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Biostatistics (Oxford, England)|November 15, 2005
Microarray gene expression data with linked survival phenotypes: diffuse large-B-cell lymphoma revisitedMark R SegalBiostatistics (Oxford, England)|September 8, 2021
Assessing chromatin relocalization in 3D using the patient rule induction methodMark R SegalNAR Genomics and Bioinformatics|May 16, 2022
Can 3D diploid genome reconstruction from unphased Hi-C data be salvaged?Mark R SegalStatistics in Medicine|January 10, 2002
Residual-based tree-structured survival analysisSündüz Keleş, Mark R SegalStatistical Applications in Genetics and Molecular Biology|May 2, 2006
Prediction of genomewide conserved epitope profiles of HIV-1: classifier choice and peptide representationYuanyuan Xiao, Mark R SegalBMC Genomics|November 20, 2014
Distance-based assessment of the localization of functional annotations in 3D genome reconstructionsDaniel Capurso, Mark R SegalPlos Computational Biology|June 23, 2009
Identification of yeast transcriptional regulation networks using multivariate random forestsYuanyuan Xiao, Mark R SegalBioinformatics (Oxford, England)|March 18, 2008
Biological sequence classification utilizing positive and unlabeled dataYuanyuan Xiao, Mark R SegalBMC Bioinformatics|June 1, 2018
Improved accuracy assessment for 3D genome reconstructionsMark R Segal, Henrik L BengtssonBMC Bioinformatics|November 11, 2015
Reconstruction of 3D genome architecture via a two-stage algorithmMark R Segal, Henrik L BengtssonPageof 10