Zengyou He

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A graph-traversal approach to identify influential nodes in a network.

[BibT_eX]

[DOI]

Patterns, 2021

Instance-Based Classification Through Hypothesis Testing.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Protein Complexes Identification with Family-Wise Error Rate Control.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Computing exact P-values for community detection.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2020

Reference-Based Sequence Classification.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Reinforce: An Ensemble Approach for Inferring PPI Network from AP-MS Data.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

面向PCP-MS数据的PPI网络推断算法 (PPI Network Inference Algorithm for PCP-MS Data).

[BibT_eX]

[DOI]

Zheng Chen

Bo Tian

计算机科学, 2019

Mining conditional discriminative sequential patterns.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Significance-based discriminative sequential pattern mining.

[BibT_eX]

[DOI]

Simeng Zhang

Jun Wu

Expert Syst. Appl., 2019

Correlation-Based Community Detection.

[BibT_eX]

[DOI]

CoRR, 2019

2018

On the statistical significance of protein complex.

[BibT_eX]

[DOI]

Quant. Biol., 2018

Detecting Statistically Significant Communities.

[BibT_eX]

[DOI]

CoRR, 2018

Protein complexes identification based on go attributed network embedding.

[BibT_eX]

[DOI]

BMC Bioinform., 2018

PCM: A Pairwise Correlation Mining Package for Biological Network Inference.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

RPML: A Learning-Based Approach for Reranking Protein-Spectrum Matches.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Conditional discriminative pattern mining: Concepts and algorithms.

[BibT_eX]

[DOI]

Inf. Sci., 2017

A two-step framework for inferring direct protein-protein interaction network from AP-MS data.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2017

2016

Computing exact permutation p-values for association rules.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Protein inference: A protein quantification perspective.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2016

2015

BagReg: Protein inference through machine learning.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2015

Network inference from AP-MS data: computational challenges and solutions.

[BibT_eX]

[DOI]

Briefings Bioinform., 2015

Discriminative pattern mining and its applications in bioinformatics.

[BibT_eX]

[DOI]

Briefings Bioinform., 2015

High Dimensional Explicit Feature Biased Matrix Factorization Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

A Semi-Supervised Framework for Social Spammer Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Mining Conditional Phosphorylation Motifs.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Decoy-free protein-level false discovery rate estimation.

[BibT_eX]

[DOI]

Ben Teng

Bioinform., 2014

Data construction for phosphorylation site prediction.

[BibT_eX]

[DOI]

Briefings Bioinform., 2014

2013

A Combinatorial Perspective of the Protein Inference Problem.

[BibT_eX]

[DOI]

Chao Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2013

2012

Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

On unbiased performance evaluation for protein inference

[BibT_eX]

[DOI]

Peijun Zhu

CoRR, 2012

Protein Inference and Protein Quantification: Two Sides of the Same Coin

[BibT_eX]

[DOI]

Peijun Zhu

CoRR, 2012

A linear programming model for protein inference problem in shotgun proteomics.

[BibT_eX]

[DOI]

Bioinform., 2012

Comments on 'MMFPh: A Maximal Motif Finder for Phosphoproteomics Datasets'.

[BibT_eX]

[DOI]

Haipeng Gong

Bioinform., 2012

Protein inference: a review.

[BibT_eX]

[DOI]

Briefings Bioinform., 2012

2011

A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data.

[BibT_eX]

[DOI]

Can Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Clustering categorical data streams.

[BibT_eX]

[DOI]

J. Comput. Methods Sci. Eng., 2011

Attribute value weighting in k-modes clustering.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2011

The choice of null distributions for detecting gene-gene interactions in genome-wide association studies.

[BibT_eX]

[DOI]

BMC Bioinform., 2011

Score regularization for peptide identification.

[BibT_eX]

[DOI]

Hongyu Zhao

BMC Bioinform., 2011

Motif-All: discovering all phosphorylation motifs.

[BibT_eX]

[DOI]

BMC Bioinform., 2011

2010

G-ANMI: A mutual information based genetic clustering algorithm for categorical data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2010

Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification.

