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Dan F. DeBlasio
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- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (former): University of Arizona, Tucson, USA
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2020 – today
- 2024
- [j15]Maria-Florina Balcan
, Dan F. DeBlasio
How Much Data Is Sufficient to Learn High-Performing Algorithms? J. ACM 71(5): 32:1-32:58 (2024) - [j14]Guillaume Marçais
Sketching Methods with Small Window Guarantee Using Minimum Decycling Sets. J. Comput. Biol. 31(7): 597-615 (2024) - 2023
- [i2]Guillaume Marçais, Dan F. DeBlasio, Carl Kingsford:
Sketching methods with small window guarantee using minimum decycling sets. CoRR abs/2311.03592 (2023) - 2021
- [c9]Maria-Florina Balcan, Dan F. DeBlasio
How much data is sufficient to learn high-performing algorithms? generalization guarantees for data-driven algorithm design. STOC 2021: 919-932 - 2020
- [j13]Dan F. DeBlasio, Kwanho Kim
More Accurate Transcript Assembly via Parameter Advising. J. Comput. Biol. 27(8): 1181-1189 (2020)
2010 – 2019
- 2019
- [j12]Guillaume Marçais, Dan F. DeBlasio, Prashant Pandey, Carl Kingsford:
Locality-sensitive hashing for the edit distance. Bioinform. 35(14): i127-i135 (2019) - [c8]Dan F. DeBlasio
Practical Universal k-mer Sets for Minimizer Schemes. BCB 2019: 167-176 - [i1]Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How much data is sufficient to learn high-performing algorithms? CoRR abs/1908.02894 (2019) - 2018
- [j11]Guillaume Marçais, Dan F. DeBlasio, Carl Kingsford:
Asymptotically optimal minimizers schemes. Bioinform. 34(13): i13-i22 (2018) - [j10]Mehedi Hassan, Aishwarya Alex Namasivayam, Dan F. DeBlasio, Nazeefa Fatima
Reflections on a journey: a retrospective of the ISCB Student Council symposium series. BMC Bioinform. 19-S(12): 347:1-347:8 (2018) - [j9]Dan F. DeBlasio
Adaptive Local Realignment of Protein Sequences. J. Comput. Biol. 25(7): 780-793 (2018) - [j8]Anupama Jigisha, Margherita Francescatto
The ISCB Student Council Internship Program: Expanding computational biology capacity worldwide. PLoS Comput. Biol. 14(1) (2018) - 2017
- [b2]Dan F. DeBlasio
Parameter Advising for Multiple Sequence Alignment. Computational Biology 26, Springer 2017, ISBN 978-3-319-64917-7, pp. 1-142 - [j7]Dan F. DeBlasio
Core column prediction for protein multiple sequence alignments. Algorithms Mol. Biol. 12(1): 11:1-11:16 (2017) - [j6]Dan F. DeBlasio
Learning Parameter-Advising Sets for Multiple Sequence Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1028-1041 (2017) - [c7]Dan F. DeBlasio, John D. Kececioglu:
Boosting Alignment Accuracy by Adaptive Local Realignment. RECOMB 2017: 1-17 - 2016
- [b1]Dan F. DeBlasio:
Parameter Advising for Multiple Sequence Alignment. University of Arizona, Tucson, USA, 2016 - [j5]Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob B. Jespersen
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. BMC Bioinform. 17(S-3) (2016) - [c6]Dan F. DeBlasio, John D. Kececioglu:
Adaptive Local Realignment via Parameter Advising. BCB 2016: 510-511 - [c5]Dan F. DeBlasio, John D. Kececioglu:
Predicting Core Columns of Protein Multiple Sequence Alignments for Improved Parameter Advising. WABI 2016: 77-89 - 2015
- [j4]Farzana Rahman, Katie Wilkins, Annika Jacobsen, Alexander Junge, Esmeralda Vicedo, Dan F. DeBlasio
Highlights from the tenth ISCB Student Council Symposium 2014. BMC Bioinform. 16(S-2): A1 (2015) - [j3]Dan F. DeBlasio
Parameter advising for multiple sequence alignment. BMC Bioinform. 16(S-2): A3 (2015) - [c4]Dan F. DeBlasio
Ensemble multiple sequence alignment via advising. BCB 2015: 452-461 - 2014
- [c3]Dan F. DeBlasio
Learning parameter sets for alignment advising. BCB 2014: 230-239 - 2013
- [j2]John D. Kececioglu, Dan F. DeBlasio
Accuracy Estimation and Parameter Advising for Protein Multiple Sequence Alignment. J. Comput. Biol. 20(4): 259-279 (2013) - 2012
- [j1]Daniel DeBlasio
A Memory Efficient Method for Structure-Based RNA Multiple Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 9(1): 1-11 (2012) - [c2]Dan F. DeBlasio
Estimating the Accuracy of Multiple Alignments and its Use in Parameter Advising. RECOMB 2012: 45-59
2000 – 2009
- 2009
- [c1]Daniel DeBlasio
PMFastR: A New Approach to Multiple RNA Structure Alignment. WABI 2009: 49-61
Coauthor Index
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