Search results for: MICROARRAY

• Microarrays

  Journals

  eISSN: 2076-3905

• Efficient Algorithm for Microarray Probes Re-annotation

  Publication

  • P. Foszner
  • A. Gruca
  • A. Polanski
  • M. Marczyk
  • R. Jaksik
  • J. Polanska

  - Year 2011

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• An Efficient Algorithm for Microarray Probes Re-annotation

  Publication

  • P. Foszner
  • A. Gruca
  • A. Polanski
  • M. Marczyk
  • R. Jaksik
  • J. Polanska

  - Year 2014

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• Microarrays and Dynamics of Fluorescent Dyes

  Publication

  • M. Wysocka
  • M. Kitamatsu
  • A. Lesner

  - Year 2013

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• Gaussian Mixture Decomposition of Time-Course DNA Microarray Data

  Publication

  • J. Polańska
  • P. Widĺak
  • J. Rzeszowska-Wolny
  • M. Kimmel
  • A. Polański
  • J. Polanska

  - Year 2007

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• Deep Data Analysis of a Large Microarray Collection for Leukemia Biomarker Identification

  Publication

  • W. Labaj
  • A. Papiez
  • J. Polanska
  • A. Polanski

  - Year 2016

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• Microarray analysis of differentially expressed genes in cells resistant to HIV-1

  Publication

  • A. Kartvelishvili
  • A. Lesner
  • M. Szponar
  • M. Simm

  - IMMUNOLOGY LETTERS - Year 2004

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• Transcriptomic responses to wounding: meta-analysis of gene expression microarray data

  Publication

  • P. Sass
  • M. Dąbrowski
  • A. Charzyńska
  • P. Sachadyn

  - BMC GENOMICS - Year 2017

  Background A vast amount of microarray data on transcriptomic response to injury has been collected so far. We designed the analysis in order to identify the genes displaying significant changes in expression after wounding in different organisms and tissues. This meta-analysis is the first study to compare gene expression profiles in response to wounding in as different tissues as heart, liver, skin, bones, and spinal cord, and...

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• Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition

  Publication

  • M. Marczyk
  • R. Jaksik
  • A. Polanski
  • J. Polanska

  - BMC BIOINFORMATICS - Year 2013

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• Transcriptomic Effects of Estrogen Starvation and Induction in the MCF7 Cells. The Meta-analysis of Microarray Results

  Publication

  • A. Stanisławska-sachadyn
  • P. Sachadyn
  • J. Limon

  - CURRENT PHARMACEUTICAL BIOTECHNOLOGY - Year 2015

  Estrogen is one of the most important signaling molecules which targets a number of genes. Estrogen levels regulate cell proliferation and a plethora of metabolic processes, which may interfere with a range of medical conditions and drug metabolism. The MCF7 breast cancer cell line, expressing the estrogen receptor α, is a well-studied model of cellular answer to estrogen. The aim of this study was to characterize transcriptomic...

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