[BibT_eX]

[DOI]

J. Comput. Biol., 2010

Efficient K-Nearest Neighbor Join Algorithms for High Dimensional Sparse Data

[BibT_eX]

[DOI]

CoRR, 2010

Stable feature selection for biomarker discovery.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2010

2009

Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis.

[BibT_eX]

[DOI]

Chao Yang

BMC Bioinform., 2009

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies.

[BibT_eX]

[DOI]

Bioinform., 2009

Improving peptide identification with single-stage mass spectrum peaks.

[BibT_eX]

[DOI]

Bioinform., 2009

Dynamic Self-configuration of User QoS for Next Generation Network.

[BibT_eX]

[DOI]

Proceedings of the NPC 2009, 2009

2008

k-ANMI: A mutual information based clustering algorithm for categorical data.

[BibT_eX]

[DOI]

Inf. Fusion, 2008

A SCOR Reference Model of the Supply Chain Management System in an Enterprise.

[BibT_eX]

[DOI]

Int. Arab J. Inf. Technol., 2008

Peak bagging for peptide mass fingerprinting.

[BibT_eX]

[DOI]

Can Yang

Bioinform., 2008

2007

On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2007

K-means Clustering - A Survey.

[BibT_eX]

Proceedings of the 2007 International Conference on Information & Knowledge Engineering, 2007

2006

Mining top-k strongly correlated item pairs without minimum correlation threshold.

[BibT_eX]

[DOI]

Int. J. Knowl. Based Intell. Eng. Syst., 2006

Farthest-Point Heuristic based Initialization Methods for K-Modes Clustering

[BibT_eX]

[DOI]

CoRR, 2006

Approximation Algorithms for K-Modes Clustering

[BibT_eX]

[DOI]

CoRR, 2006

Improving categorical data clustering algorithm by weighting uncommon attribute value matches.

[BibT_eX]

[DOI]

Comput. Sci. Inf. Syst., 2006

A Fast Greedy Algorithm for Outlier Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Approximation Algorithms for <i>K</i>-Modes Clustering.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence, 2006

2005

TCSOM: Clustering Transactions Using Self-Organizing Map.

[BibT_eX]

[DOI]

Neural Process. Lett., 2005

A cluster ensemble method for clustering categorical data.

[BibT_eX]

[DOI]

Inf. Fusion, 2005

Scalable algorithms for clustering large datasets with mixed type attributes.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2005

Mining action rules from scratch.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2005

K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset

[BibT_eX]

[DOI]

CoRR, 2005

Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach

[BibT_eX]

[DOI]

CoRR, 2005

A Fast Greedy Algorithm for Outlier Mining

[BibT_eX]

[DOI]

CoRR, 2005

A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces

[BibT_eX]

[DOI]

CoRR, 2005

Mining Top-k Approximate Frequent Patterns

[BibT_eX]

[DOI]

CoRR, 2005

Data Mining for Actionable Knowledge: A Survey

[BibT_eX]

[DOI]

CoRR, 2005

FP-outlier: Frequent pattern based outlier detection.

[BibT_eX]

[DOI]

Comput. Sci. Inf. Syst., 2005

A Unified Subspace Outlier Ensemble Framework for Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Web-Age Information Management, 2005

An Optimization Model for Outlier Detection in Categorical Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Computing, 2005

An FP-Tree Based Approach for Mining All Strongly Correlated Item Pairs.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence and Security, International Conference, 2005

Improving K-Modes Algorithm Considering Frequencies of Attribute Values in Mode.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004

Mining class outliers: concepts, algorithms and applications in CRM.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2004

A FP-Tree Based Approach for Mining All Strongly Correlated Pairs without Candidate Generation

[BibT_eX]

[DOI]

CoRR, 2004

A Link Clustering Based Approach for Clustering Categorical Data

[BibT_eX]

[DOI]

CoRR, 2004

Modeling Complex Higher Order Patterns

[BibT_eX]

[DOI]

CoRR, 2004

A Frequent Pattern Discovery Method for Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

Mining Class Outliers: Concepts, Algorithms and Applications.

[BibT_eX]

[DOI]

Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

2003

Discovering cluster-based local outliers.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2003

2002

Squeezer: An Efficient Algorithm for Clustering Categorical Data.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2002

Outlier Detection Integrating Semantic Knowledge.

[BibT_eX]

[DOI]