| Quantification of proteins and metabolites by mass spectrometry without isotopic labeling or spiked standards W Wang, H Zhou, H Lin, S Roy, TA Shaler, LR Hill, S Norton, P Kumar, ... Analytical chemistry 75 (18), 4818-4826, 2003 | 819 | 2003 |
| Quantifying reproducibility for differential proteomics: noise analysis for protein liquid chromatography-mass spectrometry of human serum M Anderle, S Roy, H Lin, C Becker, K Joho Bioinformatics 20 (18), 3575-3582, 2004 | 160 | 2004 |
| Snare: a link analytic system for graph labeling and risk detection M McGlohon, S Bay, MG Anderle, DM Steier, C Faloutsos Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 138 | 2009 |
| Mass spectrometric quantification of chemical mixture components CH Becker, CA Hastings, SM Norton US Patent 6,835,927, 2004 | 115 | 2004 |
| Large scale detection of irregularities in accounting data S Bay, K Kumaraswamy, MG Anderle, R Kumar, DM Steier Sixth International Conference on Data Mining (ICDM'06), 75-86, 2006 | 113 | 2006 |
| Differential expression profiling of serum proteins and metabolites for biomarker discovery SM Roy, M Anderle, H Lin, CH Becker International Journal of Mass Spectrometry 238 (2), 163-171, 2004 | 53 | 2004 |
| Blind source separation using the maximum signal fraction approach DR Hundley, MJ Kirby, M Anderle Signal processing 82 (10), 1505-1508, 2002 | 40 | 2002 |
| Biomarker discovery by comprehensive phenotyping for autoimmune diseases AB Kantor, W Wang, H Lin, H Govindarajan, M Anderle, A Perrone, ... Clinical Immunology 111 (2), 186-195, 2004 | 37 | 2004 |
| A solution procedure for blind signal separation using the maximum noise fraction approach: algorithms and examples D Hundley, M Kirby, M Anderle Proceedings of the Conference on Independent Component Analysis, 337-342, 2001 | 22 | 2001 |
| An application of the maximum noise fraction method to filtering noisy time series M Anderle, M Kirby INSTITUTE OF MATHEMATICS AND ITS APPLICATIONS CONFERENCE SERIES 71, 113-124, 2002 | 14 | 2002 |
| Modeling geometric structure in noisy data MG Anderle Colorado State University, 2001 | 10 | 2001 |
| Correlation feedback resource allocation RBF M Anderle, M Kirby IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 9 | 2001 |
| The bilipschitz criterion for mapping design in data analysis M Anderle, D Hundley, M Kirby Intelligent Data Analysis 6 (1), 85-104, 2002 | 6 | 2002 |
| Adaptive clustering based on local neighborhood interactions M Anderle, MJ Kirby Advanced Signal Processing Algorithms, Architectures, and Implementations IX …, 1999 | 3 | 1999 |
| The Bilipschitz criterion for dimension reduction mapping design M Anderle, DR Hundley, MJ Kirby Intelligent Data Analysis 6 (1), 85-104, 2002 | 1 | 2002 |
| Identifying Structure in High-Dimensional Data Sets using Connectivity Matrices M Anderle, M Kirby, A Todd SIAM Workshop on Mining Scientific Datasets. Chicago, 29-36, 2001 | 1 | 2001 |
| Comprehensive phenotyping for rheumatoid arthritis J Deng, WX Wang, H Lin, M Roy, H Govindarajan, M Anderle, A Perrone, ... FASEB JOURNAL 18 (5), A1166-A1166, 2004 | | 2004 |
| CO 80523, USA M Anderle, M Kirby Mathematics in Signal Processing V: Based on the Proceedings of a Conference …, 2002 | | 2002 |
| Adaptive clustering based on local neighborhood interactions [3807-35] M Anderle, MJ Kirby PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, 288-299, 1999 | | 1999 |
