A Patient-Gene Model for Temporal Expression Profiles in Clinical Studies-Reference-Cited by-同舟云学术

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A Patient-Gene Model for Temporal Expression Profiles in Clinical Studies

Published:2007-04 Issue:3 Volume:14 Page:324-338
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Kaminski Naftali¹,Bar-Joseph Ziv²³

Affiliation:

1. Simmons Center for Interstitial Lung Disease, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania.

2. Departments of Machine Learning, Carnegie Mellon University, Pittsburgh, Pennsylvania.

3. Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2007.0001

Reference20 articles.

1. Aligning gene expression time series with time warping algorithms

2. Blood transcriptional signatures of multiple sclerosis: Unique gene expression of disease activity

3. Analyzing time series gene expression data

4. Comparing the continuous representation of time-series expression profiles to identify differentially expressed genes

5. Continuous Representations of Time-Series Gene Expression Data

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiple sclerosis: clinical profiling and data collection as prerequisite for personalized medicine approach;BMC Neurology;2016-08-02

2. SMARTS: reconstructing disease response networks from multiple individuals using time series gene expression data;Bioinformatics;2014-12-04

3. Classification of Time Series Gene Expression in Clinical Studies via Integration of Biological Network;PLoS ONE;2013-03-13

4. Lévy noise induced switch in the gene transcriptional regulatory system;Chaos: An Interdisciplinary Journal of Nonlinear Science;2013-03

5. Studying and modelling dynamic biological processes using time-series gene expression data;Nature Reviews Genetics;2012-07-18

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