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Donna K. Slonim
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2020 – today
- 2022
- [c19]Aysegul Bumin, Anna M. Ritz, Donna K. Slonim, Tamer Kahveci, Kejun Huang:
FiT: fiber-based tensor completion for drug repurposing. BCB 2022: 31:1-31:10 - 2020
- [j16]Nadia El-Mabrouk, Donna K. Slonim:
ISMB 2020 proceedings. Bioinform. 36(Supplement-1): i1-i2 (2020) - [c18]Christopher Michael Pietras, Liam Power, Donna K. Slonim:
aTEMPO: Pathway-Specific Temporal Anomalies for Precision Therapeutics. PSB 2020: 683-694
2010 – 2019
- 2018
- [j15]Bjoern Peters, Steven E. Brenner, Edwin Wang, Donna K. Slonim, Maricel G. Kann:
Putting benchmarks in their rightful place: The heart of computational biology. PLoS Comput. Biol. 14(11) (2018) - [c17]Christopher Michael Pietras, Faith Ocitti, Donna K. Slonim:
TEMPO: Detecting Pathway-Specific Temporal Dysregulation of Gene Expression in Disease. BCB 2018: 79-88 - 2017
- [j14]Jisoo Park, Benjamin J. Hescott, Donna K. Slonim:
Towards a more molecular taxonomy of disease. J. Biomed. Semant. 8(1): 25:1-25:11 (2017) - [c16]Jisoo Park, Benjamin J. Hescott, Donna K. Slonim:
Building a Molecular Taxonomy of Disease. BCB 2017: 626 - [c15]Cyrus Cousins, Christopher M. Pietras, Donna K. Slonim:
Scalable FRaC Variants: Anomaly Detection for Precision Medicine. IPDPS Workshops 2017: 253-262 - 2015
- [j13]Keith Noto, Saeed Majidi, Andrea G. Edlow, Heather C. Wick, Diana W. Bianchi, Donna K. Slonim:
CSAX: Characterizing Systematic Anomalies in eXpression Data. J. Comput. Biol. 22(5): 402-413 (2015) - [j12]Srinivas Aluru, Donna K. Slonim:
Guest Editors' Introduction: Selected Papers from ACM-BCB 2013. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 2-3 (2015) - 2014
- [j11]Heather C. Wick, Harold J. Drabkin, Huy Ngu, Michael Sackman, Craig Fournier, Jessica Haggett, Judith A. Blake, Diana W. Bianchi, Donna K. Slonim:
DFLAT: functional annotation for human development. BMC Bioinform. 15: 45 (2014) - [j10]Jisoo Park, Heather C. Wick, Daniel E. Kee, Keith Noto, Jill L. Maron, Donna K. Slonim:
Finding Novel Molecular Connections between Developmental Processes and Disease. PLoS Comput. Biol. 10(5) (2014) - [c14]Keith Noto, Carla E. Brodley, Saeed Majidi, Diana W. Bianchi, Donna K. Slonim:
CSAX: Characterizing Systematic Anomalies in eXpression Data. RECOMB 2014: 222-236 - 2012
- [j9]Keith Noto, Carla E. Brodley, Donna K. Slonim:
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection. Data Min. Knowl. Discov. 25(1): 109-133 (2012) - 2011
- [j8]Andrew D. Fox, Benjamin J. Hescott, Anselm Blumer, Donna K. Slonim:
Connectedness of PPI network neighborhoods identifies regulatory hub proteins. Bioinform. 27(8): 1135-1142 (2011) - [c13]Sevin Turcan, Xintao Wei, Jill L. Maron, Douglas E. Vetter, Donna K. Slonim:
Mining Functionally Relevant Gene Sets for Analyzing Physiologically Novel Clinical Expression Data. Pacific Symposium on Biocomputing 2011: 50-61 - 2010
- [j7]Teresa M. Przytycka, Mona Singh, Donna K. Slonim:
Toward the dynamic interactome: it's about time. Briefings Bioinform. 11(1): 15-29 (2010) - [j6]Benjamin J. Hescott, Mark D. M. Leiserson, Lenore J. Cowen, Donna K. Slonim:
Evaluating Between-Pathway Models with Expression Data. J. Comput. Biol. 17(3): 477-487 (2010) - [c12]Keith Noto, Carla E. Brodley, Donna K. Slonim:
Anomaly Detection Using an Ensemble of Feature Models. ICDM 2010: 953-958 - [c11]Tanya Y. Berger-Wolf, Teresa M. Przytycka, Mona Singh, Donna K. Slonim:
Session Introduction. Pacific Symposium on Biocomputing 2010: 120-122
2000 – 2009
- 2009
- [j5]Donna K. Slonim, Itai Yanai:
Getting Started in Gene Expression Microarray Analysis. PLoS Comput. Biol. 5(10) (2009) - [c10]Andrew D. Fox, D. Taylor, Donna K. Slonim:
High Throughput Interaction Data Reveals Degree Conservation of Hub Proteins. Pacific Symposium on Biocomputing 2009: 391-402 - [c9]Benjamin J. Hescott, Mark D. M. Leiserson, Lenore Cowen, Donna K. Slonim:
Evaluating Between-Pathway Models with Expression Data. RECOMB 2009: 372-385 - 2008
- [c8]Xintao Wei, Lenore Cowen, Carla E. Brodley, Arthur Brady, D. Sculley, Donna K. Slonim:
A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes. ISBRA 2008: 26-37 - [c7]Andrew D. Fox, William A. Baumgartner Jr., Helen L. Johnson, Lawrence E. Hunter, Donna K. Slonim:
Mining Protein-Protein Interactions from GeneRIFs with OpenDMAP. BioLINK@ISMB/ECCB 2008: 43-52 - 2006
- [c6]Audrey Girouard, Noah W. Smith, Donna K. Slonim:
Motif Evaluation by Leave-one-out Scoring. CIBCB 2006: 1-7 - 2000
- [c5]Donna K. Slonim, Pablo Tamayo, Jill P. Mesirov, Todd R. Golub, Eric S. Lander:
Class prediction and discovery using gene expression data. RECOMB 2000: 263-272
1990 – 1999
- 1999
- [j4]Jill P. Mesirov, Donna K. Slonim:
Computational biology. Comput. Sci. Eng. 1(3): 16-17 (1999) - 1998
- [j3]Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim:
Learning with Unreliable Boundary Queries. J. Comput. Syst. Sci. 56(2): 209-222 (1998) - 1997
- [j2]Donna K. Slonim, Leonid Kruglyak, Lincoln Stein, Eric S. Lander:
Building Human Genome Maps with Radiation Hybrids. J. Comput. Biol. 4(4): 487-504 (1997) - [c4]Donna K. Slonim, Leonid Kruglyak, Lincoln Stein, Eric S. Lander:
Building human genome maps with radiation hybrids. RECOMB 1997: 277-286 - 1996
- [b1]Donna K. Slonim:
Learning from imperfect data in theory and practice. Massachusetts Institute of Technology, Cambridge, MA, USA, 1996 - 1995
- [c3]Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim:
Learning with Unreliable Boundary Queries. COLT 1995: 98-107 - 1994
- [j1]Dana Angluin, Donna K. Slonim:
Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle. Mach. Learn. 14(1): 7-26 (1994) - [c2]Michael A. Bender, Donna K. Slonim:
The Power of Team Exploration: Two Robots Can Learn Unlabeled Directed Graphs. FOCS 1994: 75-85 - 1991
- [c1]Dana Angluin, Donna K. Slonim:
Learning Monotone DNF with an Incomplete Membership Oracle. COLT 1991: 139-146
Coauthor Index
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