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peer reviewed journals


10. P Praveen, et al.; A community-based challenge for building predictive models of gene essentialities over a large-scale functional screen of cancer cell lines, Nature Biotechnology(Submitted).
Abstract

9. P Praveen, R. Kuner, H. Sultman, H. Fröhlich; Cross-talk between AMPK and EGFR dependent Signaling in Non-Small Cell Lung Cancer,Nature Scientific Reports , 2016 Jun 9;6:27514. doi: 10.1038/srep27514. PubMed PMID: 27279498. Abstract

8. P.Praveen et al.; Alzheimer's Disease Neuroimaging Initiative - Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimers Dement. 2016 Apr 11. pii: S1552-5260(16)00081-9. doi: 10.1016/j.jalz.2016.02.006. [Epub ahead of print] PubMed PMID: 27079753. Abstract

7. P. Praveen, F. Jordan, C. Priami, MJ Morine; The role of breast-feeding in infant immune system: a systems perspective on the intestinal micro biome, Microbiome,. 2015 Sep 24;3:41. doi: 10.1186/s40168-015-0104-7. PubMed PMID: 26399409; PubMed Central PMCID: PMC4581423 Abstract

6. P. Praveen, H. Fröhlich; PriorNet: R package to compute consensus probabilistic prior for networks from multiple knowledge sources,Bioinformatics (To be submitted), Abstract

5. F. Jordan, M. Scotti, M. Lauria, T. Nguyen, P. Praveen , M. Morine, C. Priami; Diversity of key players in the microbial ecosystems of the human body, Nature Scientific Reports (Submitted), 2015 Oct 30;5:15920. doi: 10.1038/srep15920. PubMed PMID: 26514870; PubMed Central PMCID: PMC4626846. Abstract

4. P. Praveen , H. Fröhlich; Boosting Probabilistic Graphical Model Inference by Incorporating Prior Knowledge from Multiple Sources , PloS One, 8(6): e67410 , Abstract

3(#). H. Failmezger, P. Praveen, A. Trech, H. Fröhlich; Learning Gene Network Structure from Time Laps Cell Imaging in RNAi Knock-Downs, Bioinformatics, , Abstract

2. H. Fröhlich, P. Praveen , A.Tresch; Fast and Efficient Dynamic Nested Effects Models, Bioinformatics, 2011 Jan 15; 27(2) : 238-44. Abstract

1. P. Praveen , E. Younesi, M. Hofmann-Apitius; Modeling inter-species molecular cross-talks in three host- parasite systems by expansion of their sparse information space, , Pre-publication manuscript, Abstract

conferences



3(*). P. Praveen , H. Fröhlich; Constructing informative prior from multiple knowledge sources to improve network inference, 10th Annual Rocky Mountain Bioinformatics Conference, Aspen, CO (USA), December 2012 (Talk and Poster). Abstract

2(* ). P. Praveen , H. Fröhlich; Boosting Statistical Network Inference by Incorporating Prior Knowledge from Multiple Sources, European Conference on Computational Biology 2012, also in satellite Conferences: ESCS 2012 and MSLB 2012 Basel (SWITZERLAND), October 2012 (Talk and Poster). Abstract

1. H. Fröhlich, P. Praveen , A. Tresch; Fast and Efficient Dynamic Nested Effects Models, ISMB/ECCB European Conference on Computational Biology 2011, Highlight Paper, Viena (AUSTRIA), July 2011 (Talk by Prof. Dr. H. Fröhlich). Abstract

posters


6(* ). S. Rizzeto, P. Praveen , M. Lauria, C.Priami; Integrative learning of gene essentiality using data and knowledge with cluster specific models, RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges and Cytoscape Workshops, San Diego, CA (USA), November 2014. Abstract

5(* ). P. Praveen , H. Fröhlich; Constructing informative prior from multiple knowledge sources to improve network inference, 10th Annual Rocky Mountain Bioinformatics Conference, Aspen, CO (USA), December 2012. Abstract

4. P. Praveen , E. Younesi, M. Hofmann-Apitius; Modelling three protozoan parasitic diseases using host-parasite protein-protein interaction networks, 10th Annual Rocky Mountain Bioinformatics Conference, Aspen, CO (USA), December 2012. Abstract

3(* ). P. Praveen , H. Fröhlich; Boosting Statistical Network Inference by Incorporating Prior Knowledge from Multiple Sources, European Conference on Computational Biology 2012, also in satellite Conferences: ESCS 2012 and MSLB 2012 Basel (SWITZERLAND), October 2012. Abstract

2. P. Praveen , A. Tresch, H. Fröhlich; Fast and Efficient Dynamic Nested Effects Models, ISMB/ECCB European Conference on Computational Biology 2011, Viena (AUSTRIA), July 2011 Abstract

1. P. Praveen , A. Tresch, H. Fröhlich; Efficient learning of signaling networks from perturbation time series via dynamic nested effects models, European Conference on Computational Biology 2010, Gent (BELGIUM), September 2010 Abstract


* Award winning presentations
# As equal first author





Book Description

Bioinformatics is an interdisciplinary field that develops and improves upon the methods for storing, retrieving, organizing, and analyzing biological data. The book, explains how to analyze biological data using R, allowing you to infer new knowledge from your data coming from different types of experiments stretching from microarray to NGS and mass spectrometry."