Yidong Chen

Yidong Chen received his B.S. and M.S. degrees in electrical engineering from Fudan University, Shanghai, China, in 1983 and 1986, respectively, and Ph.D. degree in imaging science from Rochester Institute of Technology, Rochester, NY, in 1995. From 1986 to 1988, he joined the Department of Electronic Engineering of Fudan University as an Assistant Professor. During 1988 to 1989, he was a Visiting Scholar at the Department of Computer Engineering, Rochester Institute of Technology. From 1995 to 1996, He joined Hewlett Packard Company as a Research Engineer, specialized in digital halftoning and color image processing. Since 1996, he joined microarray technology development effort at the National Human Genome Research Institute, National Institutes of Health, Bethesda, Md, as a Staff Scientist for microarray image analysis and bioinformatics. Currently, he is an Associate Investigator at Cancer Genetics Branch of the National Human Genome Research Institute. His research interests include bioinformatics, biostatistics in genomic research, genetic data visualization, analysis and management, genetic network modeling, and biomedical image processing.

Biography Updated on 18 May 2006

Articles in Scholarly Journals [Incomplete List]

  1. Chromosome 8 BAC array comparative genomic hybridization and expression analysis identify amplification and overexpression ofTRMT12 in breast cancer
    Genes, Chromosomes and Cancer, vol. 46, no. 7, pp. 694–707, 2007
  2. Sensitive and specific method for detecting G protein–coupled receptor mRNAs
    Nature Methods, vol. 4, no. 1, Article ID nmeth977, 2 pages, 2007
  3. Gene Expression Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma
    Clinical Cancer Research, vol. 13, no. 4, pp. 1133–1139, 2007
  4. Normalization Benefits Microarray-Based Classification
    EURASIP Journal on Bioinformatics and Systems Biology, vol. 2006, Article ID 43056, 13 pages, 2006
  5. Prediction of venous metastases, recurrence, and prognosis in hepatocellular carcinoma based on a unique immune response signature of the liver microenvironment
    Cancer Cell, vol. 10, no. 2, pp. 99–111, 2006
  6. Identification of molecular markers for endometriosis in blood lymphocytes by using deoxyribonucleic acid microarrays
    Fertility and Sterility, vol. 85, no. 6, pp. 1676–1683, 2006
  7. Genome-wide mapping of DNase hypersensitive sites using massively parallel signature sequencing (MPSS)
    Genome Research, vol. 16, no. 1, pp. 123–131, 2005
  8. Frequent overexpression of ETS-related gene-1 (ERG1) in prostate cancer transcriptome
    Oncogene, vol. 24, no. 23, Article ID 1208518, 5 pages, 2005
  9. Optimal robust classifiers
    Pattern Recognition, vol. 38, no. 10, pp. 1520–1532, 2005
  10. Gene Expression Profiling of Human Sarcomas: Insights into Sarcoma Biology
    Cancer Research, vol. 65, no. 20, pp. 9226–9235, 2005
  11. Editorial
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 1, pp. 3–4, 2004
  12. The Local Maximum Clustering Method and Its Application in Microarray Gene Expression Data Analysis
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 1, pp. 53–63, 2004
  13. Noise factor analysis for cDNA microarrays
    Journal of Biomedical Optics, vol. 9, no. 4, p. 663, 2004
  14. Cancer-associated molecular signature in the tissue samples of patients with cirrhosis
    Hepatology, vol. 39, no. 2, pp. 518–527, 2004
  15. Nonsense-mediated decay microarray analysis identifies mutations of EPHB2 in human prostate cancer
    Nature Genetics, vol. 36, no. 9, Article ID ng1408, 4 pages, 2004
  16. Generation and analysis of melanoma SAGE libraries: SAGE advice on the melanoma transcriptome
    Oncogene, vol. 23, no. 12, Article ID 1207337, 10 pages, 2004
  17. Defective Immune Function of Primary Effusion Lymphoma Cells is Associated with Distinct KSHV Gene Expression Profiles
    Leukemia & Lymphoma, vol. 45, no. 6, pp. 1223–1238, 2004
  18. Which is better for cDNA-microarray-based classification: ratios or direct intensities
    Bioinformatics, vol. 20, no. 16, pp. 2513–2520, 2004
  19. Gene expression profile in multiple sclerosis patients and healthy controls: identifying pathways relevant to disease
    Human Molecular Genetics, vol. 12, no. 17, pp. 2191–2199, 2003
  20. Molecular classification of familial non-BRCA1/BRCA2 breast cancer
    Proceedings of the National Academy of Sciences, vol. 100, no. 5, pp. 2532–2537, 2003
  21. Predicting hepatitis B virus–positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning
