Tian-Li Wang

According to our database1, Tian-Li Wang authored at least 12 papers between 2007 and 2021.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
IntAPT: integrated assembly of phenotype-specific transcripts from multiple RNA-seq profiles.
Bioinform., 2021

2018
SparseIso: a novel Bayesian approach to identify alternatively spliced isoforms from RNA-seq data.
Bioinform., 2018

CRNET: an efficient sampling approach to infer functional regulatory networks by integrating large-scale ChIP-seq and time-course RNA-seq data.
Bioinform., 2018

2016
Known-Key Attacks on Type-2 GFN with SPS Round Function.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

2014
An Effective Group Communications in Hybrid VANET.
Proceedings of the Intelligent Systems and Applications, 2014

2012
Integrative Network Analysis to Identify Aberrant Pathway Networks in Ovarian Cancer.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

Detecting aberrant signal transduction pathways from high-throughput data using GIST algorithm.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

2011
GIST: A Gibbs sampler to identify intracellular signal transduction pathways.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Analysing DNA copy number changes using Fused Margin Regression.
Int. J. Funct. Informatics Pers. Medicine, 2010

2009
Biomarker identification by knowledge-driven multilevel ICA and motif analysis.
Int. J. Data Min. Bioinform., 2009

Analyzing DNA Copy Number Changes Using Fused Margin Regression.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2007
Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007


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