Sahar Al Seesi, Ph.D. - Publications
Affiliations: | 2010 | University of Connecticut, Storrs, CT, United States |
Area:
Computer Science, Bioinformatics BiologyYear | Citation | Score | |||
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2014 | Al Seesi S, Tiagueu YT, Zelikovsky A, Măndoiu II. Bootstrap-based differential gene expression analysis for RNA-Seq data with and without replicates. Bmc Genomics. 15: S2. PMID 25435284 DOI: 10.1186/1471-2164-15-S8-S2 | 0.467 | |||
2014 | Mangul S, Caciula A, Al Seesi S, Brinza D, Mӑndoiu I, Zelikovsky A. Transcriptome assembly and quantification from Ion Torrent RNA-Seq data. Bmc Genomics. 15: S7. PMID 25082147 DOI: 10.1186/1471-2164-15-S5-S7 | 0.543 | |||
2012 | Mangul S, Caciula A, Al Seesi S, Brinza D, Banday AR, Kanadia R. An Integer Programming approach to novel transcript reconstruction from paired-end RNA-Seq reads 2012 Acm Conference On Bioinformatics, Computational Biology and Biomedicine, Bcb 2012. 369-376. DOI: 10.1145/2382936.2382983 | 0.423 | |||
2012 | Al Seesi S, Mǎndoiu I. Workshop: Inference of allele specific expression levels from RNA-Seq data 2012 Ieee 2nd International Conference On Computational Advances in Bio and Medical Sciences, Iccabs 2012. DOI: 10.1109/ICCABS.2012.6182666 | 0.313 | |||
2010 | Rajasekaran S, Al Seesi S, Ammar RA. Improved algorithms for parsing ESLTAGs: a grammatical model suitable for RNA pseudoknots. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 7: 619-27. PMID 20498513 DOI: 10.1109/TCBB.2010.54 | 0.387 | |||
2009 | Al Seesi S, Rajasekaran S, Ammar R. RNA pseudoknot folding through inference and identification using TAG RNA Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5462: 90-101. DOI: 10.1007/978-3-642-00727-9_11 | 0.483 | |||
2008 | Al Seesi S, Rajasekaran S, Ammar R. Pseudoknot identification through learning TAGRNA Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5265: 132-143. DOI: 10.1007/978-3-540-88436-1-12 | 0.514 | |||
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