86 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Jilin UniversityCN7 papers
- Emory UniversityUS2 papers
- Markey Cancer CenterUS2 papers
- University of KansasUS2 papers
- University of KentuckyUS2 papers
- Icahn School of Medicine at Mount SinaiUS1 paper
- Milwaukee School of EngineeringUS1 paper
- Rice UniversityUS1 paper
- Rockefeller UniversityUS1 paper
- The University of Texas MD Anderson Cancer CenterUS1 paper
- University of HoustonUS1 paper
- University of Kansas Medical CenterUS1 paper
7 papers
Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer
Chalapathi Charan Gajjela, Matthew Brun, Rupali Mankar +8
Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free techniques being leveraged for digital histopathology. Modern histopathologic identification of ovaria…
GEE-TGDR: A longitudinal feature selection algorithm and its application to lncRNA expression profiles for psoriasis patients treated with immune therapies
Suyan Tian, Chi Wang, Mayte Suarez-Farinas
With the fast evolution of high-throughput technology, longitudinal gene expression experiments have become affordable and increasingly common in biomedical fields. Generalized est…
A Comparative Study on Polyp Classification using Convolutional Neural Networks
Krushi Patel, Kaidong Li, Ke Tao +4
Colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. Most colorectal cancers start as a growth on the inner lining of the colon o…
An Efficient Approach for Polyps Detection in Endoscopic Videos Based on Faster R-CNN
Xi Mo, Ke Tao, Quan Wang +1
Polyp has long been considered as one of the major etiologies to colorectal cancer which is a fatal disease around the world, thus early detection and recognition of polyps plays a…
Weighted SAMGSR: combining significance analysis of microarray-gene set reduction algorithm with pathway topology-based weights to select relevant genes
Suyan Tian, Howard H. Chang, Chi Wang
Introduction It has been demonstrated that a pathway-based feature selection method which incorporates biological information within pathways into the process of feature selection…
Feature selection for longitudinal microarray data by adapting a pathway analysis method
Suyan Tian, Chi Wang, Howard H. Chang
Introduction: Feature selection and gene set analysis are of increasing interest in bioinformatics. While these two approaches have been developed for different purposes, we descri…
Multi-TGDR: a regularization method for multi-class classification in microarray experiments
Suyan Tian, Mayte Suárez-Fariñas
Background With microarray technology becoming mature and popular, the selection and use of a small number of relevant genes for accurate classification of samples is a hot topic i…