Keith Noto

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 2

Top Topics

Bayesian Inference

Molecular Level

Detecting Anomalies

Manually Labeled

Top Venues

J. Comput. Biol.

PLoS Comput. Biol.

Publications

Keith Noto, Luong Ruiz
Accurate genome-wide phasing from IBD data. BMC Bioinform. 23 (1) (2022)
Yong Wang, Shiya Song, Joshua G. Schraiber, Alisa Sedghifar, Jake K. Byrnes, David A. Turissini, Eurie L. Hong, Catherine A. Ball, Keith Noto
Ancestry inference using reference labeled clusters of haplotypes. BMC Bioinform. 22 (1) (2021)
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) (2015)
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)
Keith Noto, Carla E. Brodley, Saeed Majidi, Diana W. Bianchi, Donna K. Slonim
CSAX: Characterizing Systematic Anomalies in eXpression Data. RECOMB (2014)
Keith Noto, Mark Craven
Learning Hidden Markov Models for Regression using Path Aggregation CoRR (2012)
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) (2012)
Martin Krallinger, Miguel Vazquez, Florian Leitner, David Salgado, Andrew Chatr-aryamontri, Andrew G. Winter, Livia Perfetto, Leonardo Briganti, Luana Licata, Marta Iannuccelli, Luisa Castagnoli, Gianni Cesareni, Mike Tyers, Gerold Schneider, Fabio Rinaldi, Robert Leaman, Graciela Gonzalez, Sérgio Matos, Sun Kim, W. John Wilbur, Luis Mateus Rocha, Hagit Shatkay, Ashish V. Tendulkar, Shashank Agarwal, Feifan Liu, Xinglong Wang, Rafal Rak, Keith Noto, Charles Elkan, Zhiyong Lu
The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text. BMC Bioinform. 12 (S-8) (2011)
Aditya Kumar Sehgal, Sanmay Das, Keith Noto, Milton H. Saier Jr., Charles Elkan
Identifying Relevant Data for a Biological Database: Handcrafted Rules versus Machine Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (3) (2011)
Keith Noto, Carla E. Brodley, Donna K. Slonim
Anomaly Detection Using an Ensemble of Feature Models. ICDM (2010)
Milton H. Saier Jr., Ming Ren Yen, Keith Noto, Dorjee G. Tamang, Charles Elkan
The Transporter Classification Database: recent advances. Nucleic Acids Res. 37 (Database-Issue) (2009)
Charles Elkan, Keith Noto
Learning classifiers from only positive and unlabeled data. KDD (2008)
Keith Noto, Milton H. Saier Jr., Charles Elkan
Learning to Find Relevant Biological Articles without Negative Training Examples. Australasian Conference on Artificial Intelligence (2008)
Keith Noto, Mark Craven
Learning Hidden Markov Models for Regression using Path Aggregation. UAI (2008)
Keith Noto, Mark Craven
-regulatory modules that represent logical and spatial aspects. Bioinform. 23 (2) (2007)
Keith Noto, Mark Craven
A specialized learner for inferring structured cis-regulatory modules. BMC Bioinform. 7 (2006)
Keith Noto, Mark Craven
Learning Regulatory Network Models that Represent Regulator States and Roles. Regulatory Genomics (2004)