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24 results on '"Fu Yihao"'

1. Secrets on the rock: analysis and discussion of the Dunde Bulaq rock art site

Author

Fu Yihao, Chai Yue, Wang Jun, Liu Cheng, Zhang Xiaoyu, Li Lu, Zhuoya Baheti, and Peng Jinye

Subjects
Rock art, Dunde Bulaq, Chemurchek culture, Hyperspectral image analysis, Fine Arts, Analytical chemistry, QD71-142
Abstract

Abstract The Altay Prefecture in Xinjiang Uyghur Autonomous Region, China, boasts an abundance source of rock art, with the Dunde Bulaq rock art complex holding paramount significance in the study of local culture. This work employs hyperspectral techniques for data collection and analysis of the Dunde Bulaq I rock art site. Signal decomposition, pigment classification/clustering, and spectral curve analysis were employed to delve deeply into the information of the rock art hyperspectral data. Furthermore, cross-validation was utilized to reveal hidden information within rock art. To comprehend these hidden information, a more profound historical tracing was conducted, employing methods such as literature retrieval and image analysis, uncovering the internal relationship between the site I and the Chemurchek culture. This provides fresh material for studying the Bronze Age cultures within the Altai region.

Published
2024
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6. Subtype-specific 3D genome alteration in acute myeloid leukaemia

Author

Xu, Jie, Song, Fan, Lyu, Huijue, Kobayashi, Mikoto, Zhang, Baozhen, Zhao, Ziyu, Hou, Ye, Wang, Xiaotao, Luan, Yu, Jia, Bei, Stasiak, Lena, Wong, Josiah Hiu-yuen, Wang, Qixuan, Jin, Qi, Jin, Qiushi, Fu, Yihao, Yang, Hongbo, Hardison, Ross C., Dovat, Sinisa, Platanias, Leonidas C., Diao, Yarui, Yang, Yue, Yamada, Tomoko, Viny, Aaron D., Levine, Ross L., Claxton, David, Broach, James. R., Zheng, Hong, and Yue, Feng

Published
2022
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16. Abstract 2953: Subtype-specific and structure variation induced 3D genome alteration in acute myeloid leukemia

Author

Xu, Jie, primary, Song, Fan, additional, Zhang, Baozhen, additional, Lyu, Huijue, additional, Kobayashi, Mikoto, additional, Zhao, Ziyu, additional, Hou, Ye, additional, Wang, Xiaotao, additional, Luan, Yu, additional, Jia, Bei, additional, Stasiak, Lena, additional, Wang, Qixuan, additional, Jin, Qi, additional, Jin, Qiushi, additional, Fu, Yihao, additional, Hardison, Ross C., additional, Dovat, Sinisa, additional, Platanias, Leonidas C., additional, Yang, Yue, additional, Yamada, Tomoko, additional, Viny, Aaron D., additional, Levine, Ross L., additional, Claxton, David F., additional, Broach, James R., additional, Zheng, Hong, additional, and Yue, Feng, additional

Published
2022
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18. A new life prediction method of Intelligent meters based on adaptive weighting coefficients

Author

Li Zhipeng, Fu Yihao, Xue Shengjuan, Fang Xu, Wang Jun, and Zou Jinlin

Subjects
History, Adaptive weighting, Computer science, Mean squared prediction error, Failure data, Failure rate, computer.software_genre, Computer Science Applications, Education, Statistical analysis, Stage (hydrology), Data mining, computer, Weibull distribution
Abstract

In order to achieve the purpose of predicting the batch life index of intelligent meters in using, this paper analyzes the history failure data of the products, comprehensively considers the stresses such as temperature and humidity, then proposes an improved Weibull distribution statistical analysis method based on adaptive weighting coefficient, which is applied to the batch life prediction of intelligent meters. The prediction error of stage failure rate is less than 0.0002 fit.

Published
2020

23. EagleC Explorer: A desktop application for interactively detecting and visualizing SVs and enhancer hijacking on Hi-C contact maps.

Author

Fu Y, Wang X, and Yue F

Abstract

It has been shown that Hi-C can be used as a powerful tool to detect structural variations (SVs) and enhancer hijacking events. However, there has been no existing programs that can directly visualize and detect such events on a personal computer, which hinders the broad adaption of the technology for intuitive discovery in cancer studies. Here, we introduce the EagleC Explorer, a desktop software that is specifically designed for exploring Hi-C and other chromatin contact data in cancer genomes. EagleC Explorer has a set of unique features, including 1) conveniently visualizing global and local Hi-C data; 2) interactively detecting SVs on a Hi-C map for any user-selected region on screen within seconds, using a deep-learning model; 3) reconstructing local Hi-C map surrounding user-provided SVs and generating publication-quality figures; 4) detecting enhancer hijacking events for any user-suggested regions on screen. In addition, EagleC Explorer can also incorporate other genomic tracks such as RNA-Seq or ChIP-Seq to facilitate scientists for integrative data analysis and making novel discoveries.

Published
2023
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24. Enhancer Coamplification and Hijacking Promote Oncogene Expression in Liposarcoma.

Author

Liu T, Wang J, Yang H, Jin Q, Wang X, Fu Y, Luan Y, Wang Q, Youngblood MW, Lu X, Casadei L, Pollock R, and Yue F

Subjects
Humans, Enhancer Elements, Genetic, Oncogenes, Liposarcoma
Abstract

Significance: Comprehensive profiling of the enhancer landscape and 3D genome structure in liposarcoma identifies extensive enhancer-oncogene coamplification and enhancer hijacking events, deepening the understanding of how oncogenes are regulated in cancer., (©2023 The Authors; Published by the American Association for Cancer Research.)

Published
2023
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