Search Results - "Luo, Huaien"

Transcriptomic analyses of sexual dimorphism of the zebrafish liver and the effect of sex hormones by Zheng, Weiling, Xu, Hongyan, Lam, Siew Hong, Luo, Huaien, Karuturi, R Krishna Murthy, Gong, Zhiyuan

“…The liver is one of the most sex-dimorphic organs in both oviparous and viviparous animals. In order to understand the molecular basis of the difference…”
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Analysis of fMRI Data With Drift: Modified General Linear Model and Bayesian Estimator by Luo, Huaien, Puthusserypady $^\ast$, Sadasivan

“…The slowly varying drift poses a major problem in the analysis of functional magnetic resonance imaging (fMRI) data. In this paper, based on the observation…”
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Estimation of the Hemodynamic Response of fMRI Data Using RBF Neural Network by Luo, Huaien, Puthusserypady, Sadasivan

“…Functional magnetic resonance imaging (fMRI) is an important technique for neuroimaging. The conventional system identification methods used in fMRI data…”
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fMRI Data Analysis With Nonstationary Noise Models: A Bayesian Approach by Luo, Huaien, Puthusserypady, Sadasivan

“…The assumption of noise stationarity in the functional magnetic resonance imaging (fMRI) data analysis may lead to the loss of crucial dynamic features of the…”
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Transcriptomic analysis of a transgenic zebrafish hepatocellular carcinoma model reveals a prominent role of immune responses in tumour progression and regression by Li, Zhen, Luo, Huaien, Li, Caixia, Huo, Xiaojing, Yan, Chuan, Huang, Xiaoqian, Al‐Haddawi, Muthafar, Mathavan, Sinnakaruppan, Gong, Zhiyuan

“…Using our previously established xmrk transgenic zebrafish, hepatocellular carcinoma (HCC) was generated by induced expression of xmrk, which encoded a…”
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Adaptive spatiotemporal modelling and estimation of the event-related fMRI responses by Luo, Huaien, Puthusserypady, Sadasivan

“…Functional magnetic resonance imaging (fMRI) data analysis is a challenging problem due to the underlying physiological complexity of the brain and the…”
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Genome-wide estimation of firing efficiencies of origins of DNA replication from time-course copy number variation data by Luo, Huaien, Li, Juntao, Eshaghi, Majid, Liu, Jianhua, Karuturi, R Krishna Murthy

“…DNA replication is a fundamental biological process during S phase of cell division. It is initiated from several hundreds of origins along whole chromosome…”
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A sparse Bayesian method for determination of flexible design matrix for fMRI data analysis by Huaien Luo, Puthusserypady, S.

“…The construction of a design matrix is critical to the accurate detection of activation regions of the brain in functional magnetic resonance imaging (fMRI)…”
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The importance of study design for detecting differentially abundant features in high-throughput experiments by Luo, Huaien, Li, Juntao, Chia, Burton Kuan Hui, Robson, Paul, Nagarajan, Niranjan

“…High-throughput assays, such as RNA-seq, to detect differential abundance are widely used. Variable performance across statistical tests, normalizations, and…”
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A Uniform Host Protocol Framework Planning to Change by Tian Chen, Liu Wenyu, Wang Yi, Huaien Luo

“…As a substantial foundation of the Internet, traditional layered host protocol stack is found to be a framework "not planning to change". This framework is…”
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NARX Neural Networks for Dynamical Modelling of fMRI Data by Huaien Luo, Puthusserypady, S.

“…Functional magnetic resonance imaging (fMRI) is an important technique to study the human brain (the most complex biological dynamical system) functions which…”
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Spatio-temporal modeling and analysis of fMRI data using NARX neural network by Luo, Huaien, Puthusserypady, Sadasivan

“…This paper presents spatio-temporal modeling and analysis methods to fMRI data. Based on the nonlinear autoregressive with exogenous inputs (NARX) model…”
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Bayesian radial basis function network for modeling fMRI data by Luo Huaien, Puthusserypady, S.

“…Noisy and nonlinear nature make fMRI signal processing a challenging problem. We proposed and analyzed the Bayesian trained radial basis function (RBF) neural…”
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Bayesian radial basis function network for modeling fMRI data by Huaien, Luo, Puthusserypady, Sadasivan

“…Noisy and nonlinear nature make fMRI signal processing a challenging problem. We proposed and analyzed the Bayesian trained radial basis function (RBF) neural…”
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