Search results for: Zizhen Liang

Items from 1 to 6 out of 6 results

article

Recent advances in plant endomembrane research and new microscopical techniques

Yonglun Zeng, Zizhen Liang, Zhiqi Liu, Baiying Li, more

The endomembrane system consists of various membrane‐bound organelles including the endoplasmic reticulum (ER), Golgi apparatus, trans‐Golgi network (TGN), endosomes, and the lysosome/vacuole. Membrane trafficking between distinct compartments is mainly achieved by vesicular transport. As the endomembrane compartments and the machineries regulating the membrane trafficking are largely conserved across...

article

Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network

Yang Guo, Zhiman Zhong, Chen Yang, Jiangfeng Hu, more

BMC Bioinformatics > 2019 > 20 > 1 > 1-18

Background Mining epistatic loci which affects specific phenotypic traits is an important research issue in the field of biology. Bayesian network (BN) is a graphical model which can express the relationship between genetic loci and phenotype. Until now, it has been widely used into epistasis mining in many research work. However, this method has two disadvantages: low learning efficiency and easy...

article

Electron tomography of plant organelles and the outlook for correlative microscopic approaches

Pengfei Wang, Zizhen Liang, Byung‐Ho Kang

New Phytologist > 223 > 4 > 1756 - 1761

Summary Structural analyses of organelles and localization of proteins in their confines are essential to investigate inner workings of eukaryotic cells. Electron tomography (ET) is a three‐dimensional electron microscopy method with which we can extract sliced views of organelles from any direction and quantify their structural parameters at nanometer‐level resolution. This advanced electron microscopy...

article

An improved constraint-based Bayesian network learning method using Gaussian kernel probability density estimator

Yaling Jiang, Zizhen Liang, Hui Gao, Yang Guo, more

Expert Systems with Applications > 2018 > 113 > C > 544-554

Bayesian network has powerful expression and reasoning ability of uncertainty knowledge. At present, it is widely used in many fields, such as fault diagnosis, medical diagnosis and prediction, financial analysis and prediction, decision support, etc. How to construct the Bayesian network effectively is an important research problem in the area of data mining. The constraint-based learning algorithm...

article

Nuclear Pore Permeabilization Is a Convergent Signaling Event in Effector-Triggered Immunity

Yangnan Gu, Sophia G. Zebell, Zizhen Liang, Shui Wang, more

Cell > 2016 > 166 > 6 > 1526-1538.e11

Nuclear transport of immune receptors, signal transducers, and transcription factors is an essential regulatory mechanism for immune activation. Whether and how this process is regulated at the level of the nuclear pore complex (NPC) remains unclear. Here, we report that CPR5, which plays a key inhibitory role in effector-triggered immunity (ETI) and programmed cell death (PCD) in plants, is a novel...

article

New Lignans and Their Biological Activities

Jia Zhang, Jiejun Chen, Zizhen Liang, Changqi Zhao

Chemistry & Biodiversity > 11 > 1 > 1 - 54

Lignans, which are widely distributed in higher plants, represent a vast and rather diverse group of phenylpropane derivatives. They have attracted considerable attention due to their pharmacological activities. Some of the lignans have been developed approved therapeutics, and others are considered as lead structures for new drugs. This article is based on our previous review of lignans discovered...

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BAYESIAN NETWORK (2)
ADVANCED MICROSCOPIC TECHNIQUES (1)
ALARM (1)
BIOLOGICAL ACTIVITY (1)
CHROMATIN (1)
CONSTRAINT-BASED STRUCTURE LEARNING (1)
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ENDOMEMBRANE COMPARTMENTS (1)
ENDOMEMBRANE TRAFFICKING (1)
EPISTASIS (1)
FLUORESCENCE MICROSCOPY (1)
GENETIC ALGORITHM (1)
HIGH‐PRESSURE FREEZING (1)
LIGNANS (1)
MUTUAL INFORMATION (1)
NEOLIGNANS (1)
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ORGANELLE BIOGENESIS (1)
PLANT CELL BIOLOGY (1)
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INFONA - science communication portal

Search results for: Zizhen Liang

Recent advances in plant endomembrane research and new microscopical techniques

Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network

Electron tomography of plant organelles and the outlook for correlative microscopic approaches

An improved constraint-based Bayesian network learning method using Gaussian kernel probability density estimator

Nuclear Pore Permeabilization Is a Convergent Signaling Event in Effector-Triggered Immunity

New Lignans and Their Biological Activities

Filter options

Publication date

Keywords

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Journal

INFONA - science communication portal

Search results for: Zizhen Liang

Recent advances in plant endomembrane research and new microscopical techniques

Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network

Electron tomography of plant organelles and the outlook for correlative microscopic approaches

An improved constraint-based Bayesian network learning method using Gaussian kernel probability density estimator

Nuclear Pore Permeabilization Is a Convergent Signaling Event in Effector-Triggered Immunity

New Lignans and Their Biological Activities

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