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2020 – today
- 2023
[j12]Dhoha Abid, Michael R. Brent
:
NetProphet 3: a machine learning framework for transcription factor network mapping and multi-omics integration. Bioinform. 39(2) (2023)- 2021
- [j11]Cynthia Z. Ma, Michael R. Brent:
Inferring TF activities and activity regulators from gene expression data with constraints from TF perturbation data. Bioinform. 37(9): 1234-1245 (2021)
2010 – 2019
- 2018
- [j10]Yiming Kang, Hien-Haw Liow, Ezekiel J. Maier, Michael R. Brent:
NetProphet 2.0: mapping transcription factor networks by exploiting scalable data resources. Bioinform. 34(2): 249-257 (2018) - 2017
- [c17]Michael R. Brent:
Model-based Transcriptome Engineering. BCB 2017: 636 - 2011
- [c16]Sooraj KuttyKrishnan, Jeffrey Sabina, Laura Langton, Mark Johnston, Michael R. Brent:
A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription. RECOMB 2011: 153
2000 – 2009
- 2009
- [j9]Brian C. Haynes, Michael R. Brent:
Benchmarking regulatory network reconstruction with GRENDEL. Bioinform. 25(6): 801-807 (2009) - [j8]David V. Lu, Randall H. Brown, Manimozhiyan Arumugam, Michael R. Brent:
Pairagon: a highly accurate, HMM-based cDNA-to-genome aligner. Bioinform. 25(13): 1587-1593 (2009) - [c15]Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney:
Gradient-Based Feature Selection for Conditional Random Fields and its Applications in Computational Genetics. ICTAI 2009: 750-757 - [c14]Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney:
Constrained optimization for validation-guided conditional random field learning. KDD 2009: 189-198 - 2008
- [c13]Minmin Chen, Yixin Chen, Michael R. Brent:
CRF-OPT: An Efficient High-Quality Conditional Random Field Solver. AAAI 2008: 1018-1023 - 2007
- [j7]Evan Keibler, Manimozhiyan Arumugam, Michael R. Brent:
The Treeterbi and Parallel Treeterbi algorithms: efficient, optimal decoding for ordinary, generalized and pair HMMs. Bioinform. 23(5): 545-554 (2007) - 2006
- [j6]Chaochun Wei, Michael R. Brent:
Using ESTs to improve the accuracy of de novo gene prediction. BMC Bioinform. 7: 327 (2006) - [j5]Samuel S. Gross, Michael R. Brent:
Using Multiple Alignments to Improve Gene Prediction. J. Comput. Biol. 13(2): 379-393 (2006) - 2005
- [j4]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:
Gene finding in the chicken genome. BMC Bioinform. 6: 131 (2005) - [c12]Samuel S. Gross, Michael R. Brent:
Using Multiple Alignments to Improve Gene Prediction. RECOMB 2005: 374-388 - 2003
- [j3]Evan Keibler, Michael R. Brent:
Eval: A software package for analysis of genome annotations. BMC Bioinform. 4: 50 (2003) - 2002
- [c11]Matthew G. Snover, Michael R. Brent:
A Probabilistic Model for Learning Concatenative Morphology. NIPS 2002: 1513-1520 - [c10]Matthew G. Snover, Gaja Jarosz, Michael R. Brent:
Unsupervised Learning of Morphology Using a Novel Directed Search Algorithm: Taking the First Step. SIGMORPHON 2002: 11-20 - 2001
- [c9]Michael R. Brent, Xiaopeng Tao:
Chinese Text Segmentation With MBDP-1: Making the Most of Training Corpora. ACL 2001: 82-89 - [c8]Matthew G. Snover, Michael R. Brent:
A Bayesian Model for Morpheme and Paradigm Identification. ACL 2001: 482-490 - [c7]Ian Korf, Paul Flicek, Daniel Duan, Michael R. Brent:
Integrating genomic homology into gene structure prediction. ISMB (Supplement of Bioinformatics) 2001: 140-148
1990 – 1999
- 1999
- [j2]Michael R. Brent:
An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery. Mach. Learn. 34(1-3): 71-105 (1999) - [i2]Michael R. Brent:
An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery. CoRR cs.CL/9905007 (1999) - 1996
- [c6]Michael R. Brent, Timothy A. Cartwright:
Lexical categorization: fitting template grammars by incremental MDL optimization. ICGI 1996: 84-94 - 1994
- [c5]Timothy A. Cartwright, Michael R. Brent:
Segmenting Speech Without a Lexicon: The Roles of Phonotactics and Speech Source. SIGMORPHON 1994 - [i1]Timothy A. Cartwright, Michael R. Brent:
Segmenting speech without a lexicon: The roles of phonotactics and speech source. CoRR abs/cmp-lg/9412005 (1994) - 1993
- [j1]Michael R. Brent:
From Grammar to Lexicon: Unsupervised Learning of Lexical Syntax. Comput. Linguistics 19(2): 243-262 (1993) - 1991
- [c4]Michael R. Brent:
Automatic Acquisition of Subcategorization Frames from Untagged Text. ACL 1991: 209-214 - [c3]Michael R. Brent:
Automatic Semantic Classification Of Verbs From Their Syntactic Contexts: An Implemented Classifier For Stativity. EACL 1991: 222-226 - [c2]Michael R. Brent, Robert C. Berwick:
Automatic Acquisition of Subcategorization Frames from Tagged Text. HLT 1991 - 1990
- [c1]Michael R. Brent:
A Simplified Theory of Tense Representations and Constraints on their Composition. ACL 1990: 119-126
Coauthor Index
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