Publications
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A simulation model to predict the impact of prophylactic surgery and screening on the life expectancy of BRCA1 and BRCA2 mutation carriers.
Sigal BM,
Munoz DF, Kurian AW, Plevritis SK.
Cancer Epidemiol Biomarkers Prev.
2012;
21
(7):
1066-77
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Comparing the benefits of screening for breast cancer and lung cancer using a novel natural history model.
Lin RS,
Plevritis SK.
Cancer Causes Control.
2012;
23
(1):
175-85
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CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data.
Linderman MD,
Bjornson Z, Simonds EF, Qiu P, Bruggner RV, Sheode K, Meng TH, Plevritis SK, Nolan GP.
Bioinformatics.
2012;
28
(18):
2400-1
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Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results.
Gevaert O,
Xu J, Hoang CD, Leung AN, Xu Y, Quon A, Rubin DL, Napel S, Plevritis SK.
Radiology.
2012;
264
(2):
387-96
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Online tool to guide decisions for BRCA1/2 mutation carriers.
Kurian AW,
Munoz DF, Rust P, Schackmann EA, Smith M, Clarke L, Mills MA, Plevritis SK.
J Clin Oncol.
2012;
30
(5):
497-506
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Prognostic PET 18F-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer.
Nair VS,
Gevaert O, Davidzon G, Napel S, Graves EE, Hoang CD, Shrager JB, Quon A, Rubin DL, Plevritis SK.
Cancer Res.
2012;
72
(15):
3725-34
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Discovering biological progression underlying microarray samples.
Qiu P,
Gentles AJ, Plevritis SK.
PLoS Comput Biol.
2011;
7
(4):
e1001123
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Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE.
Qiu P,
Simonds EF, Bendall SC, Gibbs KD, Bruggner RV, Linderman MD, Sachs K, Nolan GP, Plevritis SK.
Nat Biotechnol.
2011;
29
(10):
886-91
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Lymphomas that recur after MYC suppression continue to exhibit oncogene addiction.
Choi PS,
van Riggelen J, Gentles AJ, Bachireddy P, Rakhra K, Adam SJ, Plevritis SK, Felsher DW.
Proc Natl Acad Sci U S A.
2011;
108
(42):
17432-7
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Prediction of survival in diffuse large B-cell lymphoma based on the expression of 2 genes reflecting tumor and microenvironment.
Alizadeh AA,
Gentles AJ, Alencar AJ, Liu CL, Kohrt HE, Houot R, Goldstein MJ, Zhao S, Natkunam Y, Advani RH, Gascoyne RD, Briones J, Tibshirani RJ, Myklebust JH, Plevritis SK, Lossos IS, Levy R.
Blood.
2011;
118
(5):
1350-8
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Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum.
Bendall SC,
Simonds EF, Qiu P, Amir el-AD, Krutzik PO, Finck R, Bruggner RV, Melamed R, Trejo A, Ornatsky OI, Balderas RS, Plevritis SK, Sachs K, Pe'er D, Tanner SD, Nolan GP.
Science.
2011;
332
(6030):
687-96
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A simulation model investigating the impact of tumor volume doubling time and mammographic tumor detectability on screening outcomes in women aged 40-49 years.
Bailey SL,
Sigal BM, Plevritis SK.
J Natl Cancer Inst.
2010;
102
(16):
1263-71
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Association of a leukemic stem cell gene expression signature with clinical outcomes in acute myeloid leukemia.
Gentles AJ,
Plevritis SK, Majeti R, Alizadeh AA.
JAMA.
2010;
304
(24):
2706-15
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Incidental extracardiac findings at coronary CT: clinical and economic impact.
Lee CI,
Tsai EB, Sigal BM, Plevritis SK, Garber AM, Rubin GD.
AJR Am J Roentgenol.
2010;
194
(6):
1531-8
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MiDReG: a method of mining developmentally regulated genes using Boolean implications.
Sahoo D,
Seita J, Bhattacharya D, Inlay MA, Weissman IL, Plevritis SK, Dill DL.
Proc Natl Acad Sci U S A.
2010;
107
(13):
5732-7
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Reducing the computational complexity of information theoretic approaches for reconstructing gene regulatory networks.
Qiu P,
Gentles AJ, Plevritis SK.
J Comput Biol.
2010;
17
(2):
169-76
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Survival analysis of cancer risk reduction strategies for BRCA1/2 mutation carriers.
Kurian AW,
Sigal BM, Plevritis SK.
J Clin Oncol.
2010;
28
(2):
222-31
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Characterization of patient specific signaling via augmentation of Bayesian networks with disease and patient state nodes.
Sachs K,
Gentles AJ, Youland R, Itani S, Irish J, Nolan GP, Plevritis SK.
Conf Proc IEEE Eng Med Biol Soc.
