Journal ArticleDOI
Classification of pediatric acute lymphoblastic leukemia by gene expression profiling
Mary E. Ross,Xiaodong Zhou,Guangchun Song,Sheila A. Shurtleff,Kevin Girtman,W. Kent Williams,Hsi Che Liu,Rami Mahfouz,Susana C. Raimondi,Noel Lenny,Anami Patel,James R. Downing +11 more
TLDR
Analysis of leukemic blasts from 132 diagnostic samples using higher density oligonucleotide arrays revealed new insights into the altered biology underlying these leukemias, including T-cell lineage ALL and hyperdiploid karyotypes with more than 50 chromosomes.About:
This article is published in Blood.The article was published on 2003-10-15. It has received 592 citations till now. The article focuses on the topics: Cost effectiveness.read more
Citations
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Journal ArticleDOI
Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer
Scott A. Tomlins,Daniel R. Rhodes,Sven Perner,Saravana M. Dhanasekaran,Rohit Mehra,Xiao-Wei Sun,Sooryanarayana Varambally,Xuhong Cao,Joelle Tchinda,Rainer Kuefer,Charles Lee,James E. Montie,Rajal B. Shah,Kenneth J. Pienta,Mark A. Rubin,Arul M. Chinnaiyan +15 more
TL;DR: In this article, the authors used a bioinformatics approach to discover candidate oncogenic chromosomal aberrations on the basis of outlier gene expression and identified recurrent gene fusions of the 5' untranslated region of TMPRSS2 to ERG or ETV1.
Journal ArticleDOI
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
TL;DR: A new methodology of class discovery and clustering validation tailored to the task of analyzing gene expression data is presented, and in conjunction with resampling techniques, it provides for a method to represent the consensus across multiple runs of a clustering algorithm and to assess the stability of the discovered clusters.
Journal ArticleDOI
Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia
Charles G. Mullighan,Salil Goorha,Ina Radtke,Christopher B. Miller,Elaine Coustan-Smith,James Dalton,Kevin Girtman,Susan Mathew,Jing Ma,Stanley Pounds,Xiaoping Su,Ching-Hon Pui,Mary V. Relling,William E. Evans,Sheila A. Shurtleff,James R. Downing +15 more
TL;DR: It is suggested that direct disruption of pathways controlling B-cell development and differentiation contributes to B-progenitor ALL pathogenesis and the power of high-resolution, genome-wide approaches to identify new molecular lesions in cancer.
Journal ArticleDOI
The molecular classification of multiple myeloma
Fenghuang Zhan,Yongsheng Huang,Yongsheng Huang,Simona Colla,Simona Colla,James P. Stewart,James P. Stewart,Ichiro Hanamura,Ichiro Hanamura,Sushil K. Gupta,Sushil K. Gupta,Joshua Epstein,Joshua Epstein,Shmuel Yaccoby,Shmuel Yaccoby,Jeffrey R. Sawyer,Jeffrey R. Sawyer,Bart Burington,Bart Burington,Elias Anaissie,Elias Anaissie,Klaus Hollmig,Klaus Hollmig,Mauricio Pineda-Roman,Mauricio Pineda-Roman,Guido J Tricot,Guido J Tricot,Frits van Rhee,Frits van Rhee,Ronald Walker,Ronald Walker,Maurizio Zangari,Maurizio Zangari,John Crowley,John Crowley,Bart Barlogie,Bart Barlogie,John D. Shaughnessy +37 more
TL;DR: A subset of cases with a predominating myeloid gene expression signature had more favorable baseline characteristics and superior prognosis to those lacking this signature, suggesting that this signature is linked to disease progression.
Journal ArticleDOI
Selective killing of mixed lineage leukemia cells by a potent small-molecule DOT1L inhibitor
Scott R. Daigle,Edward J. Olhava,Carly A. Therkelsen,Christina R. Majer,Christopher J. Sneeringer,Jeffrey Song,L. Danielle Johnston,Margaret Porter Scott,Jesse Smith,Yonghong Xiao,Lei Jin,Kevin Wayne Kuntz,Richard Chesworth,Mikel P. Moyer,Kathrin M. Bernt,Jen-Chieh Tseng,Andrew L. Kung,Scott A. Armstrong,Robert A. Copeland,Victoria M. Richon,Roy M. Pollock +20 more
TL;DR: In vivo administration of EPZ004777 leads to extension of survival in a mouse MLL xenograft model, providing compelling support for DOT1L inhibition as a basis for targeted therapeutics against MLL.
References
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Book
Data Mining: Practical Machine Learning Tools and Techniques
TL;DR: This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.
Journal ArticleDOI
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.
Todd R. Golub,Todd R. Golub,Donna K. Slonim,Pablo Tamayo,Christine Huard,Michelle Gaasenbeek,Jill P. Mesirov,Hilary A. Coller,Mignon L. Loh,James R. Downing,Michael A. Caligiuri,Clara D. Bloomfield,Eric S. Lander +12 more
TL;DR: A generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case and suggests a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.
Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Journal ArticleDOI
Data mining: practical machine learning tools and techniques with Java implementations
Ian H. Witten,Eibe Frank +1 more
TL;DR: This presentation discusses the design and implementation of machine learning algorithms in Java, as well as some of the techniques used to develop and implement these algorithms.
Journal ArticleDOI
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
Marc J. van de Vijver,Yudong D. He,Laura J. van't Veer,Hongyue Dai,Augustinus A. M. Hart,D.W. Voskuil,George J. Schreiber,Johannes L. Peterse,Christopher J. Roberts,Matthew J. Marton,Mark Parrish,Douwe Atsma,Anke T. Witteveen,Annuska M. Glas,Leonie J. M. J. Delahaye,Tony van de Velde,Harry Bartelink,Sjoerd Rodenhuis,Emiel J. Th. Rutgers,Stephen H. Friend,René Bernards +20 more
TL;DR: The gene-expression profile studied is a more powerful predictor of the outcome of disease in young patients with breast cancer than standard systems based on clinical and histologic criteria.
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Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling.
Eng Juh Yeoh,Mary E. Ross,Sheila A. Shurtleff,W. Kent Williams,Divyen H. Patel,Rami Mahfouz,Frederick G. Behm,Susana C. Raimondi,Mary V. Relling,Anami Patel,Cheng Cheng,Dario Campana,Dawn Wilkins,Xiaodong Zhou,Jinyan Li,Huiqing Liu,Ching-Hon Pui,William E. Evans,Clayton W. Naeve,Limsoon Wong,James R. Downing +20 more