    Nature Medicine, vol. 9, no. 4, Article ID nm843, 7 pages, 2003
  22. Effects of ligand and thyroid hormone receptor isoforms on hepatic gene expression profiles of thyroid hormone receptor knockout mice
    EMBO Reports, vol. 4, no. 6, Article ID embor862, 6 pages, 2003
  23. Gene expression signature of benign prostatic hyperplasia revealed by cDNA microarray analysis
    The Prostate, vol. 51, no. 3, pp. 189–200, 2002
  24. Mutation of melanosome protein RAB38 in chocolate mice
    Proceedings of the National Academy of Sciences, vol. 99, no. 7, pp. 4471–4476, 2002
  25. Inference from Clustering with Application to Gene-Expression Microarrays
    Journal of Computational Biology, vol. 9, no. 1, pp. 105–126, 2002
  26. Assessing the significance of consistently mis-regulated genes in cancer associated gene expression matrices
    Bioinformatics, vol. 18, no. 3, pp. 389–394, 2002
  27. Ratio statistics of gene expression levels and applications to microarray data analysis
    Bioinformatics, vol. 18, no. 9, pp. 1207–1215, 2002
  28. Amine-modified random primers to label probes for DNA microarrays
    Nature Biotechnology, vol. 20, no. 7, Article ID nb0702-738, 4 pages, 2002
  29. Simulation of cDNA microarrays via a parameterized random signal model
    Journal of Biomedical Optics, vol. 7, no. 3, p. 507, 2002
  30. Journal of Biological Systems, vol. 10, no. 4, p. 337, 2002
  31. Transcription Program of Human Herpesvirus 8 (Kaposi's Sarcoma-Associated Herpesvirus)
    Journal of Virology, vol. 75, no. 10, pp. 4843–4853, 2001
  32. Gene-Expression Profiles in Hereditary Breast Cancer
    New England Journal of Medicine, vol. 344, no. 8, pp. 539–548, 2001
  33. Robust optimal granulometric bandpass filters
    Signal Processing, vol. 81, no. 7, pp. 1357–1372, 2001
  34. Multivariate Measurement of Gene Expression Relationships
    Genomics, vol. 67, no. 2, pp. 201–209, 2000
  35. Positional Cloning Utilizing Genomic DNA Microarrays: The Niemann–Pick Type C Gene as a Model System
    Molecular Genetics and Metabolism, vol. 70, no. 1, pp. 10–18, 2000
  36. Identification of Tumor-Suppressor Genes Using Human Melanoma Cell Lines UACC903, UACC903(+6), and SRS3 by Comparison of Expression Profiles
    Molecular Carcinogenesis, vol. 28, no. 2, pp. 119–127, 2000
  37. cDNA microarray technology and its applications
    Biotechnology Advances, vol. 18, no. 1, pp. 35–46, 2000
  38. Nature, vol. 406, no. 6795, pp. 536–540, 2000
  39. Detecting Activation of Ribosomal Protein S6 Kinase by Complementary DNA and Tissue Microarray Analysis
    Journal of the National Cancer Institute, vol. 92, no. 15, pp. 1252–1259, 2000
  40. General nonlinear framework for the analysis of gene interaction via multivariate expression arrays
    Journal of Biomedical Optics, vol. 5, no. 4, p. 411, 2000
  41. Informatic selection of a neural crest-melanocyte cDNA set for microarray analysis
    Proceedings of the National Academy of Sciences, vol. 96, no. 16, pp. 9277–9280, 1999
  42. Hormone Therapy Failure in Human Prostate Cancer: Analysis by Complementary DNA and Tissue Microarrays
    Journal of the National Cancer Institute, vol. 91, no. 20, pp. 1758–1764, 1999
  43. Expression profiling using cDNA microarrays
    Nature Genetics, vol. 21, Article ID 4434, 4 pages, 1999
  44. Expression profiling in cancer using cDNA microarrays
    Electrophoresis, vol. 20, no. 2, pp. 223–229, 1999
  45. Fluorescent cDNA microarray hybridization reveals complexity and heterogeneity of cellular genotoxic stress responses
    Oncogene, vol. 18, no. 24, pp. 3666–3672, 1999
  46. Logical structural filters
    Optical Engineering, vol. 37, no. 6, p. 1668, 1998
  47. Optimal and adaptive reconstructive granulometric bandpass filters
    Signal Processing, vol. 61, no. 1, pp. 65–81, 1997
  48. Bayesian morphological peak estimation and its application to chromosome counting via fluorescence In situ hybridization
    Pattern Recognition, vol. 29, no. 6, pp. 987–996, 1996
  49. Adaptive reconstructive tau-openings: convergence and the steady-state distribution
    Journal of Electronic Imaging, vol. 5, no. 3, p. 266, 1996
  50. Gray-scale morphological granulometric texture classification
    Optical Engineering, vol. 33, no. 8, p. 2713, 1994
  51. Estimation of optimal morphological t-opening parameters based on independent observation of signal and noise pattern spectra
    Signal Processing, vol. 29, no. 3, pp. 265–281, 1992