Eric P. Hoffman

发表

The CAM software for nonnegative blind source separation in R-Java

Subha Madhavan, Robert Clarke, Niya Wang, 2013, J. Mach. Learn. Res..

Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis

Yue Wang, Robert Clarke, Eric P. Hoffman, 2007, ICMLA 2007.

Normalization of microarray data by iterative nonlinear regression

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2005, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05).

Reliability Analysis of Transcriptional Regulatory Networks

Chen Wang, Robert Clarke, Li Chen, 2008, BCBGC.

Development and production of an oligonucleotide MuscleChip: use for validation of ambiguous ESTs

Stefano Toppo, Giorgio Valle, Eric P. Hoffman, 2002, BMC Bioinformatics.

Probe set algorithms: is there a rational best bet?

Eric P. Hoffman, Jinwook Seo, E. Hoffman, 2006, BMC Bioinformatics.

Gene Selection by Weighted Fisher criterion for Multiclass Prediction

Robert Clarke, Yue Wang, Eric P. Hoffman, 2005, Advances in Bioinformatics and Its Applications.

Knowledge-guided gene ranking by coordinative component analysis

Robert Clarke, Huai Li, Eric P. Hoffman, 2010, BMC Bioinformatics.

Computational analysis of muscular dystrophy sub-types using a novel integrative scheme

Eric P. Hoffman, Jianhua Xuan, Yue Joseph Wang, 2012 .

Integrative Network Component Analysis for Regulatory Network Reconstruction

Robert Clarke, Li Chen, Eric P. Hoffman, 2008, ISBRA.

Sources of variability and effect of experimental approach on expression profiling data interpretation

Eric P. Hoffman, Yi-Wen Chen, Rehannah H. A. Borup, 2002, BMC Bioinformatics.

Identification of condition-specific regulatory modules through multi-level motif and mRNA expression analysis

Robert Clarke, Li Chen, Eric P. Hoffman, 2009, Int. J. Comput. Biol. Drug Des..

Exploring Transcriptional Modules Through Integrative Gene Clustering Guided by Transcription Factor Binding Information

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2008, BIOCOMP.

caBIG™ VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data

Robert Clarke, Huai Li, Eric P. Hoffman, 2008, BMC Bioinformatics.

Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2010, J. Mach. Learn. Res..

Robust feature selection by weighted Fisher criterion for multiclass prediction in gene expression profiling

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2004, ICPR 2004.

ModVis: An information visualization tool for gene module discovery

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2006, CAINE.

Learning a highly resolved tree of phenotypes using genomic data clustering

Robert Clarke, Eric P. Hoffman, Yue Wang, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

Optimized multilayer perceptrons for molecular classification and diagnosis using genomic data

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2006, Bioinform..

The PEPR GeneChip data warehouse, and implementation of a dynamic time series query tool (SGQT) with graphical interface

Eric P. Hoffman, Josephine Chen, Richard R. Almon, 2004, Nucleic Acids Res..

Gene Selection for Multiclass Prediction by Weighted Fisher Criterion

Bin Wang, Robert Clarke, Eric P. Hoffman, 2007, EURASIP J. Bioinform. Syst. Biol..

GeneShelf: A Web-based Visual Interface for Large Gene Expression Time-Series Data Repositories

Bongshin Lee, Eric P. Hoffman, Jinwook Seo, 2009, IEEE Transactions on Visualization and Computer Graphics.

Motif-guided sparse decomposition of gene expression data for regulatory module identification

Robert Clarke, Huai Li, Li Chen, 2011, BMC Bioinformatics.

An Iterative Nonlinear Regression Method for Microarray Data Normalization

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2007 .

Table 5. [Testing Used to Establish LGMD Type].

Eric P. Hoffman, Elena Pegoraro, 2012 .

A feasible roadmap for unsupervised deconvolution of two-source mixed gene expressions

Zhen Zhang, Robert Clarke, David M. Herrington, 2013, 1310.7033.

Stability-Based Dimension Estimation of ICA with Application to Microarray Data Analysis

Chen Wang, Robert Clarke, Eric P. Hoffman, 2007, BIOCOMP.

Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix microarrays

Ben Shneiderman, Eric P. Hoffman, Jinwook Seo, 2004, Bioinform..

DDN: a caBIG® analytical tool for differential network analysis

Subha Madhavan, Huai Li, Eric P. Hoffman, 2011, Bioinform..

Multilevel support vector regression analysis to identify condition-specific regulatory networks

Robert Clarke, Li Chen, Eric P. Hoffman, 2010, Bioinform..

Prover Science metoder Foer diagnostisering of muskeldystrofi.

Eric P. Hoffman, Michel Koenig, Louis M. Kunkel, 1989 .

Motif-directed network component analysis for regulatory network inference

Robert Clarke, Li Chen, Eric P. Hoffman, 2008, BMC Bioinformatics.

KDDN: an open-source Cytoscape app for constructing differential dependency networks with significant rewiring

Robert Clarke, David M. Herrington, Zhen Zhang, 2015, Bioinform..

Sparse Decomposition of Gene Expression Data to Infer Transcriptional Modules Guided by Motif Information

Robert Clarke, Li Chen, Eric P. Hoffman, 2008, ISBRA.

Integrated Identification of Disease Specific Pathways Using Multi-omics data

Robert Clarke, David M. Herrington, Eric P. Hoffman, 2019, bioRxiv.

Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis

Chen Wang, Robert Clarke, Zhen Zhang, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Identification of Condition-specific Regulatory Modules by Multi-level Motif and mRNA Expression Analysis

Robert Clarke, Li Chen, Eric P. Hoffman, 2008, BIOCOMP.

