Mark R. Segal

发表

Identifying Milky Way Open Clusters With Extreme Kinematics using PRIM

Mark R. Segal, Jacob W. Segal, 2019 .

Chess, Chance and Conspiracy

Mark R. Segal, 2006 .

Regression Trees for Censored Data

Mark R. Segal, M. Segal, 1988 .

A multi-array multi-SNP genotyping algorithm for Affymetrix SNP microarrays

Jean Yee Hwa Yang, Mark R. Segal, Ru-Fang Yeh, 2007, Bioinform..

Assessing stationary distributions derived from chromatin contact maps

Mark R. Segal, Kipper Fletez-Brant, M. Segal, 2020, BMC Bioinformatics.

Reconstruction of 3D genome architecture via a two-stage algorithm

Mark R. Segal, Henrik Bengtsson, M. Segal, 2015, BMC Bioinformatics.

Current theoretical models fail to predict the topological complexity of the human genome

Mark R. Segal, Robert G. Scharein, Javier Arsuaga, 2015, Front. Mol. Biosci..

Improved accuracy assessment for 3D genome reconstructions

Mark R. Segal, Henrik Bengtsson, M. Segal, 2018, BMC Bioinformatics.

Analysis of a Splice Array Experiment Elucidates Roles of Chromatin Elongation Factor Spt4–5 in Splicing

Jean Yee Hwa Yang, Mark R. Segal, Yuanyuan Xiao, 2005, PLoS Comput. Biol..

Biological sequence classification utilizing positive and unlabeled data

Mark R. Segal, Yuanyuan Xiao, M. Segal, 2008, Bioinform..

Gene expression Identifying differentially expressed genes from microarray experiments via statistic synthesis

Jean Yee Hwa Yang, Mark R. Segal, Yuanyuan Xiao, 2005 .

Few amino acid positions in rpoB are associated with most of the rifampin resistance in Mycobacterium tuberculosis

Mark R. Segal, Michael P. Cummings, M. Segal, 2004, BMC Bioinformatics.

Machine Learning Benchmarks and Random Forest Regression

Mark R. Segal, M. Segal, 2004 .

On E-values for tandem MS scoring schemes

Mark R. Segal, 2008, Bioinform..

Multivariate random forests

Mark R. Segal, Yuanyuan Xiao, M. Segal, 2011, WIREs Data Mining Knowl. Discov..

Uso del Hardware Gráfico en las Transformaciones Funcionales

Mark R. Segal, Domingo Martín Perandrés, Mark R. Segal, 2004 .

Regression Approaches for Microarray Data Analysis

Kam D. Dahlquist, Mark R. Segal, Bruce R. Conklin, 2002, J. Comput. Biol..

Principal curve approaches for inferring 3D chromatin architecture

Trevor J. Hastie, Mark R. Segal, Elena Tuzhilina, 2020, bioRxiv.

Identification of Yeast Transcriptional Regulation Networks Using Multivariate Random Forests

Mark R. Segal, Yuanyuan Xiao, M. Segal, 2009, PLoS Comput. Biol..

Analysis of High-throughput DNA Methylation Bead Arrays Utilizing Bayesian Genotyping Algorithms

Margaret R. Karagas, Mark R. Segal, Ru-Fang Yeh, 2008, 2008 International Conference on BioMedical Engineering and Informatics.

ASYMPTOTIC AND SMALL SAMPLE STATISTICAL PROPERTIES OF RANDOM FRAILTY VARIANCE ESTIMATES FOR SHARED GAMMA FRAILTY MODELS

Mark R. Segal, Matthew Knuiman, Ian James, 2001 .

Rejoinder for Discussions of "Simple, Defensible Sample Sizes Based on Cost Efficiency"

Mark R. Segal, Charles E. McCulloch, Peter Bacchetti, 2008 .

Inclusion body formation reduces levels of mutant huntingtin and the risk of neuronal death

Mark R. Segal, Steven Finkbeiner, Siddhartha Mitra, 2004, Nature.

Variances for Maximum Penalized Likelihood Estimates Obtained via the EM Algorithm

Mark R. Segal, Nicholas P. Jewell, Peter Bacchetti, 1994 .

Empirical Comparison of Approaches to Forming Strata: Using Classification Trees to Adjust for Covariates

Mark R. Segal, M. Segal, D. Bloch, 1989 .

Backcalculation of HIV Infection Rates

Mark R. Segal, Nicholas P. Jewell, Peter Bacchetti, 1993 .

Incorporating measurement error in the estimation of autoregressive models for longitudinal data

Christopher H. Schmid, Mark R. Segal, Bernard Rosner, 1994 .