@inproceedings{9832025decfe43f2a2578fa11c8aa2c3,
title = "Prototyping CRISP: A causal relation and inference search platform applied to colorectal cancer data",
abstract = "We introduce CRISP, a Causal Research and Inference Search Platform. It is designed to assist biological and medical research by applying a variety of causal discovery methods to heterogeneous and high-dimensional observational data. CRISP aims to identify a small set of input variables which are most likely to have a causal effect on a target variable. The output of CRISP, thus, highlights the most promising candidates for further targeted research. We illustrate the utility of CRISP with a case study in oncology, using a multi-omic colorectal cancer data set to identify causal drivers differentiating two subtypes of colorectal cancer.",
keywords = "Causal discovery, Causal inference, Colorectal cancer",
author = "Samuel Budd and Arno Blaas and Adrienne Hoarfrost and Kia Khezeli and Krittika D{\textquoteright}Silva and Frank Soboczenski and Graham Mackintosh and Nicholas Chia and John Kalantari",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021 ; Conference date: 09-03-2021 Through 11-03-2021",
year = "2021",
month = mar,
day = "9",
doi = "10.1109/LifeTech52111.2021.9391819",
language = "English (US)",
series = "LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "517--521",
booktitle = "LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies",
}