2009:
2009
6624-7
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Effects of mammography screening under different screening schedules: model estimates of potential benefits and harms.
Mandelblatt JS,
Cronin KA, Bailey S, Berry DA, de Koning HJ, Draisma G, Huang H, Lee SJ, Munsell M, Plevritis SK, Ravdin P, Schechter CB, Sigal B, Stoto MA, Stout NK, van Ravesteyn NT, Venier J, Zelen M, Feuer EJ.
Ann Intern Med.
2009;
151
(10):
738-47
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Fast calculation of pairwise mutual information for gene regulatory network reconstruction.
Qiu P,
Gentles AJ, Plevritis SK.
Comput Methods Programs Biomed.
2009;
94
(2):
177-80
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Ly6d marks the earliest stage of B-cell specification and identifies the branchpoint between B-cell and T-cell development.
Inlay MA,
Bhattacharya D, Sahoo D, Serwold T, Seita J, Karsunky H, Plevritis SK, Dill DL, Weissman IL.
Genes Dev.
2009;
23
(20):
2376-81
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Modeling the transition of lung cancer from early to advanced stage.
Pashkevich MA,
Sigal BM, Plevritis SK.
Cancer Causes Control.
2009;
20
(9):
1559-69
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Simultaneous class discovery and classification of microarray data using spectral analysis.
Qiu P,
Plevritis SK.
J Comput Biol.
2009;
16
(7):
935-44
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Boolean implication networks derived from large scale, whole genome microarray datasets.
Sahoo D,
Dill DL, Gentles AJ, Tibshirani R, Plevritis SK.
Genome Biol.
2008;
9
(10):
R157
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Genomic and proteomic analysis reveals a threshold level of MYC required for tumor maintenance.
Shachaf CM,
Gentles AJ, Elchuri S, Sahoo D, Soen Y, Sharpe O, Perez OD, Chang M, Mitchel D, Robinson WH, Dill D, Nolan GP, Plevritis SK, Felsher DW.
Cancer Res.
2008;
68
(13):
5132-42
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Ductal pattern enhancement on magnetic resonance imaging of the breast due to ductal lavage.
Ghanouni P,
Kurian AW, Margolis D, Hartman AR, Mills MA, Plevritis SK, Ford JM, Daniel BL.
Breast J.
2007 May-Jun;
13
(3):
281-6
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A natural history model of stage progression applied to breast cancer.
Plevritis SK,
Salzman P, Sigal BM, Glynn PW.
Stat Med.
2007;
26
(3):
581-95
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Extracting binary signals from microarray time-course data.
Sahoo D,
Dill DL, Tibshirani R, Plevritis SK.
Nucleic Acids Res.
2007;
35
(11):
3705-12
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A stochastic simulation model of U.S. breast cancer mortality trends from 1975 to 2000.
Plevritis SK,
Sigal BM, Salzman P, Rosenberg J, Glynn P.
J Natl Cancer Inst Monogr.
2006;
(36):
86-95
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Cost-effectiveness of screening BRCA1/2 mutation carriers with breast magnetic resonance imaging.
Plevritis SK,
Kurian AW, Sigal BM, Daniel BL, Ikeda DM, Stockdale FE, Garber AM.
JAMA.
2006;
295
(20):
2374-84
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Decision analysis and simulation modeling for evaluating diagnostic tests on the basis of patient outcomes.
Plevritis SK,
AJR Am J Roentgenol.
2005;
185
(3):
581-90
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Effect of screening and adjuvant therapy on mortality from breast cancer.
Berry DA,
Cronin KA, Plevritis SK, Fryback DG, Clarke L, Zelen M, Mandelblatt JS, Yakovlev AY, Habbema JD, Feuer EJ.
N Engl J Med.
2005;
353
(17):
1784-92
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The effect of age, race, tumor size, tumor grade, and disease stage on invasive ductal breast cancer survival in the U.S. SEER database.
Rosenberg J,
Chia YL, Plevritis S.
Breast Cancer Res Treat.
2005;
89
(1):
47-54
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Breast magnetic resonance image screening and ductal lavage in women at high genetic risk for breast carcinoma.
Hartman AR,
Daniel BL, Kurian AW, Mills MA, Nowels KW, Dirbas FM, Kingham KE, Chun NM, Herfkens RJ, Ford JM, Plevritis SK.
Cancer.
2004;
100
(3):
479-89
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Simulation-based parameter estimation for complex models: a breast cancer natural history modelling illustration.
Chia YL,
Salzman P, Plevritis SK, Glynn PW.
Stat Methods Med Res.
2004;
13
(6):
507-24
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Spectral extrapolation of spatially bounded images [MRI application].
Plevritis SK,
Macovski A.
IEEE Trans Med Imaging.
1995;
14
(3):
487-97
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