Suping Deng

According to our database1, Suping Deng authored at least 13 papers between 2013 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2017
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications.
Neurocomputing, 2017

2016
ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Understanding tissue-specificity with human tissue-specific regulatory networks.
Sci. China Inf. Sci., 2016

2015
An integrated strategy for functional analysis of microbial communities based on gene ontology and 16S rRNA gene.
Int. J. Data Min. Bioinform., 2015

2014
Predicting dynamic deformation of retaining structure by LSSVR-based time series method.
Neurocomputing, 2014

Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set.
BMC Bioinform., 2014

A two-stage geometric method for detecting unreliable links in protein-protein networks.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features.
BMC Bioinform., 2013

A SVM-Based System for Predicting Protein-Protein Interactions Using a Novel Representation of Protein Sequences.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

An Integrated Method for Functional Analysis of Microbial Communities by Gene Ontology Based on 16S miRNA Gene.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

SFAPS: An R package for structure/function analysis of protein sequences based on informational spectrum method.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013


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