Rebecka Jornsten - Publications
Publication list
For more details on my research projects, please visit the project pages:
- Model Selection and Clustering: Multi-level mixture modeling, Simultaneous subset selection via rate-distortion theory, PClust - clustering based on p-values, DDclust - clustering via the L1 data depth, Simultaneous clustering and subset selection for classification via MDL.
- Microarray analysis - imputation, compression and applications. LinCmb - adaptive missing value imputation, Meta-data based imputation, Compression of Microarray Images, Joint work with the Hart lab.
- Data Depth, Multi-terminal Estimation, and Applications Functional analysis via extensions of the band depth, "Comprestimation", analysis of EEG data.
- Clustering with multiple distance metrics - mixture models with profile transformations. submitted to Biometrics .
- Simultaneous subset selection via rate-distortion theory. (2007) Under review at JCGS
- A Meta-data based method for DNA microarray imputation.
Rebecka Jörnsten, Hui-Yu Wang and Ming Ouyang
To appear in BMC Bioinformatics, 2007
- MIXL, Multi-level mixture modeling (2006) Under revision for Biostatistics
Joint work with Sunduz Keles
- Functional analysis via extensions of the Band Depth
Sara Lopez-Pintado and Rebecka Jornsten
(2006) To appear in IMS Lecture Notes -- Monograph Series, Volume 54
TITLE: Complex datasets and inverse problems: tomography, networks
and beyond.
Regina Liu, William Strawderman & Cun-Hui Zhang,, Editors
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A Novel Role for Snapin in Dendrite Patterning: Interaction with Cypin
Maxine Chen, Kenyatta G. Lucas , Barbara F. Akum, Gaithri Balasingam, Tamara M. Stawicki, Janine M. Provost, Gary M. Riefler, Rebecka J. Jörnsten, and Bonnie L. Firestein.
Molecular Biology of the Cell, Vol. 16, Issue 11, 5103-5114, November 2005.
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Activity-Independent Regulation of Dendrite Patterning by Postsynaptic Density Protein PSD-95
Erik I. Charych, Barbara F. Akum, Joshua S. Goldberg, Rebecka J. Jörnsten, Christopher Rongo, James Q. Zheng, and Bonnie L. Firestein
The Journal of Neuroscience, October 4, 2006, 26(40):10164-10176;
- DNA microarray data imputation and significance analysis of differential expression
Rebecka Jörnsten, Hui-Yu Wang, William J. Welsh and Ming Ouyang
Bioinformatics 2005 21(22):4155-4161
- DDclust Clustering and Classification based on the L1 data depth,
Rebecka Jornsten
Journal of Multivariate Analysis
Volume 90, Issue 1 , July 2004, Pages 67-89
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Simultaneous clustering and subset selection via MDL , Advances in Minimum Description Length: Theory and Applications, MIT press. (2004) P. Grunwald, IJ Myung, M. Pitt Editors.
- PClust Clustering based on Pvalues, Working paper.
Joint work with Jun Li and Regina Liu
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Compressing Genomic and Proteomic Array Images for Statistical Analysis.
Rebecka Jornsten and Bin Yu
Invited book chapter Genomic Signal Processing and Statistics. (2004) E.R. Dougherty, I. Shmulevich, J. Chen, Z.J. Wang Editors.
- Screening anti-inflammatory compounds in injured spinal cord with
microarrays: A comparison of bioinformatics analysis approaches.
Jonathan Z. Pan, Rebecka Jörnsten and Ronald P. Hart
Physiol. Genomics (February 17, 2004).
- Simultaneous Gene Clustering and Subset Selection for Classification via MDL
Rebecka Jornsten and Bin Yu
Bioinformatics, 2003 19: 1100-1109. R code is avilable here.
- A neurobiological theory of meaning in perception.
Part 3. Multiple cortical areas synchronize without loss of local autonomy.
Walter J Freeman, Gyongyi Gaal, Rebecka Jornsten
International Journal of Bifurcation & Chaos (2003)
- A Robust Clustering Method and Visualization Tool Based on Data Depth,
Rebecka Jornsten, Yehuda Vardi and Cunhui Zhang
Statistical data analysis based on the L1norm and related methods. Birkhauser 2002, Statistics for industry and technology. Y. Dodge editor.
- On the bit-plane compression of Microarray images
Rebecka Jornsten, Yehuda Vardi and Cunhui Zhang
Statistical Data Analysis based on the L1-norm and Related methods. Birkhauser Statistics for Industry and technology, Y. Dodge editor.
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Multiterminal estimation - extensions and a geometric intepretation, Peer-reviewed extended abstract for ISIT 2002, Lausanne
- Microarray image compression: SLOCO and the effects of information loss.
Rebecka Jornsten, Bin Yu, Wei Wang and Kannan Ramachandran
EURASIP Signal Processing Journal, Special issue on genomic signal processing, (2002), 83/4, 859-869
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Comprestimation: Microarray images in abundance, Proc. of Conference on Information Science and Systems, Princeton, 2000
- Insensitivity of Adaptive Quantization to Model Estimation in Wavelet Subband Coding
Rebecka Jornsten and Bin Yu
Technical report, UC Berkeley, Department of Statistics
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Data compression and Its Statistical Implications, with applications to the analysis of Microarray images UC Berkeley, PhD thesis, Dec 2001
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