102853- (2024)
Although triblock polycarbonate thermoplastic elastomers (TPEs) have recently attracted great interests due to their biodegradability, insufficient attentions have been paid to improving the elastomeric properties. Through a tandem reaction strategy
Externí odkaz:
https://doaj.org/article/35a27c95a59247b59fd24f8aad5efdff
Publikováno v:
Materials Reports: Energy, Vol 4, Iss 2, Pp 100272- (2024)
Aqueous zinc metal batteries are regarded as the most promising energy storage system due to their advantages of high safety, low cost, and high theoretical capacity. However, the growth of dendrites and the occurrence of side reactions hinder the de
Externí odkaz:
https://doaj.org/article/1aedd1ff3885457396cfdcaf67143393
Autor:
Tianyun Zhang, Yun Chu, Yue Wang, Yu Wang, Jinyang Wang, Xiaoming Ji, Guoliang Zhang, Geming Shi, Rui Cui, Yunxiao Kang
Publikováno v:
Frontiers in Aging Neuroscience, Vol 16 (2024)
BackgroundRecent studies show testosterone (T) deficiency worsens cognitive impairment in Alzheimer’s disease (AD) patients. Mitochondrial dysfunction, as an early event of AD, is becoming critical hallmark of AD pathogenesis. However, currently, w
Externí odkaz:
https://doaj.org/article/95d0076bb04c4af2bec8354b674e5640
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 1, Pp 13-28 (2024)
In artificial intelligence (AI) based-complex power system management and control technology, one of the urgent tasks is to evaluate AI intelligence and invent a way of autonomous intelligence evolution. However, there is, currently, nearly no standa
Externí odkaz:
https://doaj.org/article/87ca8af92a2e43699f01cb14288dcc3a
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-19 (2024)
Abstract Identifying pathogenic variants from the vast majority of nucleotide variation remains a challenge. We present a method named Multimodal Annotation Generated Pathogenic Impact Evaluator (MAGPIE) that predicts the pathogenicity of multi-type
Externí odkaz:
https://doaj.org/article/673d085726624f2a9514061bd978ef8e
Autor:
Tianyun Zhang, Hanying Jia, Tairan Song, Lin Lv, Doga C. Gulhan, Haishuai Wang, Wei Guo, Ruibin Xi, Hongshan Guo, Ning Shen
Publikováno v:
Genome Medicine, Vol 15, Iss 1, Pp 1-18 (2023)
Abstract Identifying expressed somatic mutations from single-cell RNA sequencing data de novo is challenging but highly valuable. We propose RESA – Recurrently Expressed SNV Analysis, a computational framework to identify expressed somatic mutation
Externí odkaz:
https://doaj.org/article/ad06594af069403b885f96af7a6cbad2
Autor:
Lei Wu, Haishuai Wang, Yining Chen, Xiang Zhang, Tianyun Zhang, Ning Shen, Guangyu Tao, Zhongquan Sun, Yuan Ding, Weilin Wang, Jiajun Bu
Publikováno v:
iScience, Vol 26, Iss 11, Pp 108183- (2023)
Summary: Accurate detection of liver lesions from multi-phase contrast-enhanced CT (CECT) scans is a fundamental step for precise liver diagnosis and treatment. However, the analysis of multi-phase contexts is heavily challenged by the misalignment c
Externí odkaz:
https://doaj.org/article/7f76c3f26a6a4db0b8c6ccd25bf70b60
Publikováno v:
Green Energy and Intelligent Transportation, Vol 2, Iss 5, Pp 100125- (2023)
Deep learning-based intelligent vehicle perception has been developing prominently in recent years to provide a reliable source for motion planning and decision making in autonomous driving. A large number of powerful deep learning-based methods can
Externí odkaz:
https://doaj.org/article/188d8bd98c27440fa1582a53e8a4d92a