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科研机构
安徽大学 [8]
数学与系统科学研究院 [1]
湖南城市学院 [1]
湖南大学 [1]
沈阳自动化研究所 [1]
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期刊论文 [11]
会议论文 [1]
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2018 [1]
2017 [2]
2016 [2]
2014 [1]
2013 [2]
2012 [1]
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Detection of Protein Complexes Based on Penalized Matrix Decomposition in a Sparse Protein(-)Protein Interaction Network.
期刊论文
Molecules (Basel, Switzerland), 2018, 卷号: 23, 期号: 6
作者:
Cao, Buwen*
;
Deng, Shuguang*
;
Qin, Hua
;
Ding, Pingjian
;
Chen, Shaopeng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/24
clustering
penalized matrix decomposition
protein complex
protein-protein interaction (PPI)
A Mixed-norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering
期刊论文
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 页码: 1
作者:
Chang-Gang Weng
;
Chun-Hou Zheng
;
Xiong-Zhen Kong
;
Juan Wang
;
Ya-Xuan Wang
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/04/22
Sparse
matrices
Tumors
Gene
expression
Matrix
decomposition
Laplace
equations
Feature
extraction
Bioinformatics
Gene
expression
data
Differentially
expressed
genes
Graph
regularization
Penalized
matrix
decomposition
Low-rank
representation
A joint-L-2,L-1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis
期刊论文
NEUROCOMPUTING, 2017, 卷号: Vol.228, 页码: 263-269
作者:
Zheng,Chun-Hou
;
Liu,Feng
;
Wang,Dong
;
Shang,Jun-Liang
;
Liu,Jin-Xing
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/22
PENALIZED MATRIX DECOMPOSITION
PRINCIPAL COMPONENT ANALYSIS
GENE-EXPRESSION DATA
DIFFERENTIAL EXPRESSION
PROTEIN INTERACTIONS
FACE RECOGNITION
SELECTION
NORMALIZATION
CLASSIFICATION
ALGORITHM
A Two-Stage Method to Identify Joint Modules From Matched MicroRNA and mRNA Expression Data
期刊论文
IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2016, 卷号: 15, 期号: 4, 页码: 362-370
作者:
Min, Wenwen
;
Liu, Juan
;
Luo, Fei
;
Zhang, Shihua
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2018/07/30
L-0-penalized singular value decomposition (L-0-SVD)
miRNA cluster
miRNA-gene joint module
multiple-output sparse group lasso
Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment
期刊论文
Science China Information Sciences, 2016, 卷号: 59, 期号: 5, 页码: 1-13
作者:
Chen XA(陈希爱)
;
Han Z(韩志)
;
Wang Y(王尧)
;
Tang YD(唐延东)
;
Yu HB(于海斌)
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2016/03/28
low-rank decomposition
nonconvex relaxation
quadratic penalized
batch image alignment
sparse or nonsparse noise
Differential Expression Analysis on RNA-Seq Count Data Based on Penalized Matrix Decomposition.
期刊论文
IEEE Transactions on NanoBioscience, 2014, 卷号: Vol.13 No.1, 页码: 12-18
作者:
You J.
;
Gao YL
;
Liu JX
;
Zheng CH
;
Xu Y
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/22
Deep
sequencing
RNA-seq
data
differential
expression
analysis
gene
selection
matrix
decomposition
Inferring transcriptional modules from microarray and ChIP-chip data using penalized matrix decomposition
期刊论文
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, 页码: 252-259
作者:
Zheng,Chun-Hou
;
Zhang,Jun
;
Sun,Zhan-Li
;
Sha,Wen
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/22
Robust PCA based method for discovering differentially expressed genes
期刊论文
BMC Bioinformatics, 2013, 卷号: Vol.14 No.8
作者:
Zheng,Chun-Hou
;
Mi,Jian-Xun
;
Wang,Yu-Tian
;
Sha,Wen
;
Liu,Jin-Xing
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/04/22
PRINCIPAL COMPONENT ANALYSIS
PENALIZED MATRIX DECOMPOSITION
TUMOR
FACTORIZATION
INFORMATION
ONTOLOGY
ARRAYS
SET
Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition
期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2012, 卷号: Vol.42 No.5, 页码: 582-589
作者:
Zheng,CH
;
Liu,JX
;
Xu,Y
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/04/24
PRINCIPAL COMPONENT ANALYSIS
SINGULAR-VALUE DECOMPOSITION
ARABIDOPSIS-THALIANA
ABSCISIC-ACID
TRANSCRIPTION FACTORS
NEGATIVE REGULATOR
DROUGHT TOLERANCE
COLD-ACCLIMATION
MICROARRAY DATA
EXPRESSION DATA
Molecular Pattern Discovery based on Penalized Matrix Decomposition
期刊论文
IEEE/ACM Trans Comput Biol Bioinform, 2011, 卷号: Vol.8
作者:
Zheng,CH
;
Ng,VTY
;
Huang,DS
;
Zhang,L
;
Shiu,SCK
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/04/22
GENE-EXPRESSION DATA
DIFFERENTIATION PATHWAYS
CLASSIFICATION
TUMOR
FACTORIZATION
PREDICTION
NETWORKS
CANCER
CELLS
ALGORITHM
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