Piyushkumar A. Mundra

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 3

Top Topics

Gene Regulatory Networks

Interacting Proteins

Support Vectors

Sparse Regression

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Xinnan Dai, Fan Xu, Shike Wang, Piyushkumar A. Mundra, Jie Zheng
PIKE-R2P: Protein-protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction. BMC Bioinform. (6) (2021)
Haifen Chen, D. A. K. Maduranga, Piyushkumar A. Mundra, Jie Zheng
Bayesian Data Fusion of Gene Expression and Histone Modification Profiles for Inference of Gene Regulatory Network. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Piyushkumar A. Mundra, Jagath C. Rajapakse
Gene and sample selection using T-score with sample selection. J. Biomed. Informatics 59 (2016)
Haifen Chen, Piyushkumar A. Mundra, Li Na Zhao, Feng Lin, Jie Zheng
Highly sensitive inference of time-delayed gene regulation by network deconvolution. BMC Syst. Biol. 8 (S-4) (2014)
Piyushkumar A. Mundra, Jagath C. Rajapakse, D. A. K. Maduranga
Simultaneous Sample and Gene Selection Using T-score and Approximate Support Vectors. PRIB (2013)
D. A. K. Maduranga, Jie Zheng, Piyushkumar A. Mundra, Jagath C. Rajapakse
Inferring Gene Regulatory Networks from Time-Series Expressions Using Random Forests Ensemble. PRIB (2013)
Jagath C. Rajapakse, Piyushkumar A. Mundra
Multiclass Gene Selection Using Pareto-Fronts. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (1) (2013)
Piyushkumar A. Mundra, Jie Zheng, Mahesan Niranjan, Roy E. Welsch, Jagath C. Rajapakse
Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression. ISBRA (2013)
Haifen Chen, D. A. K. Maduranga, Piyushkumar A. Mundra, Jie Zheng
Integrating epigenetic prior in dynamic Bayesian network for gene regulatory network inference. CIBCB (2013)
Jagath C. Rajapakse, Piyushkumar A. Mundra
Stability of building gene regulatory networks with sparse autoregressive models. BMC Bioinform. 12 (S-13) (2011)
Song Liu, Piyushkumar A. Mundra, Jagath C. Rajapakse
Features for cells and nuclei classification. EMBC (2011)
Piyushkumar A. Mundra, Jagath C. Rajapakse
Gene and sample selection for cancer classification with support vectors based t-statistic. Neurocomputing 73 (13-15) (2010)
Piyushkumar A. Mundra, Jagath C. Rajapakse
Support vectors based correlation coefficient for gene and sample selection in cancer classification. CIBCB (2010)
Piyushkumar A. Mundra, Jagath C. Rajapakse
F-score with Pareto Front Analysis for Multiclass Gene Selection. EvoBIO (2009)
Piyushkumar A. Mundra, Jagath C. Rajapakse
Support Vector Based T-Score for Gene Ranking. PRIB (2008)
Piyushkumar A. Mundra, Jagath C. Rajapakse
SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection. PRIB (2007)
Piyushkumar A. Mundra, Madhan Kumar, K. Krishna Kumar, Valadi K. Jayaraman, Bhaskar D. Kulkarni
Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM. Pattern Recognit. Lett. 28 (13) (2007)