Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tianjun Wei"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Jujube (Ziziphus jujuba Mill.) is a valuable tree species with economic, edible, medicinal, and ecological conservation benefits. In this study, we used PacBio HiFi sequencing and Hi-C technology to assemble chromosome-level genomes of two c
Externí odkaz:
https://doaj.org/article/0c6f9f5cc6a34945a203cb0c6c925ce7
Autor:
Wei Wei, Jingya Xu, Fei Xia, Jun Liu, Zekai Zhang, Jing Wu, Tianjun Wei, Huijun Feng, Qiang Ma, Feng Jiang, Xiangming Zhu, Xia Zhang
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectivesTo construct deep learning-assisted diagnosis models based on automatic segmentation of ultrasound images to facilitate radiologists in differentiating benign and malignant parotid tumors.MethodsA total of 582 patients histopathologically d
Externí odkaz:
https://doaj.org/article/0365d95b9c454e6a822d75b47b7b4ac0
Autor:
Tianjun Wei, Xiangming Zhu
Publikováno v:
Journal of Bioenergetics and Biomembranes. 53:429-440
Annexin A10 (ANXA10) is a member of annexin A and has been reported to highly express in papillary thyroid carcinoma (PTC) tissues. Tumor susceptibility gene 101 (TSG101) also plays a role in PTC and is predicted to bind to ANXA10. This study intende
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8351c27184d89be72c1cec54c46923d
https://doi.org/10.1007/s10863-021-09902-7
https://doi.org/10.1007/s10863-021-09902-7
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 157
Existing works in recommender system have widely explored extracting reviews as explanations beyond user-item interactions, and formulated the explanation generation as a ranking task to enhance item recommendation performance. To associate explanati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89c1bbe14c1c9bf51d2c5357ca075f33
https://pubmed.ncbi.nlm.nih.gov/36343482
https://pubmed.ncbi.nlm.nih.gov/36343482
Publikováno v:
IEEE transactions on neural networks and learning systems.
The rapid development of Internet services and social platforms encourages users to share their opinions. To help users give valuable comments, content providers expect the recommender system to offer appropriate suggestions, including specific featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58d861b2e9c66d49f429a63e086c9bd9
https://pubmed.ncbi.nlm.nih.gov/35552138
https://pubmed.ncbi.nlm.nih.gov/35552138
Collaborative filtering (CF) is widely searched in recommendation with various types of solutions. Recent success of Graph Convolution Networks (GCN) in CF demonstrates the effectiveness of modeling high-order relationships through graphs, while repe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbbe74592110fa1e65880a2caed271e2
Publikováno v:
Tree Genetics & Genomes. 12
The Chinese jujube (Ziziphus jujuba Mill., 2n = 2 × = 24), one of the most popular fruit trees in China, is widely cultivated and utilized in Asia. High-density genetic linkage maps are valuable resources for molecular breeding and functional genomi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf9433e85a9d397fe7b1a369f8a1e305
https://doi.org/10.1007/s11295-016-1032-9
https://doi.org/10.1007/s11295-016-1032-9
The Reversed-Phase HPLC of Dispersing Agent NNO And Determination of Molecular Weight Distributions.
Publikováno v:
Journal of Dispersion Science & Technology; Jan1988, Vol. 9 Issue 4, p363-669, 307p
Publikováno v:
Journal of Solution Chemistry. 15:743-748
The concept of mean asociation number (MAN) has been proposed to describe the association state of an electrolyte. Both the mean spherical approximation (MSA) and the generalized mean spherical approximation (GMSA) are used to calculate the MAN. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b6d6f42e30baa92797e46f4c8f8d0dd
https://doi.org/10.1007/bf00646715
https://doi.org/10.1007/bf00646715