Donna K. Slonim

According to our database, Donna K. Slonim authored at least 33 papers between 1991 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

FiT: fiber-based tensor completion for drug repurposing.

Aysegul Bumin, Anna M. Ritz, Donna K. Slonim, Tamer Kahveci, Kejun Huang

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2020

ISMB 2020 proceedings.

Nadia El-Mabrouk, Donna K. Slonim

Bioinform., 2020

aTEMPO: Pathway-Specific Temporal Anomalies for Precision Therapeutics.

Christopher Michael Pietras, Liam Power, Donna K. Slonim

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2018

Putting benchmarks in their rightful place: The heart of computational biology.

Bjoern Peters, Steven E. Brenner, Edwin Wang, Donna K. Slonim, Maricel G. Kann

PLoS Comput. Biol., 2018

TEMPO: Detecting Pathway-Specific Temporal Dysregulation of Gene Expression in Disease.

Christopher Michael Pietras, Faith Ocitti, Donna K. Slonim

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Towards a more molecular taxonomy of disease.

Jisoo Park, Benjamin J. Hescott, Donna K. Slonim

J. Biomed. Semant., 2017

Scalable FRaC Variants: Anomaly Detection for Precision Medicine.

Cyrus Cousins, Christopher M. Pietras, Donna K. Slonim

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Building a Molecular Taxonomy of Disease.

Jisoo Park, Benjamin J. Hescott, Donna K. Slonim

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2015

Guest Editors' Introduction: Selected Papers from ACM-BCB 2013.

Srinivas Aluru, Donna K. Slonim

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

CSAX: Characterizing Systematic Anomalies in eXpression Data.

Keith Noto, Saeed Majidi, Andrea G. Edlow, Heather C. Wick, Diana W. Bianchi, Donna K. Slonim

J. Comput. Biol., 2015

2014

Finding Novel Molecular Connections between Developmental Processes and Disease.

Jisoo Park, Heather C. Wick, Daniel E. Kee, Keith Noto, Jill L. Maron, Donna K. Slonim

PLoS Comput. Biol., 2014

DFLAT: functional annotation for human development.

Heather C. Wick, Harold J. Drabkin, Huy Ngu, Michael Sackman, Craig Fournier, Jessica Haggett, Judith A. Blake, Diana W. Bianchi, Donna K. Slonim

BMC Bioinform., 2014

CSAX: Characterizing Systematic Anomalies in eXpression Data.

Keith Noto, Carla E. Brodley, Saeed Majidi, Diana W. Bianchi, Donna K. Slonim

Proceedings of the Research in Computational Molecular Biology, 2014

2012

FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection.

Keith Noto, Carla E. Brodley, Donna K. Slonim

Data Min. Knowl. Discov., 2012

2011

Connectedness of PPI network neighborhoods identifies regulatory hub proteins.

Andrew D. Fox, Benjamin J. Hescott, Anselm Blumer, Donna K. Slonim

Bioinform., 2011

Mining Functionally Relevant Gene Sets for Analyzing Physiologically Novel Clinical Expression Data.

Sevin Turcan, Xintao Wei, Jill L. Maron, Douglas E. Vetter, Donna K. Slonim

Proceedings of the Biocomputing 2011: Proceedings of the Pacific Symposium, 2011

2010

Evaluating Between-Pathway Models with Expression Data.

Benjamin J. Hescott, Mark D. M. Leiserson, Lenore J. Cowen, Donna K. Slonim

J. Comput. Biol., 2010

Toward the dynamic interactome: it's about time.

Teresa M. Przytycka, Mona Singh, Donna K. Slonim

Briefings Bioinform., 2010

Session Introduction.

Tanya Y. Berger-Wolf, Teresa M. Przytycka, Mona Singh, Donna K. Slonim

Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

Anomaly Detection Using an Ensemble of Feature Models.

Keith Noto, Carla E. Brodley, Donna K. Slonim

Proceedings of the ICDM 2010, 2010

2009

Getting Started in Gene Expression Microarray Analysis.

Donna K. Slonim, Itai Yanai

PLoS Comput. Biol., 2009

High Throughput Interaction Data Reveals Degree Conservation of Hub Proteins.

Andrew D. Fox, D. Taylor, Donna K. Slonim

Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

2008

Mining Protein-Protein Interactions from GeneRIFs with OpenDMAP.

Andrew D. Fox, William A. Baumgartner Jr., Helen L. Johnson, Lawrence E. Hunter, Donna K. Slonim

Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes.

Xintao Wei, Lenore Cowen, Carla E. Brodley, Arthur Brady, D. Sculley, Donna K. Slonim

Proceedings of the Bioinformatics Research and Applications, 2008

2006

Motif Evaluation by Leave-one-out Scoring.

Audrey Girouard, Noah W. Smith, Donna K. Slonim

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2000

Class prediction and discovery using gene expression data.

Donna K. Slonim, Pablo Tamayo, Jill P. Mesirov, Todd R. Golub, Eric S. Lander

Proceedings of the Fourth Annual International Conference on Computational Molecular Biology, 2000

1999

Computational biology.

Jill P. Mesirov, Donna K. Slonim

Comput. Sci. Eng., 1999

1998

Learning with Unreliable Boundary Queries.

Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim

J. Comput. Syst. Sci., 1998

1997

Building Human Genome Maps with Radiation Hybrids.

Donna K. Slonim, Leonid Kruglyak, Lincoln Stein, Eric S. Lander

J. Comput. Biol., 1997

1996

Learning from imperfect data in theory and practice.

Donna K. Slonim

PhD thesis, 1996

1994

Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle.

Dana Angluin, Donna K. Slonim

Mach. Learn., 1994

The Power of Team Exploration: Two Robots Can Learn Unlabeled Directed Graphs

Michael A. Bender, Donna K. Slonim

Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 1994

1991

Learning Monotone DNF with an Incomplete Membership Oracle.

Dana Angluin, Donna K. Slonim

Proceedings of the Fourth Annual Workshop on Computational Learning Theory, 1991