Terence P Speed
Terence P Speed
Adresse e-mail validée de wehi.edu.au
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Exploration, normalization, and summaries of high density oligonucleotide array probe level data
RA Irizarry, B Hobbs, F Collin, YD Beazer‐Barclay, KJ Antonellis, U Scherf, ...
Biostatistics 4 (2), 249-264, 2003
A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
BM Bolstad, RA Irizarry, M Åstrand, TP Speed
Bioinformatics 19 (2), 185-193, 2003
Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1
RGW Verhaak, KA Hoadley, E Purdom, V Wang, Y Qi, MD Wilkerson, ...
Cancer cell 17 (1), 98-110, 2010
Summaries of Affymetrix GeneChip probe level data
RA Irizarry, BM Bolstad, F Collin, LM Cope, B Hobbs, TP Speed
Nucleic acids research 31 (4), e15-e15, 2003
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
Cancer Genome Atlas Research Network
Nature 455 (7216), 1061, 2008
Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation
YH Yang, S Dudoit, P Luu, DM Lin, V Peng, J Ngai, TP Speed
Nucleic acids research 30 (4), e15-e15, 2002
Integrated genomic analyses of ovarian carcinoma
Cancer Genome Atlas Research Network
Nature 474 (7353), 609, 2011
Comparison of discrimination methods for the classification of tumors using gene expression data
S Dudoit, J Fridlyand, TP Speed
Journal of the American statistical association 97 (457), 77-87, 2002
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
RM Neve, K Chin, J Fridlyand, J Yeh, FL Baehner, T Fevr, L Clark, ...
Cancer cell 10 (6), 515-527, 2006
Bioinformatics and computational biology solutions using R and Bioconductor
R Gentleman, V Carey, W Huber, R Irizarry, S Dudoit
Springer Science & Business Media, 2006
Normalization of cDNA microarray data
GK Smyth, T Speed
Methods 31 (4), 265-273, 2003
Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments
S Dudoit, YH Yang, MJ Callow, TP Speed
Statistica sinica 12 (1), 111-140, 2002
Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data
M Dai, P Wang, AD Boyd, G Kostov, B Athey, EG Jones, WE Bunney, ...
Nucleic acids research 33 (20), e175-e175, 2005
On the application of probability theory to agricultural experiments. Essay on principles. Section 9.
J Splawa-Neyman, DM Dabrowska, TP Speed
Statistical Science, 465-472, 1990
International network of cancer genome projects
International Cancer Genome Consortium
Nature 464 (7291), 993, 2010
GOstat: find statistically overrepresented Gene Ontologies within a group of genes
T Beissbarth, TP Speed
Bioinformatics 20 (9), 1464-1465, 2004
Discrete-parameter martingales
J Neveu, TP Speed
North-Holland, 1975
Brownian motion
T Hida
Springer-Verlag, 1980
Integrated genomic analyses of ovarian carcinoma
D Bell, A Berchuck, M Birrer, J Chien, DW Cramer, F Dao, R Dhir, ...
Nature Publishing Group, 2011
Design issues for cDNA microarray experiments
YH Yang, T Speed
Nature Reviews Genetics 3 (8), 579-588, 2002
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