This dataset provides Microsat specifications and survival times.
A data frame with 117 observations on the following 43 variables.
a factor with levels B1006
B1017 B1028 B1031 B1046 B1059
B1068 B1071 B1102 B1115 B1124
B1139 B1157 B1161 B1164 B1188
B1190 B1192 B1203 B1211 B1221
B1225 B1226 B1227 B1237 B1251
B1258 B1266 B1271 B1282 B1284
B1285 B1286 B1287 B1290 B1292
B1298 B1302 B1304 B1310 B1319
B1327 B1353 B1357 B1363 B1368
B1372 B1373 B1379 B1388 B1392
B1397 B1403 B1418 B1421t1 B1421t2
B1448 B1451 B1455 B1460 B1462
B1466 B1469 B1493 B1500 B1502
B1519 B1523 B1529 B1530 B1544
B1548 B500 B532 B550 B558 B563
B582 B605 B609 B634 B652 B667
B679 B701 B722 B728 B731 B736
B739 B744 B766 B771 B777 B788
B800 B836 B838 B841 B848 B871
B873 B883 B889 B912 B924 B925
B927 B938 B952 B954 B955 B968
B972 B976 B982 B984
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a
factor with levels 0 1 2 3 4
a numeric vector
a numeric vector
Allelotyping identification of genomic alterations in rectal chromosomally unstable tumors without preoperative treatment, #' Benoît Romain, Agnès Neuville, Nicolas Meyer, Cécile Brigand, Serge Rohr, Anne Schneider, Marie-Pierre Gaub and Dominique Guenot, BMC Cancer 2010, 10:561, doi:10.1186/1471-2407-10-561.
plsRcox, Cox-Models in a high dimensional setting in R, Frederic
Bertrand, Philippe Bastien, Nicolas Meyer and Myriam Maumy-Bertrand (2014).
Proceedings of User2014!, Los Angeles, page 152.
Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Philippe Bastien, Frederic Bertrand, Nicolas Meyer and Myriam Maumy-Bertrand (2015), Bioinformatics, 31(3):397-404, doi:10.1093/bioinformatics/btu660.