Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution. - M. Benjamin Sabath; Qian Di; Danielle Braun; Joel Schwartz; Francesca Dominici; Christine Choirat (DSAA, 2018)

aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution. - M. Benjamin Sabath; Qian Di; Danielle Braun; Francesca Dominici; Christine Choirat (CoRR, 2018)

Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes. - Yujia Bao; Zhengyi Deng; Yan Wang; Heeyoon Kim; Victor Diego Armengol; Francisco Acevedo; Nofal Ouardaoui; Cathy Wang; Giovanni Parmigiani; Regina Barzilay; Danielle Braun; Kevin S. Hughes (CoRR, 2019)

Prediction of Hereditary Cancers Using Neural Networks. - Zoe Guan; Giovanni Parmigiani; Danielle Braun; Lorenzo Trippa (CoRR, 2021)

CausalGPS: An R Package for Causal Inference With Continuous Exposures. - Naeem Khoshnevis; Xiao Wu; Danielle Braun (CoRR, 2023)

GPCERF - An R package for implementing Gaussian processes for estimating causal exposure response curves. - Naeem Khoshnevis; Boyu Ren; Danielle Braun (J. Open Source Softw., 2024)