Publications







Google Scholar Page    ORCID Profile  

Google Scholar Page    ORCID Profile  


  • Differences in intracellular protein levels in monocytes and CD4+ lymphocytes between bipolar depressed patients and healthy controls: A pilot study with tyramine-based signal-amplified flow cytometry, Journal of Affective Disorders​, 2022.
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  • Divergent Directionality of Immune Cell-Specific Protein Expression between Bipolar Lithium Responders and Non-Responders Revealed by Enhanced Flow Cytometry, Medicina​, 2023.
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  • Alteration in tyrosine phosphorylation of cardiac proteome and EGFR pathway contribute to hypertrophic cardiomyopathy, Communications Biology​, 2022.
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  • Prediction of Kinase-Substrate Associations Using The Functional Landscape of Kinases and Phosphorylation Sites, PSB​, 2023.
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  • Functional Characterization of Co-phosphorylation Networks and Its Application In Cancer Subtyping, ISMB​, 2022.
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  • Proteomic Quantification of Site-Specific Interplay between O-GlcNAcylation and Phosphorylation in Diabetic Hearts, O-GlcNAc Regulation of Cellular Physiology & Pathophysiology Conference, ASBMB​, 2022.
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  • Functional characterization of co-phosphorylation networks, Bioinformatics, 2022.
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  • Deep Learning Model With Adaptive Regularization for EEG-Based Emotion Recognition Using Temporal and Frequency Features, IEEE Access, 2022.
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  • Protein Biomarkers in Monocytes and CD4+ Lymphocytes for Predicting Lithium Treatment Response of Bipolar Disorder: a Feasibility Study with Tyramine-Based Signal-Amplified Flow Cytometry., Psychopharmacology Bulletin, 2022.
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  • Deciphering the Role of Ion Channels in Early Defense Signaling against Herbivorous Insects., Cells, 2021.
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  • Robust inference of kinase activity using functional networks, Nature Communication, 2021. (Conference version at RECOMB 2021)
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  • Co-Phosphorylation Networks Reveal Subtype-Specific Signaling Modules in Breast Cancer, Bioinformatics, 2020.
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  • Co-phosphorylation networks and their application in predicting kinase-substrate associations and cancer subtyping, International Conference on Pathways, Networks, and Systems Medicine, 2019
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  • Co-phosphorylation networks. ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, 2019
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  • CoPhosK: A Method for Comprehensive Kinase Substrate Annotation Using Co-phosphorylation Analysis , PLoS Computational Biology, 2018.  
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  • ELF3 is an antagonist of oncogenic-signalling-induced expression of EMT-TF ZEB1, Cancer Biology and Therapy, 2018.
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  • Predicting kinase-substrate associations using patterns of co-phosphorylation", American Society of Mass Spectrometry, 2017
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  • Phospho-proteomics profiling of non-small cell lung cancer cells treated with a novel phosphatase activator Proteomics, 2017.
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  • PoCos: Population covering locus sets for risk assessment in complex diseases, PLoS Computational Biology, 2016.
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  • Assessing the collective disease association of multiple genomic loci, ACM-BCB'2015.
  • MOBAS: Identification of disease-associated protein subnetworks using modularity-based scoring. EURASIP J. Bioinformatics and Systems Biology, 2015.
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  • Prioritization of genomic locus pairs for testing epistasis ACM-BCB, 2014.
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  • What Do We Learn from Network-Based Analysis of Genome-Wide Association Data?, EvoBio'2014.
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  • Algorithms for detecting complementary SNPs within a region of interest that are associated with diseases, ACM-BCB, 2012.

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  • Two scenarios for overcoming drug resistance by co-targeting, International Journal of Bioinformatics Research and Applications, 2015
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  • Overcoming drug-resistance by co-targeting, The IEEE International Conference on Bioinformatics and Biomedicine, 2009.