Statistics in Biosciences

A Bayesian Approach to Pathway Analysis by Integrating Gene–Gene Functional Directions and Microarray Data
A Latent Eigenprobit Model with Link Uncertainty for Prediction of Protein–Protein Interactions
A Two-Step Penalized Regression Method with Networked Predictors
Adaptive Thresholding for Reconstructing Regulatory Networks from Time-Course Gene Expression Data
An Efficient Optimization Algorithm for Structured Sparse CCA, with Applications to eQTL Mapping
Frequent Pattern Discovery in Multiple Biological Networks: Patterns and Algorithms
Introduction to Special Issue “Methods for Analysis of Graphs and Networks and Their Applications in Biosciences”
Network Based Prediction Model for Genomics Data Analysis
New Approaches to Principal Component Analysis for Trees
Surveying Hard-to-Reach Groups Through Sampled Respondents in a Social Network