Generating and designing DNA with deep generative models

Generating and designing DNA with deep generative models

17 December 2017

Leo J. Lee

Papers citing "Generating and designing DNA with deep generative models"

18 / 18 papers shown

Title
Is novelty predictable? Clara Fannjiang Jennifer Listgarten AI4CE 17 14 0 01 Jun 2023
Fourier Representations for Black-Box Optimization over Categorical Variables Hamid Dadkhahi Jesus Rios Karthikeyan Shanmugam Payel Das 27 11 0 08 Feb 2022
WaveFake: A Data Set to Facilitate Audio Deepfake Detection Joel Frank Lea Schonherr DiffM 129 123 0 04 Nov 2021
Differential-Critic GAN: Generating What You Want by a Cue of Preferences Yinghua Yao Yuangang Pan Ivor W. Tsang Xin Yao DiffM 20 0 0 14 Jul 2021
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem Lun Jiang N. S. Sadghiani Zhuo Tao Andrew Cohen 19 0 0 07 Apr 2021
AdaLead: A simple and robust adaptive greedy search algorithm for sequence design Sam Sinai Richard Wang Alexander Whatley Stewart Slocum Elina Locane Eric D. Kelsic 25 77 0 05 Oct 2020
MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations D. S. Berman Craig Howser T. Mehoke Jared D. Evans 32 9 0 26 Aug 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 29 159 0 16 Jul 2020
Population-Based Black-Box Optimization for Biological Sequence Design Christof Angermüller David Belanger Andreea Gane Zelda E. Mariet David Dohan Kevin Patrick Murphy Lucy J. Colwell D. Sculley 16 133 0 05 Jun 2020
Fast differentiable DNA and protein sequence optimization for molecular design Johannes Linder Georg Seelig 20 54 0 22 May 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 18 716 0 07 Jun 2019
Generating protein sequences from antibiotic resistance genes data using Generative Adversarial Networks Prabal Chhibbar Arpita Joshi GAN 8 12 0 28 Apr 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 19 193 0 29 Jan 2019
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models Daniil Polykovskiy Alexander Zhebrak Benjamín Sánchez-Lengeling Sergey Golovanov Oktai Tatanov ... Simon Johansson Hongming Chen Sergey I. Nikolenko Alán Aspuru-Guzik Alex Zhavoronkov ELM 194 633 0 29 Nov 2018
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 39 65 0 08 Oct 2018
Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions Anvita Gupta James Zou AI4CE 6 55 0 05 Apr 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 236 2,547 0 25 Jan 2016