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2020 – today
- 2023
[i18]Sarwan Ali, Prakash Chourasia, Murray Patterson:
Anderson Acceleration For Bioinformatics-Based Machine Learning. CoRR abs/2302.00347 (2023)- [i17]Prakash Chourasia, Taslim Murad, Zahra Tayebi, Sarwan Ali, Imdadullah Khan, Murray Patterson:
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning. CoRR abs/2302.08688 (2023) - [i16]Taslim Murad, Sarwan Ali, Murray Patterson:
Exploring The Potential Of GANs In Biological Sequence Analysis. CoRR abs/2303.02421 (2023) - 2022
- [j20]Kaustubh Khandai, Cristian Navarro-Martinez, Brendan Smith, Rebecca Buonopane, S. Ashley Byun, Murray Patterson
:
Determining Significant Correlation Between Pairs of Extant Characters in a Small Parsimony Framework. J. Comput. Biol. 29(10): 1132-1154 (2022) - [j19]Sarwan Ali, Yijing Zhou, Murray Patterson:
Efficient analysis of COVID-19 clinical data using machine learning models. Medical Biol. Eng. Comput. 60(7): 1881-1896 (2022) - [c19]Prakash Chourasia, Sarwan Ali, Murray Patterson:
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. Big Data 2022: 101-106 - [c18]Sarwan Ali, Taslim Murad, Prakash Chourasia, Murray Patterson:
Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning. BigDataService 2022: 81-88 - [i15]Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, Murray Patterson:
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences. CoRR abs/2201.02273 (2022) - [i14]Sarwan Ali, Bikram Sahoo, Alexander Zelikovskiy, Pin-Yu Chen, Murray Patterson:
Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification. CoRR abs/2207.08898 (2022) - [i13]Sarwan Ali, Bikram Sahoo, Muhammad Asad Khan, Alexander Zelikovsky, Imdadullah Khan, Murray Patterson:
Efficient Approximate Kernel Based Spike Sequence Classification. CoRR abs/2209.04952 (2022) - [i12]Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson:
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. CoRR abs/2211.08267 (2022) - [i11]Prakash Chourasia, Sarwan Ali, Murray Patterson:
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. CoRR abs/2211.09263 (2022) - 2021
- [j18]Zahra Tayebi, Sarwan Ali, Murray Patterson:
Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants. Algorithms 14(12): 348 (2021) - [j17]Simone Ciccolella, Camir Ricketts, Mauricio Soto Gomez, Murray Patterson, Dana Silverbush, Paola Bonizzoni, Iman Hajirasouliha, Gianluca Della Vedova:
Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses. Bioinform. 37(3): 326-333 (2021) - [j16]Andrew Melnyk, Fatemeh Mohebbi, Sergey Knyazev, Bikram Sahoo, Roya Hosseini, Pavel Skums, Alex Zelikovsky, Murray Patterson:
From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering. J. Comput. Biol. 28(11): 1113-1129 (2021) - [j15]Sarwan Ali, Simone Ciccolella, Lorenzo Lucarella, Gianluca Della Vedova, Murray Patterson:
Simpler and Faster Development of Tumor Phylogeny Pipelines. J. Comput. Biol. 28(11): 1142-1155 (2021) - [j14]Simone Ciccolella, Murray Patterson, Paola Bonizzoni, Gianluca Della Vedova:
Effective Clustering for Single Cell Sequencing Cancer Data. IEEE J. Biomed. Health Informatics 25(11): 4068-4078 (2021) - [c17]Sarwan Ali, Murray Patterson:
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences. IEEE BigData 2021: 1533-1540 - [c16]Sarwan Ali, Bikram Sahoo, Naimat Ullah, Alexander Zelikovskiy, Murray Patterson, Imdadullah Khan:
A k-mer Based Approach for SARS-CoV-2 Variant Identification. ISBRA 2021: 153-164 - [c15]Brendan Smith, Cristian Navarro-Martinez, Rebecca Buonopane, S. Ashley Byun, Murray Patterson:
