BMC Bioinformatics

official impact factor 3.03
Search for
Advanced search
BMC Bioinformatics
Tools
Share this article

This article is part of the supplement: Italian Society of Bioinformatics (BITS): Annual Meeting 2007

Open Access Highly Access

Time-course analysis of genome-wide gene expression data from hormone-responsive human breast cancer cells

Margherita Mutarelli, Luigi Cicatiello, Lorenzo Ferraro, Olì MV Grober, Maria Ravo, Angelo M Facchiano, Claudia Angelini and Alessandro Weisz*

BMC Bioinformatics 2008, 9(Suppl 2):S12 doi:10.1186/1471-2105-9-S2-S12

Accesses  

  • Last 30 days: 154 accesses
  • Last 365 days: 1624 accesses
  • All time: 7438 accesses

Cited by

BioMed Central: 2 citations

Research article   Open Access Highly Accessed

Dynamic changes in gene expression in vivo predict prognosis of tamoxifen-treated patients with breast cancer

Karen J Taylor, Andrew H Sims, Liang Liang, Dana Faratian, Morwenna Muir, Graeme Walker, Barbara Kuske, J Michael Dixon, David A Cameron, David J Harrison, Simon P Langdon Breast Cancer Research 2010, 12:R39 (22 June 2010)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

Software   Open Access Highly Accessed

BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments

Claudia Angelini, Luisa Cutillo, Daniela De Canditiis, Margherita Mutarelli, Marianna Pensky BMC Bioinformatics 2008, 9:415 (6 October 2008)

Abstract | Full text | PDF | PubMed

Google Scholar: View citations

ISI Web of Science: View citations

PubMed Central: View citations