People - MERGE
merge.cs.washington.edu
Su-In Lee Safiye Celik Benjamin A. Logsdon Scott M. Lundberg Timothy J. Martins Vivian M. Oehler Elihu H. Estey Chris P. Miller Sylvia Chien Akanksha Saxena
Safiye Celik - DBLPdblp.org › Persons
dblp.org
Apr. 8, · Safiye Celik, Benjamin A. Logsdon, Su-In Lee: Efficient Dimensionality Reduction for High-Dimensional Network Estimation.
A Machine Learning Approach to Integrate Big Data for ...pubmed.ncbi.nlm.nih.gov › ...
pubmed.ncbi.nlm.nih.gov
Su-In Lee , Safiye Celik , Benjamin A Logsdon , Scott M Lundberg , Timothy J Martins , Vivian G Oehler , Elihu H Estey , Chris P Miller , Sylvia ...
All web results to the name "Safiye Celik"
MGL citation info
cran.r-project.org
Efficient Dimensionality Reduction for High-Dimensional Network Estimation, Safiye Celik, Benjamin A. Logsdon, Su-In Lee, Proceedings of The 31st ...
Module Graphical Lasso – R documentation - Quantargowww.quantargo.com › help › latest › packages › MGL
www.quantargo.com
Please refer to: Efficient Dimensionality Reduction for High-Dimensional Network Estimation, Safiye Celik, Benjamin A. Logsdon, Su-In Lee, Proceedings of ...
r / packages / r-mgl :: Anaconda.organaconda.org › r-mgl
anaconda.org
Please refer to: Efficient Dimensionality Reduction for High-Dimensional Network Estimation, Safiye Celik, Benjamin A. Logsdon, Su-In Lee, Proceedings of ...
People - MGL Project
sites.google.com
MGL Project. Search this site. Home; Data; Methods; People; Navigation. Home. Data. Methods. People. People. Safiye Celik. Benjamin A. Logsdon. Su-In Lee. Sign in ...
MGL Project
sites.google.com
Safiye Celik, Benjamin A. Logsdon, Su-In Lee Abstract We propose module graphical lasso (MGL), an aggressive dimensionality reduction and network estimation technique for a highdimensional Gaussian graphical model (GGM).
CRAN - Package INSPIRE
cran.r-project.org
INSPIRE: Inferring Shared Modules from Multiple Gene Expression Datasets with Partially Overlapping Gene Sets Safiye Celik, Benjamin A. Logsdon ...
Efficient Dimensionality Reduction for High-Dimensional Network...
proceedings.mlr.press
Efficient Dimensionality Reduction for High-Dimensional Network EstimationSafiye Celik, Benjamin Logsdon, Su-In LeeWe propose module graphical lass...
INSPIRE
inspire.cs.washington.edu
Safiye Celik, Benjamin A Logsdon, Stephanie Battle, Charles W Drescher, Mara Rendi, R David Hawkins, Su-In Lee. Abstract. Patterns in expression data conserved across multiple independent disease studies are likely to represent important molecular events underlying the disease.
Software - Lee Lab
sites.google.com
Safiye Celik, Benjamin Logsdon and Su-In Lee (2014). Efficient Dimensionality Reduction for High-Dimensional Network Estimation, International Conference ...
INSPIRE: Inferring Shared Modules from Multiple Gene ...
rdrr.io
May 02, · A method to infer modules of co-expressed genes and the dependencies among the modules from multiple expression datasets that may contain different sets of genes. Please refer to: Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer, Safiye Celik, Benjamin A. Logsdon, Stephanie Battle, …
MERGE
merge.cs.washington.edu
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia. Su-In Lee *,E, Safiye Celik *, Benjamin A. Logsdon, Scott M. Lundberg, Timothy J. Martins, Vivian M. Oehler, Elihu H. Estey, Chris P. Miller, Sylvia Chien, Akanksha Saxena, C. Anthony Blau, Pamela S. Becker * These authors contributed equally to the work.
MGL: Module Graphical Lasso version 1.1 from CRAN
rdrr.io
May 02, · An aggressive dimensionality reduction and network estimation technique for a high-dimensional Gaussian graphical model (GGM). Please refer to: Efficient Dimensionality Reduction for High-Dimensional Network Estimation, Safiye Celik, Benjamin A. Logsdon, Su-In Lee, Proceedings of The 31st International Conference on Machine Learning, 2014, p
The INSPIRE package. It's crantastic!
crantastic.org
inspire.cs.washington.edu http://cran.r-project.org/web/packages/INSPIRE Safiye Celik, Benjamin A. Logsdon, Stephanie Battle, Charles W. Drescher, ...
[PDF] Efficient Dimensionality Reduction for High-Dimensional Network...
www.semanticscholar.org
Efficient Dimensionality Reduction for High-Dimensional Network Estimation. Safiye Celik, Benjamin A. Logsdon, Su-In Lee; ICML; 2014; View PDF; Cite; Save
A machine learning approach to integrate big data Altmetricwww.altmetric.com › details
www.altmetric.com
Su-In Lee, Safiye Celik, Benjamin A. Logsdon, Scott M. Lundberg, Timothy J. Martins, Vivian G. Oehler, Elihu H. Estey, Chris P. Miller, Sylvia Chien, Jin Dai, ...
Su-In Lee | Biomedical Informatics and Medical Education
bime.uw.edu
Safiye Celik, Benjamin A. Logsdon, Stephanie Battle, Charles W. Drescher, Mara H. Rendi, David R. Hawkins, and Su-In Lee. Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer.
Altmetric – Extracting a low-dimensional description of multiple gene...
www.altmetric.com
Safiye Celik, Benjamin A. Logsdon, Stephanie Battle, Charles W. Drescher, Mara Rendi, R. David Hawkins, Su-In Lee. Abstract. Patterns in expression data ...
AIMS Lab - Publications
leelab.cs.washington.edu
Safiye Celik, Benjamin A Logsdon and Su-In Lee (2014).
NSF Award Search: Award # ABI Innovation: A Probabilistic...
www.nsf.gov
Safiye Celik, Benjamin A. Logsdon, Stephanie Battle, Charles W. Drescher, Mara Rendi, R. David Hawkins, and Su-In Lee. "Extracting a ...
CRAN - Package MGL - The Comprehensive R Archive Networkcran.nexr.com › web › packages › MGL
cran.nexr.com
Please refer to: Efficient Dimensionality Reduction for High-Dimensional Network Estimation, Safiye Celik, Benjamin A. Logsdon, Su-In Lee, ...
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