Výsledky vyhledávání

Dissertation/ Thesis

Statistical methods for variant discovery and functional genomic analysis using next-generation sequencing data

Autor: Tang, Man

The development of high-throughput next-generation sequencing (NGS) techniques produces massive amount of data, allowing the identification of biomarkers in early disease diagnosis and driving the transformation of most disciplines in biology and med

Externí odkaz: http://hdl.handle.net/10919/104039

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Akademický článek

One-Pot Synthesis of Boron-Doped Polycyclic Aromatic Hydrocarbons via 1,4-Boron Migration

Autor: Zhang, Jin-Jiang, Tang, Man-Chung, Fu, Yubin, Low, Kam-Hung, Ma, Ji, Yang, Lin, Weigand, Jan J., Liu, Junzhi, Wing-Wah Yam, Vivian, Feng, Xinliang

Herein, we demonstrate a novel one-pot synthetic method towards a series of boron-doped polycyclic aromatic hydrocarbons (B-PAHs, 1 a–1 o), including hitherto unknown B-doped zethrene derivatives, from ortho-aryl substituted diarylalkynes with high

Externí odkaz: https://tud.qucosa.de/id/qucosa%3A91059
https://tud.qucosa.de/api/qucosa%3A91059/attachment/ATT-0/

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Akademický článek

Numerical simulation of ice accretion on helicopter rotor blades with trailing edge flap

Autor: Tang, Man, Cao, Yihua, Zhong, Guo

Publikováno v: Aircraft Engineering and Aerospace Technology, 2024, Vol. 96, Issue 9, pp. 1165-1171.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/AEAT-02-2024-0027

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Report

Estimation of the Directions for Unknown Parameters in Semiparametric Models

Autor: Han, Jinyue, Wang, Jun, Gao, Wei, Tang, Man-Lai

Semiparametric models are useful in econometrics, social sciences and medicine application. In this paper, a new estimator based on least square methods is proposed to estimate the direction of unknown parameters in semi-parametric models. The propos

Externí odkaz: http://arxiv.org/abs/2303.05131

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