Héctor Corrada Bravo

According to our database, Héctor Corrada Bravo authored at least 28 papers between 2005 and 2024.

Collaborative distances:

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

2024

Concept Bottleneck Generative Models.

Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021

Multivariable association discovery in population-scale meta-omics studies.

Himel Mallick, Ali Rahnavard, Lauren J. McIver, Siyuan Ma, Yancong Zhang, Long H. Nguyen, Timothy L. Tickle, George Weingart, Boyu Ren, Emma H. Schwager, Suvo Chatterjee, Kelsey N. Thompson, Jeremy E. Wilkinson, Ayshwarya Subramanian, Yiren Lu, Levi Waldron, Joseph N. Paulson, Eric A. Franzosa, Héctor Corrada Bravo, Curtis Huttenhower

PLoS Comput. Biol., 2021

Improving Deep Learning Interpretability by Saliency Guided Training.

Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data.

Hirak Sarkar, Avi Srivastava, Héctor Corrada Bravo, Michael I. Love, Rob Patro

Bioinform., 2020

Epiviz File Server: Query, transform and interactively explore data from indexed genomic files.

Jayaram Kancherla, Yifan Yang, Hyeyun Chae, Héctor Corrada Bravo

Bioinform., 2020

Proactive visual and statistical analysis of genomic data in Epiviz.

Zhe Cui, Jayaram Kancherla, Kyle W. Chang, Niklas Elmqvist, Héctor Corrada Bravo

Bioinform., 2020

Benchmarking Deep Learning Interpretability in Time Series Predictions.

Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

<i>microbiomeDASim</i>: Simulating longitudinal differential abundance for microbiome data.

Justin Williams, Héctor Corrada Bravo, Jennifer Tom, Joseph N. Paulson

F1000Research, 2019

Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis.

Mohamed K. Gunady, Stephen M. Mount, Héctor Corrada Bravo

BMC Bioinform., 2019

metagenomeFeatures: an R package for working with 16S rRNA reference databases and marker-gene survey feature data.

Nathan D. Olson, Nidhi Shah, Jayaram Kancherla, Justin Wagner, Joseph N. Paulson, Héctor Corrada Bravo

Bioinform., 2019

Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks.

Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Epiviz Web Components: reusable and extensible component library to visualize functional genomic datasets.

Jayaram Kancherla, Alexander Zhang, Brian Gottfried, Héctor Corrada Bravo

F1000Research, 2018

Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks.

Aya Abdelsalam Ismail, Timothy Wood, Héctor Corrada Bravo

CoRR, 2018

2017

Bioinformatics of DNA [Scanning the Issue].

Lenwood S. Heath, Héctor Corrada Bravo, Mario Cáccamo, Michael Schatz

Proc. IEEE, 2017

Yanagi: Transcript Segment Library Construction for RNA-Seq Quantification.

Mohamed K. Gunady, Steffen Cornwell, Stephen M. Mount, Héctor Corrada Bravo

Proceedings of the 17th International Workshop on Algorithms in Bioinformatics, 2017

2016

Privacy-preserving microbiome analysis using secure computation.

Justin Wagner, Joseph N. Paulson, Xiao Wang, Bobby Bhattacharjee, Héctor Corrada Bravo

Bioinform., 2016

BatchQC: interactive software for evaluating sample and batch effects in genomic data.

Solaiappan Manimaran, Heather Marie Selby, Kwame Okrah, Claire Ruberman, Jeffrey T. Leek, John Quackenbush, Benjamin Haibe-Kains, Héctor Corrada Bravo, W. Evan Johnson

Bioinform., 2016

methylFlow: cell-specific methylation pattern reconstruction from high-throughput bisulfite-converted DNA sequencing.

Faezeh Dorri, Lee Mendelowitz, Héctor Corrada Bravo

Bioinform., 2016

2015

Epiviz: a view inside the design of an integrated visual analysis software for genomics.

Florin Chelaru, Héctor Corrada Bravo

BMC Bioinform., December, 2015

2014

BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution.

Chengxi Ye, Chiaowen Hsiao, Héctor Corrada Bravo

Bioinform., 2014

Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.

Martin J. Aryee, Andrew E. Jaffe, Héctor Corrada Bravo, Christine Ladd-Acosta, Andrew P. Feinberg, Kasper D. Hansen, Rafael A. Irizarry

Bioinform., 2014

2012

The partitioned LASSO-patternsearch algorithm with application to gene expression data.

Weiliang Shi, Grace Wahba, Rafael A. Irizarry, Héctor Corrada Bravo, Stephen J. Wright

BMC Bioinform., 2012

Gene expression anti-profiles as a basis for accurate universal cancer signatures.

Héctor Corrada Bravo, Vasyl Pihur, Matthew N. McCall, Rafael A. Irizarry, Jeffrey T. Leek

BMC Bioinform., 2012

Increased Methylation Variation in Epigenetic Domains across Cancer Types.

Héctor Corrada Bravo

Proceedings of the Research in Computational Molecular Biology, 2012

2009

Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming.

Héctor Corrada Bravo, Stephen J. Wright, Kevin H. Eng, Sündüz Keles, Grace Wahba

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Automated classification of bird and amphibian calls using machine learning: A comparison of methods.

Miguel A. Acevedo, Carlos J. Corrada-Bravo, Héctor Corrada Bravo, Luis J. Villanueva-Rivera, T. Mitchell Aide

Ecol. Informatics, 2009

2007

Optimizing mpf queries: decision support and probabilistic inference.

Héctor Corrada Bravo, Raghu Ramakrishnan

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

2005

A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment.

Héctor Corrada Bravo, David Page, Raghu Ramakrishnan, Jude W. Shavlik, Vítor Santos Costa

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005