Kim, Youngchul, Bekiranov, Stefan, Lee, Jae K., Park, Taesung
Motivation: ChIP–chip has been widely used for various genome-wide biological investigations. Given the small number of replicates (typically two to three) per biological sample, methods of...
GeneX Va: VBC open source microarray database and analysis software (2008)
Jae K. Lee, Tom Laudeman, Jodi Kanter, Teela James, Mir S. Siadaty, William A. Knaus, ...
freeware database and bioinformatics analysis software for archiving and analyzing Affymetrix GeneChip ® data. It provides an integrated framework for management, documentation, and analysis of...
Yi, Sung-Gon, Park, Taesung, Lee, Jae K
Abstract Background Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients' residual tumor...
physiological and clinical response data (2008)
Sung-gon Yi, Taesung Park, Jae K Lee
Response projected clustering for direct association with
Park, Taesung, Kim, Youngchul, Bekiranov, Stefan, Lee, Jae K.
Statistical analysis on tiling array data is extremely challenging due to the astronomically large number of sequence probes, high noise levels of individual probes and limited number of replicates...
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks (2007)
Kim, Haseong, Lee, Jae K, Park, Taesung
Abstract Background Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that its...
Investigation of Anion Effects in Ionic Liquid-Nano Hybrid Materials (2006)
Roh, Eun J., Lee, Jae K., Park, Min J., Park, Jung H., Lee, Bang S., Lee, Eunjung
The project investigated the following research areas: 1) Investigation of anion effects on the hydrohpilicity/hydrophobicity using self-assembled monolayers (SAMs) of thiol-functionalized ionic...
Jain, Nitin, Cho, HyungJun, O'Connell, Michael, Lee, Jae K
Abstract Background The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustment methods...
Nitin Jain, Hyungjun Cho, Jae K Lee
Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustment methods for...
Robust classification modeling on microarray data using misclassification penalized posterior (2005)
Soukup, Mat, Cho, HyungJun, Lee, Jae K.
Motivation: Genome-wide microarray data are often used in challenging classification problems of clinically relevant subtypes of human diseases. However, the identification of a parsimonious robust...
BMC Bioinformatics BioMed Central Methodology article (2005)
Nitin Jain, Hyungjun Cho, Jae K Lee
Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
Bayesian hierarchical error model for analysis of gene expression data (2004)
Motivation: Analysis of genome-wide microarray data requires the estimation of a large number of genetic parameters for individual genes and their interaction expression patterns under multiple...
Bayesian hierarchical error model for analysis of gene expression data (2004)
Motivation: Analysis of genome-wide microarray data requires the estimation of a large number of genetic parameters for individual genes and their interaction expression patterns under multiple...
Bayesian hierarchical error model for analysis of gene expression data (2004)
Motivation: Analysis of genome-wide microarray data requires the estimation of a large number of genetic parameters for individual genes and their interaction expression patterns under multiple...
Lee, Jae K, Bussey, Kimberly J, Gwadry, Fuad G, Reinhold, William, Riddick, Gregory, Pelletier, Sandra L, ...
Abstract Microarray gene-expression profiles are generally validated one gene at a time by real-time RT-PCR. We describe here a different approach based on simultaneous mutual validation of large...
Jain, Nitin, Thatte, Jayant, Braciale, Thomas, Ley, Klaus, O'Connell, Michael, Lee, Jae K.
Motivation: In microarray studies gene discovery based on fold-change values is often misleading because error variability for each gene is heterogeneous under different biological conditions and...
Mathematical Modelling of Transformation in Nb Microalloyed Steels. (1998)
Lee, Kyung J., Lee, Jae K., Kang, Ki B., Kwon, Ohjoon
Decomposition of austenite and the precipitation of alloy carbides in Nb microalloyed steels have been studied using thermodynamic and kinetic modeling. Phase analysis of Fe-C-Mn and the Fe-C-Nb...
Trippi, Robert R., Lee, Jae K.
Incluye índice
Trippi, Robert R., Lee, Jae K.
Incluye índice
Chemosensitivity prediction by transcriptional profiling
Staunton, Jane E., Slonim, Donna K., Coller, Hilary A., Tamayo, Pablo, Angelo, Michael J., Park, Johnny, ...
