Výsledky vyhledávání - "Wang Yinglei"

Akademický článek

The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma

Autor: Wan Zhengqiang, Wang Yinglei, Li Cheng, Zheng Dongbing

Publikováno v: Open Life Sciences, Vol 18, Iss 1, Pp 545241-73 (2023)

Bladder urothelial carcinoma (BLCA) is the most common malignant tumor of the urinary tract with a high lethality rate, and its immunotherapy resistance and tumor recurrence have become a major challenge in its clinical treatment. G Protein-Coupled R

Externí odkaz: https://doaj.org/article/1af92d20e8b2459bb1ab5772a013b965

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Akademický článek

Single-cell transcription analysis reveals the tumor origin and heterogeneity of human bilateral renal clear cell carcinoma

Autor: Wan Zhengqiang, Wang Yinglei, Li Aiqun, Li Cheng, Zheng Dongbing

Publikováno v: Open Life Sciences, Vol 18, Iss 1, Pp 860-7 (2023)

Bilateral renal clear cell carcinoma (BRCC) is a rare type of renal cell carcinoma (RCC) that accounts for only 1–5% of RCC cases and has a poor clinical prognosis. The origin, tumor microenvironment, cellular molecular features, and intra-tumoral

Externí odkaz: https://doaj.org/article/aa97c02919684938b3e338179b26c746

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Akademický článek

One-stage laparoscopy combined with resectoscope in the treatment of huge bladder diverticulum, multiple stones in diverticulum, multiple stones in bladder and benign prostatic hyperplasia: A case report

Autor: Wan Zhengqiang, Wang Yinglei, Li Cheng, Zheng Dongbing

Publikováno v: Frontiers in Medicine, Vol 9 (2022)

BackgroundBladder diverticulum is due to the abnormal arrangement of congenital bladder wall muscle fibers, weak limitations, combined with lower urinary tract obstruction, increased intravesical pressure, and protruding between the self-separated de

Externí odkaz: https://doaj.org/article/e89691adae8f470eab0614c495d8842e

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Report

Real Spike: Learning Real-valued Spikes for Spiking Neural Networks

Autor: Guo, Yufei, Zhang, Liwen, Chen, Yuanpei, Tong, Xinyi, Liu, Xiaode, Wang, YingLei, Huang, Xuhui, Ma, Zhe

Brain-inspired spiking neural networks (SNNs) have recently drawn more and more attention due to their event-driven and energy-efficient characteristics. The integration of storage and computation paradigm on neuromorphic hardwares makes SNNs much di

Externí odkaz: http://arxiv.org/abs/2210.06686