AIControl: replacing matched control experiments with machine learning improves ChIP-seq peak identification

por Hiranuma, Naozumi, Lundberg, Scott M, Lee, Su-In
Publicado 2019

Explaining a series of models by propagating Shapley values

por Chen, Hugh, Lundberg, Scott M., Lee, Su-In
Publicado 2022

Forecasting adverse surgical events using self-supervised transfer learning for physiological signals

por Chen, Hugh, Lundberg, Scott M., Erion, Gabriel, Kim, Jerry H., Lee, Su-In
Publicado 2021

ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq data

por Lundberg, Scott M., Tu, William B., Raught, Brian, Penn, Linda Z., Hoffman, Michael M., Lee, Su-In
Publicado 2016

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

por Lundberg, Scott M., Nair, Bala, Vavilala, Monica S., Horibe, Mayumi, Eisses, Michael J., Adams, Trevor, Liston, David E., King-Wai Low, Daniel, Newman, Shu-Fang, Kim, Jerry, Lee, Su-In
Publicado 2018

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia

por Lee, Su-In, Celik, Safiye, Logsdon, Benjamin A., Lundberg, Scott M., Martins, Timothy J., Oehler, Vivian G., Estey, Elihu H., Miller, Chris P., Chien, Sylvia, Dai, Jin, Saxena, Akanksha, Blau, C. Anthony, Becker, Pamela S.
Publicado 2018