Mi-Xiao Hou

发表

ILC Reference Design Report: ILC Global Design Effort and World Wide Study

Christophe Royon, Alexander Mikhailichenko, Jian Cheng, 2007 .

Application of a Deep Matrix Factorization Model on Integrated Gene Expression Data

Mi-Xiao Hou, Jin-Xing Liu, Yong-Jing Hao, 2020, Current Bioinformatics.

Robust and Efficient Biomolecular Clustering of Tumor Based on ${p}$ -Norm Singular Value Decomposition

C. Zheng, Mi-Xiao Hou, Jin-Xing Liu, 2017, IEEE Transactions on NanoBioscience.

Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data

Juan Wang, Shasha Yuan, Jin-Xing Liu, 2018, ICIC.

Network analysis based on low-rank method for mining information on integrated data of multi-cancers

Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, 2019, Comput. Biol. Chem..

A p-norm singular value decomposition method for robust tumor clustering

Yao Lu, Xiangzhen Kong, Chun-Hou Zheng, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A new method for mining information of co-expression network based on multi-cancers integrated data

Jin-Xing Liu, Ying-Lian Gao, Junliang Shang, 2019, BMC Medical Genomics.

Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection

Jin-Xing Liu, Ying-Lian Gao, Yong-Jing Hao, 2019, Complex..

Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes

Jiguo Yu, Chun-Hou Zheng, Jin-Xing Liu, 2017, Complex..

PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data

Ling-Yun Dai, Yong Xu, Jun-Liang Shang, 2019, BMC Bioinformatics.

ILC Reference Design Report Volume 4 - Detectors

Joshua R. Smith, A. M. Guler, G. P. Yeh, 2007 .

A New Model of Identifying Differentially Expressed Genes via Weighted Network Analysis Based on Dimensionality Reduction Method

Jin-Xing Liu, Ying-Lian Gao, Jin-Xing Liu, 2019 .

An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis

Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, 2019, IEEE Access.

Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples

Rong Zhu, Shasha Yuan, Jin-Xing Liu, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, ICIC.

An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis

Jin-Xing Liu, Yong-Jing Hao, Mi-Xiao Hou, 2019, IDMB.