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Items: 17

1.

Regularization Paths for Generalized Linear Models via Coordinate Descent.

Friedman J, Hastie T, Tibshirani R.

J Stat Softw. 2010;33(1):1-22.

2.

Analysis of factorial time-course microarrays with application to a clinical study of burn injury.

Zhou B, Xu W, Herndon D, Tompkins R, Davis R, Xiao W, Wong WH; Inflammation and Host Response to Injury Program, Toner M, Warren HS, Schoenfeld DA, Rahme L, McDonald-Smith GP, Hayden D, Mason P, Fagan S, Yu YM, Cobb JP, Remick DG, Mannick JA, Lederer JA, Gamelli RL, Silver GM, West MA, Shapiro MB, Smith R, Camp DG 2nd, Qian W, Storey J, Mindrinos M, Tibshirani R, Lowry S, Calvano S, Chaudry I, West MA, Cohen M, Moore EE, Johnson J, Moldawer LL, Baker HV, Efron PA, Balis UG, Billiar TR, Ochoa JB, Sperry JL, Miller-Graziano CL, De AK, Bankey PE, Finnerty CC, Jeschke MG, Minei JP, Arnoldo BD, Hunt JL, Horton J, Cobb JP, Brownstein B, Freeman B, Maier RV, Nathens AB, Cuschieri J, Gibran N, Klein M, O'Keefe G.

Proc Natl Acad Sci U S A. 2010 Jun 1;107(22):9923-8. doi: 10.1073/pnas.1002757107. Epub 2010 May 17.

3.

Sparse partial least squares regression for simultaneous dimension reduction and variable selection.

Chun H, Keleş S.

J R Stat Soc Series B Stat Methodol. 2010 Jan;72(1):3-25.

4.

Gene expression pathway analysis to predict response to neoadjuvant docetaxel and capecitabine for breast cancer.

Korde LA, Lusa L, McShane L, Lebowitz PF, Lukes L, Camphausen K, Parker JS, Swain SM, Hunter K, Zujewski JA.

Breast Cancer Res Treat. 2010 Feb;119(3):685-99. doi: 10.1007/s10549-009-0651-3.

PMID:
20012355
5.

Lymphatic metastasis of breast cancer cells is associated with differential gene expression profiles that predict cancer stem cell-like properties and the ability to survive, establish and grow in a foreign environment.

Pandit TS, Kennette W, Mackenzie L, Zhang G, Al-Katib W, Andrews J, Vantyghem SA, Ormond DG, Allan AL, Rodenhiser DI, Chambers AF, Tuck AB.

Int J Oncol. 2009 Aug;35(2):297-308.

PMID:
19578743
6.

Gene expression variation to predict 10-year survival in lymph-node-negative breast cancer.

Karlsson E, Delle U, Danielsson A, Olsson B, Abel F, Karlsson P, Helou K.

BMC Cancer. 2008 Sep 8;8:254. doi: 10.1186/1471-2407-8-254.

7.

Partial mixture model for tight clustering of gene expression time-course.

Yuan Y, Li CT, Wilson R.

BMC Bioinformatics. 2008 Jun 18;9:287. doi: 10.1186/1471-2105-9-287.

8.

Multiple gene expression classifiers from different array platforms predict poor prognosis of colorectal cancer.

Lin YH, Friederichs J, Black MA, Mages J, Rosenberg R, Guilford PJ, Phillips V, Thompson-Fawcett M, Kasabov N, Toro T, Merrie AE, van Rij A, Yoon HS, McCall JL, Siewert JR, Holzmann B, Reeve AE.

Clin Cancer Res. 2007 Jan 15;13(2 Pt 1):498-507.

9.

Gene expression profilers and conventional clinical markers to predict distant recurrences for premenopausal breast cancer patients after adjuvant chemotherapy.

Niméus-Malmström E, Ritz C, Edén P, Johnsson A, Ohlsson M, Strand C, Ostberg G, Fernö M, Peterson C.

Eur J Cancer. 2006 Nov;42(16):2729-37. Epub 2006 Oct 4.

PMID:
17023159
10.

A gene-expression signature to predict survival in breast cancer across independent data sets.

Naderi A, Teschendorff AE, Barbosa-Morais NL, Pinder SE, Green AR, Powe DG, Robertson JF, Aparicio S, Ellis IO, Brenton JD, Caldas C.

Oncogene. 2007 Mar 1;26(10):1507-16. Epub 2006 Aug 28.

PMID:
16936776
11.

Significance analysis of time course microarray experiments.

Storey JD, Xiao W, Leek JT, Tompkins RG, Davis RW.

Proc Natl Acad Sci U S A. 2005 Sep 6;102(36):12837-42. Epub 2005 Sep 2.

13.

Semi-supervised methods to predict patient survival from gene expression data.

Bair E, Tibshirani R.

PLoS Biol. 2004 Apr;2(4):E108. Epub 2004 Apr 13.

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Objective estimates of the probability of death from burn injuries.

Ryan CM, Schoenfeld DA, Thorpe WP, Sheridan RL, Cassem EH, Tompkins RG.

N Engl J Med. 1998 Feb 5;338(6):362-6.

17.

Ridge regression and its application to medical data.

Jain RK.

Comput Biomed Res. 1985 Aug;18(4):363-8.

PMID:
4042638
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