Network-based logistic regression integration method for biomarker identification
نویسندگان
چکیده
منابع مشابه
Sparse logistic regression with Lp penalty for biomarker identification.
In this paper, we propose a novel method for sparse logistic regression with non-convex regularization Lp (p <1). Based on smooth approximation, we develop several fast algorithms for learning the classifier that is applicable to high dimensional dataset such as gene expression. To the best of our knowledge, these are the first algorithms to perform sparse logistic regression with an Lp and ela...
متن کاملCombining multiple biomarker models in logistic regression.
In medical research, there is great interest in developing methods for combining biomarkers. We argue that selection of markers should also be considered in the process. Traditional model/variable selection procedures ignore the underlying uncertainty after model selection. In this work, we propose a novel model-combining algorithm for classification in biomarker studies. It works by considerin...
متن کاملBayesian Multinomial Logistic Regression for Author Identification
Motivated by high-dimensional applications in authorship atttribution, we describe a Bayesian multinomial logistic regression model together with an associated learning algorithm.
متن کاملDistributed Newton Method for Regularized Logistic Regression
Regularized logistic regression is a very successful classification method, but for large-scale data, its distributed training has not been investigated much. In this work, we propose a distributed Newton method for training logistic regression. Many interesting techniques are discussed for reducing the communication cost. Experiments show that the proposed method is faster than state of the ar...
متن کاملNetwork-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery
Molecular profiling data (e.g., gene expression) has been used for clinical risk prediction and biomarker discovery. However, it is necessary to integrate other prior knowledge like biological pathways or gene interaction networks to improve the predictive ability and biological interpretability of biomarkers. Here, we first introduce a general regularized Logistic Regression (LR) framework wit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2018
ISSN: 1752-0509
DOI: 10.1186/s12918-018-0657-8