z-logo
open-access-imgOpen Access
Abstract 136: Modeling of prognostication and immune profiling, based on genomic analysis in the tumor microenvironment of pancreatic adenocarcinoma via machine learning
Author(s) -
Sunyoung S. Lee,
Seok Joon Kwon,
Ahmed Elkhanany,
Andrew Baird,
Seongwon Lee,
Jillian Dolan,
Stuart Baird,
Shinyoung Park,
Renuka Iyer
Publication year - 2019
Publication title -
cancer research
Language(s) - English
Resource type - Conference proceedings
eISSN - 1538-7445
pISSN - 0008-5472
DOI - 10.1158/1538-7445.am2019-136
Subject(s) - proportional hazards model , pancreatic cancer , tumor microenvironment , adenocarcinoma , hazard ratio , immune system , oncology , medicine , survival analysis , cancer research , biology , cancer , immunology , confidence interval

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom