Piyushkumar A. Mundra

18 papers C 2Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
PIKE-R2P: Protein-protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction.
BMC Bioinform.
Xinnan Dai, Fan Xu, Shike Wang, Piyushkumar A. Mundra, Jie Zheng
2020 J jnl
Bayesian Data Fusion of Gene Expression and Histone Modification Profiles for Inference of Gene Regulatory Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
Haifen Chen, D. A. K. Maduranga, Piyushkumar A. Mundra, Jie Zheng
2016 J jnl
Gene and sample selection using T-score with sample selection.
J. Biomed. Informatics
Piyushkumar A. Mundra, Jagath C. Rajapakse
2014 J jnl
Highly sensitive inference of time-delayed gene regulation by network deconvolution.
BMC Syst. Biol.
Haifen Chen, Piyushkumar A. Mundra, Li Na Zhao, Feng Lin, Jie Zheng
2013 — conf
Inferring Gene Regulatory Networks from Time-Series Expressions Using Random Forests Ensemble.
PRIB
D. A. K. Maduranga, Jie Zheng, Piyushkumar A. Mundra, Jagath C. Rajapakse
2013 — conf
Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression.
ISBRA
Piyushkumar A. Mundra, Jie Zheng, Mahesan Niranjan, Roy E. Welsch, Jagath C. Rajapakse
2013 C conf
Integrating epigenetic prior in dynamic Bayesian network for gene regulatory network inference.
CIBCB
Haifen Chen, D. A. K. Maduranga, Piyushkumar A. Mundra, Jie Zheng
2013 J jnl
Multiclass Gene Selection Using Pareto-Fronts.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jagath C. Rajapakse, Piyushkumar A. Mundra
2013 — conf
Simultaneous Sample and Gene Selection Using T-score and Approximate Support Vectors.
PRIB
Piyushkumar A. Mundra, Jagath C. Rajapakse, D. A. K. Maduranga
2011 — conf
Features for cells and nuclei classification.
EMBC
Song Liu, Piyushkumar A. Mundra, Jagath C. Rajapakse
2011 — —
Gene and sample selection for cancer identification
Piyushkumar A. Mundra
2011 J jnl
Stability of building gene regulatory networks with sparse autoregressive models.
BMC Bioinform.
Jagath C. Rajapakse, Piyushkumar A. Mundra
2010 J jnl
Gene and sample selection for cancer classification with support vectors based t-statistic.
Neurocomputing
Piyushkumar A. Mundra, Jagath C. Rajapakse
2010 C conf
Support vectors based correlation coefficient for gene and sample selection in cancer classification.
CIBCB
Piyushkumar A. Mundra, Jagath C. Rajapakse
2009 — conf
F-score with Pareto Front Analysis for Multiclass Gene Selection.
EvoBIO
Piyushkumar A. Mundra, Jagath C. Rajapakse
2008 — conf
Support Vector Based T-Score for Gene Ranking.
PRIB
Piyushkumar A. Mundra, Jagath C. Rajapakse
2007 — conf
SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection.
PRIB
Piyushkumar A. Mundra, Jagath C. Rajapakse
2007 J jnl
Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM.
Pattern Recognit. Lett.
Piyushkumar A. Mundra, Madhan Kumar, K. Krishna Kumar, Valadi K. Jayaraman, Bhaskar D. Kulkarni