output
20132021
most citedBayesian sparse graphical models for classification with application to protein expression data

26 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

eess.IV2021★ 22 cited

Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection

Trevor Doherty, Susan McKeever, Nebras Al-Attar +10

The diagnosis of prostate cancer is challenging due to the heterogeneity of its presentations, leading to the over diagnosis and treatment of non-clinically important disease. Accu…

stat.ME2014★ 26 cited

Bayesian sparse graphical models for classification with application to protein expression data

Veerabhadran Baladandayuthapani, Rajesh Talluri, Yuan Ji +5

Reverse-phase protein array (RPPA) analysis is a powerful, relatively new platform that allows for high-throughput, quantitative analysis of protein networks. One of the challenges…

stat.AP2013★ 11 cited

Network Inference Using Steady State Data and Goldbeter-Koshland Kinetics

Chris J Oates, Bryan T Hennessy, Yiling Lu +2

Network inference approaches are widely used to shed light on regulatory interplay between molecular players such as genes and proteins. Biochemical processes underlying networks o…