Zobrazeno 1 - 10
of 234
pro vyhledávání: '"Zheng Shurong"'
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 56, Pp 564-575 (2024)
Triple negative breast cancer (TNBC) has a high recurrence rate, metastasis rate and mortality rate. The aim of this study is to identify new targets for the treatment of TNBC. Clinical samples are used for screening deubiquitinating enzymes (DUBs).
Externí odkaz:
https://doaj.org/article/46c316c9f589455b9d194618ccfb2219
Publikováno v:
E3S Web of Conferences, Vol 536, p 02001 (2024)
The increasingly complex issues associated with climate change and environmental degradation have generated significant urgency for the international community to overcrowding sustainable energy alternatives. The validation of energy potential calcul
Externí odkaz:
https://doaj.org/article/ff2c3db0ca7e48dfbbe08b95312249f3
High-dimensional sample correlation matrices are a crucial class of random matrices in multivariate statistical analysis. The central limit theorem (CLT) provides a theoretical foundation for statistical inference. In this paper, assuming that the da
Externí odkaz:
http://arxiv.org/abs/2408.09173
Continuous normalizing flows (CNFs) are a generative method for learning probability distributions, which is based on ordinary differential equations. This method has shown remarkable empirical success across various applications, including large-sca
Externí odkaz:
http://arxiv.org/abs/2404.00551
Large-scale matrix data has been widely discovered and continuously studied in various fields recently. Considering the multi-level factor structure and utilizing the matrix structure, we propose a multilevel matrix factor model with both global and
Externí odkaz:
http://arxiv.org/abs/2310.13911
Estimation of the high-dimensional banded covariance matrix is widely used in multivariate statistical analysis. To ensure the validity of estimation, we aim to test the hypothesis that the covariance matrix is banded with a certain bandwidth under t
Externí odkaz:
http://arxiv.org/abs/2204.11155
Genetic prediction of complex traits and diseases has attracted enormous attention in precision medicine, mainly because it has the potential to translate discoveries from genome-wide association studies (GWAS) into medical advances. As the high dime
Externí odkaz:
http://arxiv.org/abs/2203.12003
Autor:
Zheng, Shurong, Dai, Guangyao, Xue, Qimei, Liang, Ruiqi, Zhu, Wancheng, Wang, Changhao, Chen, Yashao
Publikováno v:
In Surface & Coatings Technology 15 March 2024 479
This paper proposes a general two directional simultaneous inference (TOSI) framework for high-dimensional models with a manifest variable or latent variable structure, for example, high-dimensional mean models, high-dimensional sparse regression mod
Externí odkaz:
http://arxiv.org/abs/2012.11100
We consider general high-dimensional spiked sample covariance models and show that their leading sample spiked eigenvalues and their linear spectral statistics are asymptotically independent when the sample size and dimension are proportional to each
Externí odkaz:
http://arxiv.org/abs/2009.11010