A. Busia

发表

A deep learning approach to pattern recognition for short DNA sequences

Clara Fannjiang, George E. Dahl, Ryan Poplin, 2018, bioRxiv.

Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy

David H. Brookes, J. Listgarten, D. Schaffer, 2022, bioRxiv.

Optimal trade-off control in machine learning–based library design, with application to adeno-associated virus (AAV) for gene therapy

David H. Brookes, E. Chang, J. Listgarten, 2021, bioRxiv.

Integrated lake and reservoir management: World Bank approach and experience.

Ariel Dinar, R. Hirji, A. Dinar, 1997 .

Model-based differential sequencing analysis

J. Listgarten, A. Busia, 2023, bioRxiv.

A view of estimation of distribution algorithms through the lens of expectation-maximization

Kevin Murphy, Jennifer Listgarten, Clara Fannjiang, 2019, GECCO Companion.

Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction pdf

Navdeep Jaitly, Akosua Busia, A. Busia, 2017, ArXiv.

Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning pdf

Navdeep Jaitly, Jasmine Collins, Akosua Busia, 2016, ArXiv.

A view of estimation of distribution algorithms through the lens of expectation-maximization

David H. Brookes, K. Murphy, J. Listgarten, 2019, GECCO Companion.

MBE: model-based enrichment estimation and prediction for differential sequencing data

J. Listgarten, A. Busia, 2023, Genome Biology.