output
20152024
most citedComparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data

5 citations

researchers with a paper here
collaborating institutions

3 papers

q-bio.QM2024★ 5 cited

Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data

Arshmeet Kaur, Morteza Sarmadi

Rapid advancements in genome sequencing have led to the collection of vast amounts of genomics data. Researchers may be interested in using machine learning models on such data to…

math.ST2018★ 2 cited

High Dimensional Robust Inference for Cox Regression Models

Shengchun Kong, Zhuqing Yu, Xianyang Zhang +1

We consider high-dimensional inference for potentially misspecified Cox proportional hazard models based on low dimensional results by Lin and Wei [1989]. A de-sparsified Lasso est…

stat.AP2015

Flexible combination of multiple diagnostic biomarkers to improve diagnostic accuracy

Tu Xu, Yixin Fang, Alan Rong +1

In medical research, it is common to collect information of multiple continuous biomarkers to improve the accuracy of diagnostic tests. Combining the measurements of these biomarke…