Literature DB >> 21071809

Probabilistic analysis of probe reliability in differential gene expression studies with short oligonucleotide arrays.

Leo Lahti1, Laura L Elo, Tero Aittokallio, Samuel Kaski.   

Abstract

Probe defects are a major source of noise in gene expression studies. While existing approaches detect noisy probes based on external information such as genomic alignments, we introduce and validate a targeted probabilistic method for analyzing probe reliability directly from expression data and independently of the noise source. This provides insights into the various sources of probe-level noise and gives tools to guide probe design.

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Year:  2011        PMID: 21071809     DOI: 10.1109/TCBB.2009.38

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  15 in total

1.  Analysis of discordant Affymetrix probesets casts serious doubt on idea of microarray data reutilization.

Authors:  Andrey Marakhonov; Nataliya Sadovskaya; Ivan Antonov; Ancha Baranova; Mikhail Skoblov
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

Review 2.  Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review.

Authors:  Leo Lahti; Martin Schäfer; Hans-Ulrich Klein; Silvio Bicciato; Martin Dugas
Journal:  Brief Bioinform       Date:  2012-03-22       Impact factor: 11.622

3.  Intestinal microbiota in healthy adults: temporal analysis reveals individual and common core and relation to intestinal symptoms.

Authors:  Jonna Jalanka-Tuovinen; Anne Salonen; Janne Nikkilä; Outi Immonen; Riina Kekkonen; Leo Lahti; Airi Palva; Willem M de Vos
Journal:  PLoS One       Date:  2011-07-28       Impact factor: 3.240

4.  Probe Region Expression Estimation for RNA-Seq Data for Improved Microarray Comparability.

Authors:  Karolis Uziela; Antti Honkela
Journal:  PLoS One       Date:  2015-05-12       Impact factor: 3.240

5.  Supplementation with Lactobacillus plantarum WCFS1 Prevents Decline of Mucus Barrier in Colon of Accelerated Aging Ercc1-/Δ7 Mice.

Authors:  Adriaan A van Beek; Bruno Sovran; Floor Hugenholtz; Ben Meijer; Joanne A Hoogerland; Violeta Mihailova; Corine van der Ploeg; Clara Belzer; Mark V Boekschoten; Jan H J Hoeijmakers; Wilbert P Vermeij; Paul de Vos; Jerry M Wells; Pieter J M Leenen; Claudio Nicoletti; Rudi W Hendriks; Huub F J Savelkoul
Journal:  Front Immunol       Date:  2016-10-07       Impact factor: 7.561

6.  A fully scalable online pre-processing algorithm for short oligonucleotide microarray atlases.

Authors:  Leo Lahti; Aurora Torrente; Laura L Elo; Alvis Brazma; Johan Rung
Journal:  Nucleic Acids Res       Date:  2013-04-05       Impact factor: 16.971

7.  Phylogenetic and Metabolic Tracking of Gut Microbiota during Perinatal Development.

Authors:  Federica Del Chierico; Pamela Vernocchi; Andrea Petrucca; Paola Paci; Susana Fuentes; Giulia Praticò; Giorgio Capuani; Andrea Masotti; Sofia Reddel; Alessandra Russo; Cristina Vallone; Guglielmo Salvatori; Elsa Buffone; Fabrizio Signore; Giuliano Rigon; Andrea Dotta; Alfredo Miccheli; Willem M de Vos; Bruno Dallapiccola; Lorenza Putignani
Journal:  PLoS One       Date:  2015-09-02       Impact factor: 3.240

8.  Fat, fibre and cancer risk in African Americans and rural Africans.

Authors:  Stephen J D O'Keefe; Jia V Li; Leo Lahti; Junhai Ou; Franck Carbonero; Khaled Mohammed; Joram M Posma; James Kinross; Elaine Wahl; Elizabeth Ruder; Kishore Vipperla; Vasudevan Naidoo; Lungile Mtshali; Sebastian Tims; Philippe G B Puylaert; James DeLany; Alyssa Krasinskas; Ann C Benefiel; Hatem O Kaseb; Keith Newton; Jeremy K Nicholson; Willem M de Vos; H Rex Gaskins; Erwin G Zoetendal
Journal:  Nat Commun       Date:  2015-04-28       Impact factor: 14.919

9.  Tipping elements in the human intestinal ecosystem.

Authors:  Leo Lahti; Jarkko Salojärvi; Anne Salonen; Marten Scheffer; Willem M de Vos
Journal:  Nat Commun       Date:  2014-07-08       Impact factor: 14.919

10.  A novel atlas of gene expression in human skeletal muscle reveals molecular changes associated with aging.

Authors:  Jing Su; Carl Ekman; Nikolay Oskolkov; Leo Lahti; Kristoffer Ström; Alvis Brazma; Leif Groop; Johan Rung; Ola Hansson
Journal:  Skelet Muscle       Date:  2015-10-09       Impact factor: 4.912

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