Michael R. Brent

According to our database, Michael R. Brent authored at least 28 papers between 1990 and 2023.

Collaborative distances:

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

2023

NetProphet 3: a machine learning framework for transcription factor network mapping and multi-omics integration.

Dhoha Abid, Michael R. Brent

Bioinform., February, 2023

2021

Inferring TF activities and activity regulators from gene expression data with constraints from TF perturbation data.

Cynthia Z. Ma, Michael R. Brent

Bioinform., 2021

2018

NetProphet 2.0: mapping transcription factor networks by exploiting scalable data resources.

Yiming Kang, Hien-Haw Liow, Ezekiel J. Maier, Michael R. Brent

Bioinform., 2018

2017

Model-based Transcriptome Engineering.

Michael R. Brent

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

2011

A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription.

Sooraj KuttyKrishnan, Jeffrey Sabina, Laura Langton, Mark Johnston, Michael R. Brent

Proceedings of the Research in Computational Molecular Biology, 2011

2009

Pairagon: a highly accurate, HMM-based cDNA-to-genome aligner.

David V. Lu, Randall H. Brown, Manimozhiyan Arumugam, Michael R. Brent

Bioinform., 2009

Benchmarking regulatory network reconstruction with GRENDEL.

Brian C. Haynes, Michael R. Brent

Bioinform., 2009

Constrained optimization for validation-guided conditional random field learning.

Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Gradient-Based Feature Selection for Conditional Random Fields and its Applications in Computational Genetics.

Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney

Proceedings of the ICTAI 2009, 2009

2008

CRF-OPT: An Efficient High-Quality Conditional Random Field Solver.

Minmin Chen, Yixin Chen, Michael R. Brent

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

The Treeterbi and Parallel Treeterbi algorithms: efficient, optimal decoding for ordinary, generalized and pair HMMs.

Evan Keibler, Manimozhiyan Arumugam, Michael R. Brent

Bioinform., 2007

2006

Using Multiple Alignments to Improve Gene Prediction.

Samuel S. Gross, Michael R. Brent

J. Comput. Biol., 2006

Using ESTs to improve the accuracy of <i>de novo </i>gene prediction.

Chaochun Wei, Michael R. Brent

BMC Bioinform., 2006

2005

Gene finding in the chicken genome.

Eduardo Eyras, Alexandre Reymond, Robert Castelo, Jacqueline M. Bye, Francisco Camara, Paul Flicek, Elizabeth J. Huckle, Genis Parra, David D. Shteynberg, Carine Wyss, Jane Rogers, Stylianos E. Antonarakis, Ewan Birney, Roderic Guigó, Michael R. Brent

BMC Bioinform., 2005

2003

Eval: A software package for analysis of genome annotations.

Evan Keibler, Michael R. Brent

BMC Bioinform., 2003

2002

Unsupervised Learning of Morphology Using a Novel Directed Search Algorithm: Taking the First Step.

Matthew G. Snover, Gaja Jarosz, Michael R. Brent

Proceedings of the ACL-02 Workshop on Morphological and Phonological Learning, 2002

A Probabilistic Model for Learning Concatenative Morphology.

Matthew G. Snover, Michael R. Brent

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Integrating genomic homology into gene structure prediction.

Ian Korf, Paul Flicek, Daniel Duan, Michael R. Brent

Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

A Bayesian Model for Morpheme and Paradigm Identification.

Matthew G. Snover, Michael R. Brent

Proceedings of the Association for Computational Linguistic, 2001

Chinese Text Segmentation With MBDP-1: Making the Most of Training Corpora.

Michael R. Brent, Xiaopeng Tao

Proceedings of the Association for Computational Linguistic, 2001

1999

An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery.

Michael R. Brent

Mach. Learn., 1999

1996

Lexical categorization: fitting template grammars by incremental MDL optimization.

Michael R. Brent, Timothy A. Cartwright

Proceedings of the Grammatical Inference: Learning Syntax from Sentences, 1996

1994

Segmenting Speech Without a Lexicon: The Roles of Phonotactics and Speech Source.

Timothy A. Cartwright, Michael R. Brent

Proceedings of the Computational Phonology, 1994

1993

From Grammar to Lexicon: Unsupervised Learning of Lexical Syntax.

Michael R. Brent

Comput. Linguistics, 1993

1991

Automatic Acquisition of Subcategorization Frames from Tagged Text.

Michael R. Brent, Robert C. Berwick

Proceedings of the Speech and Natural Language, 1991

Automatic Semantic Classification Of Verbs From Their Syntactic Contexts: An Implemented Classifier For Stativity.

Michael R. Brent

Proceedings of the EACL 1991, 1991

Automatic Acquisition of Subcategorization Frames from Untagged Text.

Michael R. Brent

Proceedings of the 29th Annual Meeting of the Association for Computational Linguistics, 1991

1990

A Simplified Theory of Tense Representations and Constraints on their Composition.

Michael R. Brent

Proceedings of the 28th Annual Meeting of the Association for Computational Linguistics, 1990