Richard Bonneau

Orcid: 0000-0003-4354-7906

According to our database1, Richard Bonneau authored at least 44 papers between 2006 and 2024.

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Bibliography

2024
LLMs are Highly-Constrained Biophysical Sequence Optimizers.
CoRR, 2024

Protein Discovery with Discrete Walk-Jump Sampling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs.
Bioinform., January, 2023

AbDiffuser: full-atom generation of in-vitro functioning antibodies.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OpenProteinSet: Training data for structural biology at scale.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Measuring the Ideology of Audiences for Web Links and Domains Using Differentially Private Engagement Data.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022
NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction.
Bioinform., October, 2022

A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences.
CoRR, 2022

PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design.
CoRR, 2022

Multi-segment preserving sampling for deep manifold sampler.
CoRR, 2022

Dictionary-Assisted Supervised Contrastive Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
A convolutional neural network for common coordinate registration of high-resolution histology images.
Bioinform., November, 2021

Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data.
PLoS Comput. Biol., 2021

Experiences and lessons learned from two virtual, hands-on microbiome bioinformatics workshops.
PLoS Comput. Biol., 2021

YouTube Recommendations and Effects on Sharing Across Online Social Platforms.
Proc. ACM Hum. Comput. Interact., 2021

NetQuilt: deep multispecies network-based protein function prediction using homology-informed network similarity.
Bioinform., 2021

An Automatic Framework to Continuously Monitor Multi-Platform Information Spread.
Proceedings of the Workshop on Misinformation Integrity in Social Networks 2021 co-located with 30th The Web Conference (TheWebConf 2021), 2021

2020
Better together: Elements of successful scientific software development in a distributed collaborative community.
PLoS Comput. Biol., 2020

2019
Multi-study inference of regulatory networks for more accurate models of gene regulation.
PLoS Comput. Biol., 2019

Towards region-specific propagation of protein functions.
Bioinform., 2019

2018
deepNF: deep network fusion for protein function prediction.
Bioinform., 2018

Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing.
Bioinform., 2018

2017
Identifying direct contacts between protein complex subunits from their conditional dependence in proteomics datasets.
PLoS Comput. Biol., 2017

Computing structure-based lipid accessibility of membrane proteins with mp_lipid_acc in RosettaMP.
BMC Bioinform., 2017

Detecting Bots on Russian Political Twitter.
Big Data, 2017

2016
4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments.
PLoS Comput. Biol., 2016

Fused Regression for Multi-source Gene Regulatory Network Inference.
PLoS Comput. Biol., 2016

Accurate <i>de novo</i> design of hyperstable constrained peptides.
Nat., 2016

Text Classification for Automatic Detection of E-Cigarette Use and Use for Smoking Cessation from Twitter: A Feasibility Pilot.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Big Data, Social Media, and Protest: Foundations for a Research Agenda.
Proceedings of the Computational Social Science: Discovery and Prediction, 2016

2015
Sparse and Compositionally Robust Inference of Microbial Ecological Networks.
PLoS Comput. Biol., 2015

Political Expression and Action on Social Media: Exploring the Relationship Between Lower- and Higher-Threshold Political Activities Among Twitter Users in Italy.
J. Comput. Mediat. Commun., 2015

Inter-species pathway perturbation prediction via data-driven detection of functional homology.
Bioinform., 2015

Positive-Unlabeled Learning in the Face of Labeling Bias.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Genotet: An Interactive Web-based Visual Exploration Framework to Support Validation of Gene Regulatory Networks.
IEEE Trans. Vis. Comput. Graph., 2014

Negative Example Selection for Protein Function Prediction: The NoGO Database.
PLoS Comput. Biol., 2014

2013
Parametric Bayesian priors and better choice of negative examples improve protein function prediction.
Bioinform., 2013

Robust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks.
Bioinform., 2013

2012
Session introduction.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2011
Comparative Microbial Modules Resource: Generation and Visualization of Multi-species Biclusters.
PLoS Comput. Biol., 2011

2008
Modeling gene regulation and spatial organization of sequence based motifs.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
BioNetBuilder: automatic integration of biological networks.
Bioinform., 2007

2006
The Gaggle: An open-source software system for integrating bioinformatics software and data sources.
BMC Bioinform., 2006

Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks.
BMC Bioinform., 2006


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