Correlated Evolution in the Small Parsimony Framework. ISBRA 2021: 608-619 - [i10]Sarwan Ali, Bikram Sahoo, Naimat Ullah, Alexander Zelikovskiy, Murray Patterson, Imdadullah Khan:
A k-mer Based Approach for SARS-CoV-2 Variant Identification. CoRR abs/2108.03465 (2021) - [i9]Sarwan Ali, Tamkanat E. Ali, Muhammad Asad Khan, Imdadullah Khan, Murray Patterson:
Effective and scalable clustering of SARS-CoV-2 sequences. CoRR abs/2108.08143 (2021) - [i8]Sarwan Ali, Murray Patterson:
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences. CoRR abs/2109.05019 (2021) - [i7]Sarwan Ali, Babatunde Bello, Murray Patterson:
Classifying COVID-19 Spike Sequences from Geographic Location Using Deep Learning. CoRR abs/2110.00809 (2021) - [i6]Sarwan Ali, Yijing Zhou, Murray Patterson:
Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models. CoRR abs/2110.09606 (2021) - [i5]Zahra Tayebi, Sarwan Ali, Murray Patterson:
Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants. CoRR abs/2110.09622 (2021) - 2020
- [j13]Simone Ciccolella, Mauricio Soto Gomez, Murray D. Patterson, Gianluca Della Vedova, Iman Hajirasouliha, Paola Bonizzoni:
gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data. BMC Bioinform. 21-S(1): 413 (2020) - [c14]Andrew Melnyk, Fatemeh Mohebbi, Sergey Knyazev, Bikram Sahoo, Roya Hosseini, Pavel Skums, Alex Zelikovsky, Murray Patterson:
Clustering Based Identification of SARS-CoV-2 Subtypes. ICCABS 2020: 127-141
2010 – 2019
- 2019
- [j12]Raffaella Rizzi, Stefano Beretta, Murray Patterson, Yuri Pirola, Marco Previtali, Gianluca Della Vedova, Paola Bonizzoni:
Overlap graphs and de Bruijn graphs: data structures for de novo genome assembly in the big data era. Quant. Biol. 7(4): 278-292 (2019) - [c13]Simone Ciccolella, Murray D. Patterson, Paola Bonizzoni, Gianluca Della Vedova:
Effective Clustering for Single Cell Sequencing Cancer Data. BCB 2019: 437-446 - [c12]Giulia Bernardini, Paola Bonizzoni, Gianluca Della Vedova, Murray Patterson:
A Rearrangement Distance for Fully-Labelled Trees. CPM 2019: 28:1-28:15 - [i4]Giulia Bernardini, Paola Bonizzoni, Gianluca Della Vedova, Murray Patterson:
A rearrangement distance for fully-labelled trees. CoRR abs/1904.01321 (2019) - 2018
- [j11]Stefano Beretta, Murray Patterson, Simone Zaccaria, Gianluca Della Vedova, Paola Bonizzoni:
HapCHAT: adaptive haplotype assembly for efficiently leveraging high coverage in long reads. BMC Bioinform. 19(1): 252:1-252:19 (2018) - [c11]Simone Ciccolella, Mauricio Soto Gomez, Murray Patterson, Gianluca Della Vedova, Iman Hajirasouliha, Paola Bonizzoni:
gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data. ICCABS 2018: 1 - 2017
- [c10]Gianluca Della Vedova, Murray Patterson, Raffaella Rizzi, Mauricio Soto Gomez:
Character-Based Phylogeny Construction and Its Application to Tumor Evolution. CiE 2017: 3-13 - 2016
- [j10]Andrea Bracciali, Marco Aldinucci, Murray Patterson, Tobias Marschall, Nadia Pisanti, Ivan Merelli, Massimo Torquati:
PWHATSHAP: efficient haplotyping for future generation sequencing. BMC Bioinform. 17(S-11): 342 (2016) - 2015
- [j9]Murray Patterson, Tobias Marschall, Nadia Pisanti, Leo van Iersel, Leen Stougie, Gunnar W. Klau, Alexander Schönhuth:
WhatsHap: Weighted Haplotype Assembly for Future-Generation Sequencing Reads. J. Comput. Biol. 22(6): 498-509 (2015) - 2014
- [c9]Marco Aldinucci, Andrea Bracciali, Tobias Marschall, Murray Patterson, Nadia Pisanti, Massimo Torquati:
High-Performance Haplotype Assembly. CIBB 2014: 245-258 - [c8]Murray Patterson, Tobias Marschall, Nadia Pisanti, Leo van Iersel, Leen Stougie, Gunnar W. Klau, Alexander Schönhuth:
WhatsHap: Haplotype Assembly for Future-Generation Sequencing Reads. RECOMB 2014: 237-249 - 2013
- [j8]Mohammed El-Kebir, Tobias Marschall, Inken Wohlers, Murray Patterson, Jaap Heringa, Alexander Schönhuth, Gunnar W. Klau:
Mapping proteins in the presence of paralogs using units of coevolution. BMC Bioinform. 14(S-15): S18 (2013) - [j7]Murray Patterson, Gergely J. Szöllosi, Vincent Daubin, Eric Tannier:
Lateral gene transfer, rearrangement, reconciliation. BMC Bioinform. 14(S-15): S4 (2013) - [c7]Cédric Chauve, Murray Patterson, Ashok Rajaraman:
Hypergraph Covering Problems Motivated by Genome Assembly Questions. IWOCA 2013: 428-432 - [i3]Ján Manuch, Murray Patterson, Roland Wittler, Cédric Chauve, Eric Tannier:
Linearization of ancestral multichromosomal genomes. CTW 2013: 169-173 - [i2]Cédric Chauve, Murray Patterson, Ashok Rajaraman:
Hypergraph covering problems motivated by genome assembly questions. CoRR abs/1306.4353 (2013) - 2012
- [j6]Ján Manuch, Murray Patterson, Roland Wittler, Cédric Chauve, Eric Tannier:
Linearization of ancestral multichromosomal genomes. BMC Bioinform. 13(S-19): S11 (2012) - [j5]Ján Manuch, Murray Patterson, Cédric Chauve:
Hardness results on the gapped consecutive-ones property problem. Discret. Appl. Math. 160(18): 2760-2768 (2012) - 2011
- [j4]Roland Wittler, Ján Manuch, Murray Patterson, Jens Stoye:
Consistency of Sequence-Based Gene Clusters. J. Comput. Biol. 18(9): 1023-1039 (2011) - [j3]Ján Manuch, Murray Patterson:
The Complexity of the Gapped Consecutive-Ones Property Problem for Matrices of Bounded Maximum Degree. J. Comput. Biol. 18(9): 1243-1253 (2011) - [c6]Cédric Chauve, Ján Manuch, Murray Patterson, Roland Wittler:
Tractability Results for the Consecutive-Ones Property with Multiplicity. CPM 2011: 90-103 - [c5]Ján Manuch, Murray Patterson, Arvind Gupta:
Towards a Characterisation of the Generalised Cladistic Character Compatibility Problem for Non-branching Character Trees. ISBRA 2011: 440-451 - 2010
- [c4]Ján Manuch, Murray Patterson, Sheung-Hung Poon, Chris Thachuk:
Complexity of Finding Non-Planar Rectilinear Drawings of Graphs. GD 2010: 305-316 - [c3]Ján Manuch, Murray Patterson:
The Complexity of the Gapped Consecutive-Ones Property Problem for Matrices of Bounded Maximum Degree. RECOMB-CG 2010: 278-289
2000 – 2009
- 2009
- [j2]Cédric Chauve, Ján Manuch, Murray Patterson:
On the Gapped Consecutive-Ones Property. Electron. Notes Discret. Math. 34: 121-125 (2009) - [c2]Ján Manuch, Murray Patterson, Arvind Gupta:
On the Generalised Character Compatibility Problem for Non-branching Character Trees. COCOON 2009: 268-276 - [i1]Cédric Chauve, Ján Manuch, Murray Patterson:
Hardness Results for the Gapped Consecutive-Ones Property. CoRR abs/0912.0309 (2009) - 2007
- [c1]Murray Patterson, Yongmei Liu, Eugenia Ternovska, Arvind Gupta:
Grounding for Model Expansion in k-Guarded Formulas with Inductive Definitions. IJCAI 2007: 161-166 - 2003
- [j1]Thomas Bruckner, Robbie Morrison, Chris Handley, Murray Patterson:
High-Resolution Modeling of Energy-Services Supply Systems Using deeco: Overview and Application to Policy Development. Ann. Oper. Res. 121(1-4): 151-180 (2003)
Coauthor Index
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last updated on 2023-03-25 00:11 CET by the dblp team
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