In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles...
Nishizuka, Satoshi, Charboneau, Lu, Young, Lynn, Major, Sylvia, Reinhold, William C., Waltham, Mark, ...
Because most potential molecular markers and targets are proteins, proteomic profiling is expected to yield more direct answers to functional and pharmacological questions than does transcriptional...
Lee, Jae K, Bussey, Kimberly J, Gwadry, Fuad G, Reinhold, William, Riddick, Gregory, Pelletier, Sandra L, ...
Microarray gene-expression profiles are generally validated one gene at a time by real-time RT-PCR. A different approach is described, based on simultaneous mutual validation of large numbers of...
Lee, Jae K., Thomas, Duncan C.
Markov chain–Monte Carlo (MCMC) techniques for multipoint mapping of quantitative trait loci have been developed on nuclear-family and extended-pedigree data. These methods are based on repeated...
Chemosensitivity prediction by transcriptional profiling
Staunton, Jane E., Slonim, Donna K., Coller, Hilary A., Tamayo, Pablo, Angelo, Michael J., Park, Johnny, ...
In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles...
Nishizuka, Satoshi, Charboneau, Lu, Young, Lynn, Major, Sylvia, Reinhold, William C., Waltham, Mark, ...
Because most potential molecular markers and targets are proteins, proteomic profiling is expected to yield more direct answers to functional and pharmacological questions than does transcriptional...
Lee, Jae K, Bussey, Kimberly J, Gwadry, Fuad G, Reinhold, William, Riddick, Gregory, Pelletier, Sandra L, ...
Microarray gene-expression profiles are generally validated one gene at a time by real-time RT-PCR. A different approach is described, based on simultaneous mutual validation of large numbers of...
Lee, Jae K., Thomas, Duncan C.
Markov chain–Monte Carlo (MCMC) techniques for multipoint mapping of quantitative trait loci have been developed on nuclear-family and extended-pedigree data. These methods are based on repeated...
Park, Taesung, Kim, Youngchul, Bekiranov, Stefan, Lee, Jae K.
Statistical analysis on tiling array data is extremely challenging due to the astronomically large number of sequence probes, high noise levels of individual probes and limited number of replicates...
Fibrinogen inhibits neurite outgrowth via β3 integrin-mediated phosphorylation of the EGF receptor
Schachtrup, Christian, Lu, Paul, Jones, Leonard L., Lee, Jae K., Lu, Jerry, Sachs, Ben D., ...
Changes in the molecular and cellular composition of the CNS after injury or disease result in the formation of an inhibitory environment that inhibits the regeneration of adult mammalian CNS...
Lee, Jae K., Havaleshko, Dmytro M., Cho, HyungJun, Weinstein, John N., Kaldjian, Eric P., Karpovich, John, ...
The U.S. National Cancer Institute has used a panel of 60 diverse human cancer cell lines (the NCI-60) to screen >100,000 chemical compounds for anticancer activity. However, not all important cancer...
Molecular Credentialing of Rodent Bladder Carcinogenesis Models1
Williams, Paul D, Lee, Jae K, Theodorescu, Dan
Cancer of the urinary bladder is often a result of exposure to chemical carcinogens. Models of this disease have been developed by exposing rodents to N-butyl-N-(4-hydroxybutyl)-nitrosamine (OH-BBN)....
MedMiner: An Internet Tool for Filtering and Organizing Biomedical Information
Uwe Scherf, Lawrence. H. Smith, Jae K. Lee, George S, George S. Michaels, Lawrence Hunter, ...
The trend toward high throughput techniques in molecular biology and the explosion of online scientific data threaten to overwhelm the ability of researchers to take full advantage of available...
Havaleshko, Dmytro M, Smith, Steven Christopher, Cho, HyungJun, Cheon, Sooyoung, Owens, Charles R, Lee, Jae K, ...
Chemotherapy for metastatic bladder cancer is rarely curative. The recently developed small molecule, lapatinib, a dual epidermal growth factor receptor (EGFR)/human epidermal growth factor...