Michael N. Liebman

发表

DW4TR: A Data Warehouse for Translational Research

Jun Gao, Hai Hu, Richard J. Mural, 2011, J. Biomed. Informatics.

Assessing semantic similarity measures for the characterization of human regulatory pathways

Hai Hu, Xiang Guo, Rongxiang Liu, 2006, Bioinform..

An Introduction to Biomedical Informatics

Michael N. Liebman, Hai Hu, 2007 .

A Bayesian derived network of breast pathology co-occurrence

Hai Hu, Susan Maskery, Craig D. Shriver, 2008, J. Biomed. Informatics.

Model Formulation: Modeling and Simulation of Pathways in Menopause

Michael N. Liebman, Dimitra Tsavachidou, D. Tsavachidou, 2002, J. Am. Medical Informatics Assoc..

Molecular Modeling: Transferring Technology to Solutions

Michael N. Liebman, 1994 .

Hai Hu, Xiang Guo, Craig D. Shriver, 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

Molecular modeling of protein structure and function: A bioinformatic approach

Michael N. Liebman, 1988, J. Comput. Aided Mol. Des..

Prediction of protein folding using the shift-learning method with a large scale neural network

M. O. Poliac, Michael N. Liebman, George L. Wilcox, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Caffeine Intake, Race, and Risk of Invasive Breast Cancer Lessons Learned from Data Mining a Clinical Database

Hai Hu, Yonghong Zhang, Susan Maskery, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

QAIT: A quality assurance issue tracking tool to facilitate the improvement of clinical data quality

Hai Hu, Yonghong Zhang, Richard J. Mural, 2013, Comput. Methods Programs Biomed..

Can Circulating Matrix Metalloproteinases Be Predictors of Breast Cancer? A Neural Network Modeling Study

Hai Hu, Craig D. Shriver, Jeffrey Hooke, 2005, ICNC.

Data Management Systems: Science versus Technology?

Michael N. Liebman, 2003, OMICS.

Analysis of Metabolic and Regulatory Pathways through Gene Ontology-Derived Semantic Similarity Measures

Hai Hu, Xiang Guo, Craig D. Shriver, 2005, AMIA.

Neural network analysis of protein tertiary structure

Michael N. Liebman, George L. Wilcox, Marius O. Poliac, 1990 .

Target validation: evolution or revolution?

Michael N. Liebman, 2002 .

Use of the backpropagation neural network algorithm for prediction of protein folding patterns

Michael N. Liebman, George L. Wilcox, Yiyi Xin, 1993 .

Hypothesis Generation and Evaluation in Clinical Trial Design

Sabrina Molinaro, Michael N. Liebman, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Petri Net Representations in Metabolic Pathways

Michael L. Mavrovouniotis, Venkatramana N. Reddy, Michael N. Liebman, 1993, ISMB.

Co-Occurrence Analysis for Discovery of Novel Breast Cancer Pathology Patterns

Hai Hu, Yonghong Zhang, Susan Maskery, 2006, IEEE Transactions on Information Technology in Biomedicine.

A novel computational analysis of heterogeneity in breast tissue

Hai Hu, Yonghong Zhang, Susan Maskery, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Biomedical Informatics in Translational Research

Michael N. Liebman, Hai Hu, Richard J. Mural, 2008 .

APPLICATION OF NEURAL NETWORKS TO THE ANALYSIS OF STRUCTURE AND FUNCTION IN BIOLOGICALLY ACTIVE MACROMOLECULES

Michael N. Liebman, 1993 .

Clinical prediction of antidepressant response in mood disorders: Linear multivariate vs. neural network models

Michael N. Liebman, Enrico Smeraldi, Cristina Colombo, 2007, Psychiatry Research.

Detecting Outlier Microarray Arrays by Correlation and Percentage of Outliers Spots

Hai Hu, Craig D. Shriver, Michael N. Liebman, 2006, Cancer informatics.