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- Bioinformatics (2)
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- 3B (1)
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- Cardiac function (1)
- Cell cycle inhibitors (1)
- Computational Biology/Bioinformatics (1)
- FISH Imaging (1)
- Gene-environment interactions; Robustness; Partially linear varying coefficient model; Penalized selection (1)
- Genetic regulation (1)
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Articles 1 - 6 of 6
Full-Text Articles in Life Sciences
Distinct Cardiac Responses To Heat Stress Between Two Broiler Lines Identified By Transcriptome Analysis, Jibin Zhang, Carl J. Schmidt, Susan J. Lamont
Distinct Cardiac Responses To Heat Stress Between Two Broiler Lines Identified By Transcriptome Analysis, Jibin Zhang, Carl J. Schmidt, Susan J. Lamont
Jibin Zhang
Deciphering The Associations Between Gene Expression And Copy Number Alteration Using A Sparse Double Laplacian Shrinkage Approach, Shuangge Ma
Shuangge Ma
Both gene expression levels (GEs) and copy number alterations (CNAs) have important implications in the development of complex diseases. GEs are partly regulated by CNAs, and much effort has been devoted to understanding their relations. The expression of a gene can be regulated by multiple CNAs, and one CNA can regulate the expression of multiple genes. In addition, multiple GEs (CNAs) can be correlated with each other. The existing methods for associating GEs with CNAs have limitations in deciphering the complex data structures. In this study, we develop a sparse double Laplacian shrinkage approach. It jointly models the effects of …
A Penalized Robust Semiparametric Approach For Gene-Environment Interactions, Shuangge Ma
A Penalized Robust Semiparametric Approach For Gene-Environment Interactions, Shuangge Ma
Shuangge Ma
In genetic and genomic studies, gene-environment (G*E) interactions have important implications. Some of the existing G$\times$E interaction methods are limited by analyzing a small number of G factors at a time, by assuming linear effects of E factors, by assuming no data contamination, and by adopting ineffective selection techniques. In this study, we propose a new approach for identifying important G*E interactions. It jointly models the effects of all E and G factors and their interactions. A partially linear varying coefficient model (PLVCM) is adopted to accommodate possible nonlinear effects of E factors. A rank-based loss function is used to …
Jibin Zhang's Ppt For Midwest Meeting.Pdf, Jibin Zhang, Yeunsu Suh, Young Min Choi, Michael E. Davis, Kichoon Lee
Jibin Zhang's Ppt For Midwest Meeting.Pdf, Jibin Zhang, Yeunsu Suh, Young Min Choi, Michael E. Davis, Kichoon Lee
Jibin Zhang
Time Series Data For 3b Image Processing, George Mcnamara
Time Series Data For 3b Image Processing, George Mcnamara
George McNamara
Time series data for 3B image processing
Four time series data sets of Stellaris single molecules RNA FISH (fluorescence in situ hybridization). All four datasets are 301 imaqe planes. FISH probes are to TOP1 mRNA (Topoisomerase I)in Saos osterosarcoma cells.
One dataset is 10 millisecond exposures (very dim), acquired in Streaming acquisition mode (no hardware overhead).
The other three datasets are a three consecutive planes of the same XY field of view.
I have included image processing results for:
PiMP - a fast method developed by Sebastian Munck et al 2012, http://www.ncbi.nlm.nih.gov/pubmed/?term=22357945
and greatly improved performance by Glen Macdonald (Seattle). …
Software To Accompany "A Kernel Machine Approach For Differential Expression Analysis Of Mass Spectrometry-Based Metabolomics Data", Debashis Ghosh
Software To Accompany "A Kernel Machine Approach For Differential Expression Analysis Of Mass Spectrometry-Based Metabolomics Data", Debashis Ghosh
Debashis Ghosh
No abstract provided.