Intelligent DNA-Based Molecular Diagnostics Using Linked Genetic Markers

Eric P. Hoffman, Mark W. Perlin, Dhiraj K. Pathak, 1994, ISMB.

Building a Coherent Data Pipeline in Microarray Data Analyses: Optimization of Signal/Noise Ratios Using an Interactive Visualization Tool and a Novel Noise Filtering Method (2003)

Ben Shneiderman, Eric P. Hoffman, Jinwook Seo, 2005 .

PUGSVM: a caBIGTM analytical tool for multiclass gene selection and predictive classification

Subha Madhavan, Robert Clarke, Huai Li, 2011, Bioinform..

Biomarker identification by knowledge-driven multilevel ICA and motif analysis

Robert Clarke, Zhen Zhang, Li Chen, 2009, Int. J. Data Min. Bioinform..

Inferring Condition-Specific miRNA-Gene Modules from miRNA and mRNA Profiling Data

Chen Wang, Robert Clarke, Eric P. Hoffman, 2008, BCBGC.

Interactive color mosaic and dendrogram displays for signal/noise optimization in microarray data analysis

Ben Shneiderman, Eric P. Hoffman, Jinwook Seo, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks

Robert Clarke, David M. Herrington, Zhen Zhang, 2013, BMC Systems Biology.

Predicting age at loss of ambulation in Duchenne muscular dystrophy with deep phenotypic measures

Yue Wang, Eric P. Hoffman, Guoqiang Yu, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

An interactive power analysis tool for microarray hypothesis testing and generation

Eric P. Hoffman, Jinwook Seo, Heather Gordish-Dressman, 2006, Bioinform..

Robust feature selection by weighted Fisher criterion for multiclass prediction in gene expression profiling

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2004, ICPR 2004.

Differential dependency network analysis to identify condition-specific topological changes in biological networks

Robert Clarke, Huai Li, Zhen Zhang, 2009, Bioinform..

Knowledge-guided multi-scale independent component analysis for biomarker identification

Robert Clarke, Zhen Zhang, Li Chen, 2008, BMC Bioinformatics.

Computational Analysis of Muscular Dystrophy Sub-types Using a Novel Integrative Scheme

Eric P. Hoffman, Jianhua Xuan, Yue Joseph Wang, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Expression Profiling as a Tool for Diagnosis and Pathway Discovery: Experimental Design and Technical Considerations

Eric P. Hoffman, Donald Massaro, Gloria DeCarlo Massaro, 2004 .

Canine models of Duchenne muscular dystrophy and their use in therapeutic strategies

Eric P. Hoffman, Zheng Fan, Xiao Xiao, 2012, Mammalian Genome.

Secreted Proteome Profiling in Human RPE Cell Cultures Derived from Donors with Age Related Macular Degeneration and Age Matched Healthy Donors J. Proteome Res. 2006, 5, 2599−2610.

Eric P. Hoffman, Brian D. Halligan, Yetrib Hathout, 2007 .

Tissue-specific alternative splicing of TCF7L2

Laura J. Scott, Eric P. Hoffman, Richa Saxena, 2009, Human molecular genetics.

Clinical utility of serum biomarkers in Duchenne muscular dystrophy

Eric P. Hoffman, Aiping Zhang, Yetrib Hathout, 2016, Clinical Proteomics.

Large-scale serum protein biomarker discovery in Duchenne muscular dystrophy

Eric P. Hoffman, Pat Furlong, Craig McDonald, 2015, Proceedings of the National Academy of Sciences.

Dystrophin deficiency causes lethal muscle hypertrophy in cats

Eric P. Hoffman, E. Hoffman, E. Uhl, 1992, Journal of the Neurological Sciences.

Gene Expression Profiling in DQA1*0501+ Children with Untreated Dermatomyositis: A Novel Model of Pathogenesis1

Eric P. Hoffman, Eric G. Bremer, Lauren M. Pachman, 2002, The Journal of Immunology.

Dystrophin: The protein product of the duchenne muscular dystrophy locus

Eric P. Hoffman, Louis M. Kunkel, L. Kunkel, 1987, Cell.

Expression Profiling in the Muscular Dystrophies Identification of Novel Aspects of Molecular Pathophysiology

Eric P. Hoffman, Po Zhao, E. Hoffman, 2000 .

Molecular Pathogenesis of Genetic and Inherited Diseases Dysferlin Deficiency Shows Compensatory Induction of Rab 27 A / Slp 2 a That May Contribute to Inflammatory Onset

Eric P. Hoffman, Mitsunori Fukuda, Kanneboyina Nagaraju, 2010 .

Gene Expression Profiling in Postmortem Rett Syndrome Brain: Differential Gene Expression and Patient Classification

Eric P. Hoffman, Jonathan Pevsner, Alex Chenchik, 2001, Neurobiology of Disease.

Guidelines: Expression profiling — best practices for data generation and interpretation in clinical trials

Avrum Spira, Earl Hubbell, Robert Tibshirani, 2004 .

In vivo filtering of in vitro MyoD target data: An approach for identification of biologically relevant novel downstream targets of transcription factors (2003)

Ben Shneiderman, Eric P. Hoffman, Jinwook Seo, 2005 .

The homologue of the Duchenne locus is defective in X-linked muscular dystrophy of dogs

Eric P. Hoffman, Joe N. Kornegay, Louis M. Kunkel, 1988, Nature.

Laminopathies disrupt epigenomic developmental programs and cell fate

Eric P. Hoffman, Gisèle Bonne, E. Hoffman, 2016, Science Translational Medicine.