Literature DB >> 11808747

Analysis of large-scale gene expression data.

G Sherlock1.   

Abstract

DNA microarray technology has resulted in the generation of large complex data sets, such that the bottleneck in biological investigation has shifted from data generation, to data analysis. This review discusses some of the algorithms and tools for the analysis and organisation of microarray expression data, including clustering methods, partitioning methods, and methods for correlating expression data to other biological data.

Mesh:

Year:  2001        PMID: 11808747     DOI: 10.1093/bib/2.4.350

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  19 in total

Review 1.  Genome-wide responses of a pathogenic bacterium to its host.

Authors:  David A Relman
Journal:  J Clin Invest       Date:  2002-10       Impact factor: 14.808

2.  Network activity-independent coordinated gene expression program for synapse assembly.

Authors:  Luis M Valor; Paul Charlesworth; Lawrence Humphreys; Chris N G Anderson; Seth G N Grant
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-05       Impact factor: 11.205

3.  Genome-wide transcriptional responses of Escherichia coli K-12 to continuous osmotic and heat stresses.

Authors:  Thusitha S Gunasekera; Laszlo N Csonka; Oleg Paliy
Journal:  J Bacteriol       Date:  2008-03-21       Impact factor: 3.490

4.  Redefining meaningful age groups in the context of disease.

Authors:  Nophar Geifman; Raphael Cohen; Eitan Rubin
Journal:  Age (Dordr)       Date:  2013-01-27

5.  Connective tissue growth factor in regulation of RhoA mediated cytoskeletal tension associated osteogenesis of mouse adipose-derived stromal cells.

Authors:  Yue Xu; Diane R Wagner; Elena Bekerman; Michael Chiou; Aaron W James; Dennis Carter; Michael T Longaker
Journal:  PLoS One       Date:  2010-06-23       Impact factor: 3.240

6.  Coexpression analysis of tomato genes and experimental verification of coordinated expression of genes found in a functionally enriched coexpression module.

Authors:  Soichi Ozaki; Yoshiyuki Ogata; Kunihiro Suda; Atsushi Kurabayashi; Tatsuya Suzuki; Naoki Yamamoto; Yoko Iijima; Taneaki Tsugane; Takashi Fujii; Chiaki Konishi; Shuji Inai; Somnuk Bunsupa; Mami Yamazaki; Daisuke Shibata; Koh Aoki
Journal:  DNA Res       Date:  2010-02-03       Impact factor: 4.458

7.  Multiple common variants for celiac disease influencing immune gene expression.

Authors:  Patrick C A Dubois; Gosia Trynka; Lude Franke; Karen A Hunt; Jihane Romanos; Alessandra Curtotti; Alexandra Zhernakova; Graham A R Heap; Róza Adány; Arpo Aromaa; Maria Teresa Bardella; Leonard H van den Berg; Nicholas A Bockett; Emilio G de la Concha; Bárbara Dema; Rudolf S N Fehrmann; Miguel Fernández-Arquero; Szilvia Fiatal; Elvira Grandone; Peter M Green; Harry J M Groen; Rhian Gwilliam; Roderick H J Houwen; Sarah E Hunt; Katri Kaukinen; Dermot Kelleher; Ilma Korponay-Szabo; Kalle Kurppa; Padraic MacMathuna; Markku Mäki; Maria Cristina Mazzilli; Owen T McCann; M Luisa Mearin; Charles A Mein; Muddassar M Mirza; Vanisha Mistry; Barbara Mora; Katherine I Morley; Chris J Mulder; Joseph A Murray; Concepción Núñez; Elvira Oosterom; Roel A Ophoff; Isabel Polanco; Leena Peltonen; Mathieu Platteel; Anna Rybak; Veikko Salomaa; Joachim J Schweizer; Maria Pia Sperandeo; Greetje J Tack; Graham Turner; Jan H Veldink; Wieke H M Verbeek; Rinse K Weersma; Victorien M Wolters; Elena Urcelay; Bozena Cukrowska; Luigi Greco; Susan L Neuhausen; Ross McManus; Donatella Barisani; Panos Deloukas; Jeffrey C Barrett; Paivi Saavalainen; Cisca Wijmenga; David A van Heel
Journal:  Nat Genet       Date:  2010-02-28       Impact factor: 38.330

8.  Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer.

Authors:  Safiye Celik; Benjamin A Logsdon; Stephanie Battle; Charles W Drescher; Mara Rendi; R David Hawkins; Su-In Lee
Journal:  Genome Med       Date:  2016-06-10       Impact factor: 11.117

9.  An effective non-parametric method for globally clustering genes from expression profiles.

Authors:  Jingyu Hou; Wei Shi; Gang Li; Wanlei Zhou
Journal:  Med Biol Eng Comput       Date:  2007-10-18       Impact factor: 3.079

10.  Genetic variants in RBFOX3 are associated with sleep latency.

Authors:  Najaf Amin; Karla V Allebrandt; Ashley van der Spek; Bertram Müller-Myhsok; Karin Hek; Maris Teder-Laving; Caroline Hayward; Tõnu Esko; Josine G van Mill; Hamdi Mbarek; Nathaniel F Watson; Scott A Melville; Fabiola M Del Greco; Enda M Byrne; Edwin Oole; Ivana Kolcic; Ting-Hsu Chen; Daniel S Evans; Josef Coresh; Nicole Vogelzangs; Juha Karjalainen; Gonneke Willemsen; Sina A Gharib; Lina Zgaga; Evelin Mihailov; Katie L Stone; Harry Campbell; Rutger Ww Brouwer; Ayse Demirkan; Aaron Isaacs; Zoran Dogas; Kristin D Marciante; Susan Campbell; Fran Borovecki; Annemarie I Luik; Man Li; Jouke Jan Hottenga; Jennifer E Huffman; Mirjam Cgn van den Hout; Steven R Cummings; Yurii S Aulchenko; Philip R Gehrman; André G Uitterlinden; Heinz-Erich Wichmann; Martina Müller-Nurasyid; Rudolf Sn Fehrmann; Grant W Montgomery; Albert Hofman; Wen Hong Linda Kao; Ben A Oostra; Alan F Wright; Jacqueline M Vink; James F Wilson; Peter P Pramstaller; Andrew A Hicks; Ozren Polasek; Naresh M Punjabi; Susan Redline; Bruce M Psaty; Andrew C Heath; Martha Merrow; Gregory J Tranah; Daniel J Gottlieb; Dorret I Boomsma; Nicholas G Martin; Igor Rudan; Henning Tiemeier; Wilfred Fj van IJcken; Brenda W Penninx; Andres Metspalu; Thomas Meitinger; Lude Franke; Till Roenneberg; Cornelia M van Duijn
Journal:  Eur J Hum Genet       Date:  2016-05-04       Impact factor: 4.246

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