Danielle Braun

According to our database, Danielle Braun authored at least 7 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Improving FAIR Compliance for High-Dimensional Data via Automated Metadata Extraction.

Ana Trisovic, Jan Range, Philip Durbin, Amber Leahey, Wei Li, Danielle Braun

Proceedings of the IEEE International Conference on eScience, 2025

2024

GPCERF - An R package for implementing Gaussian processes for estimating causal exposure response curves.

Naeem Khoshnevis, Boyu Ren, Danielle Braun

J. Open Source Softw., April, 2024

2023

CausalGPS: An R Package for Causal Inference With Continuous Exposures.

Naeem Khoshnevis, Xiao Wu, Danielle Braun

CoRR, 2023

2021

Prediction of Hereditary Cancers Using Neural Networks.

Zoe Guan, Giovanni Parmigiani, Danielle Braun, Lorenzo Trippa

CoRR, 2021

2019

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

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

Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution.

M. Benjamin Sabath, Qian Di, Danielle Braun, Joel Schwartz, Francesca Dominici, Christine Choirat

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018