@article{JSFS_2005__146_1-2_63_0, author = {Dalmasso, Cyril and Bro\"et, Philippe}, title = {Proc\'edures d'estimation du {False} {Discovery} {Rate} bas\'ees sur la distribution des degr\'es de signification}, journal = {Journal de la Soci\'et\'e fran\c{c}aise de statistique}, pages = {63--75}, publisher = {Soci\'et\'e fran\c{c}aise de statistique}, volume = {146}, number = {1-2}, year = {2005}, language = {fr}, url = {http://archive.numdam.org/item/JSFS_2005__146_1-2_63_0/} }
TY - JOUR AU - Dalmasso, Cyril AU - Broët, Philippe TI - Procédures d'estimation du False Discovery Rate basées sur la distribution des degrés de signification JO - Journal de la Société française de statistique PY - 2005 SP - 63 EP - 75 VL - 146 IS - 1-2 PB - Société française de statistique UR - http://archive.numdam.org/item/JSFS_2005__146_1-2_63_0/ LA - fr ID - JSFS_2005__146_1-2_63_0 ER -
%0 Journal Article %A Dalmasso, Cyril %A Broët, Philippe %T Procédures d'estimation du False Discovery Rate basées sur la distribution des degrés de signification %J Journal de la Société française de statistique %D 2005 %P 63-75 %V 146 %N 1-2 %I Société française de statistique %U http://archive.numdam.org/item/JSFS_2005__146_1-2_63_0/ %G fr %F JSFS_2005__146_1-2_63_0
Dalmasso, Cyril; Broët, Philippe. Procédures d'estimation du False Discovery Rate basées sur la distribution des degrés de signification. Journal de la Société française de statistique, Tome 146 (2005) no. 1-2, pp. 63-75. http://archive.numdam.org/item/JSFS_2005__146_1-2_63_0/
[1] Controlling the false discovery rate : a practical and powerful approach to multiple testing. J. R. Stat Soc Ser. B, 57, 289-300. | MR | Zbl
, (1995).[2] The control of the false discovery rate in multiple testing under dependency. Ann. Stat, 29, 1165-1188. | MR | Zbl
, (2001).[3] Locally-weighted Regression : An Approach to Regression Analysis by Local Fitting. J. Am. Statist. Assoc, 83, 596-610. | Zbl
, (1988).[4] A simple procedure for estimating the false discovery rate. Bioinformatics, 21, (5), 660-668.
, , (2005).[5] Large-scale simultaneous hypothesis testing : the choice of a null hypothesis. J. Am. Statist. Assoc., 99, 96-104. | MR | Zbl
(2004).[6] Algorithm 611. Subroutines for Unconstrained Minimization using a Model/Trust-Region Approach. ACM Transactions on Mathematical Software, 9, 503-524. | MR | Zbl
(1983).[7] Resampling-based Multiple Testing for Microarray Data Analysis, TEST, 12, 1, 1-66. | MR | Zbl
, , (2003).[8] Gene-expression profiles in hereditary breast cancer. N. Engl. J. Med., 22, 539-548.
, , , , , , , , , et al. (2001).[9] Multiple comparison procedures. Wiley &; Sons, New-York. | MR | Zbl
, (1987).[10] Improving false discovery rate estimation. Bioinformatics, 20, 1737-1745.
, (2004).[11] Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values. Bioinformatics, 19, 1236-42.
, (2003).[12] Identifying differentially expressed genes using false discovery rate controlling procedures. Bioinformatics, 19, 368-375.
, , (2003).[13] Microarray biochip technology. Bio Techniques Press.
(2000).[14] A direct approach to false discovery rates. J. R. Stat. Soc. Ser. B, 64 479-498. | MR | Zbl
(2001).[15] Statistical significance for genome-wide studies. Proceedings of the National Academy of Sciences, 100, 9440-9445. | MR | Zbl
, (2003).[16] Statistical Analysis of Gene Expression Microarray Data, CRC Press. | Zbl
(2003).