Timecourse experiment: wrong experimental design?
0
0
Entering edit mode
Andrea Grilli ▴ 240
@andrea-grilli-4664
Last seen 9.6 years ago
Italy, Bologna, Rizzoli Orthopaedic Ins…
Hi to all! I've to perform a time series analysis with timecourse package, but I've got plotting problems and some doubt on experimental design. I've 2 cell lines (first as parenthal, second as transfectant for a specific gene), each with 2 biological replicates and 4 time points, for a total of 16 samples. Main goal is to find genes with different temporal behaviour between parenthal vs. transfectant. Everything seems to work properly until plotting function, that generate this error: > plotProfile(MB.2D,type="b", gnames= row.names(Data)) Error in rep.pch[1:nrow(con[!is.na(con[, 1]), ]), 1] <- pch[1:nrow(con[!is.na(con[, : subscript out of bounds and plot is empty but title reports probe name, statistics and rank. Here how I set mb.long function: # perform indipendent two-samples analysis > MB.2D <- mb.long(Data, method = "2", times = 4, reps = size, > condition.grp = condition, rep.grp = groups, time.grp = time_exp) And here results of mb.long (that looks right): # size matrix > head(MB.2D$size) [,1] [,2] [1,] 2 2 [2,] 2 2 [3,] 2 2 [4,] 2 2 [5,] 2 2 [6,] 2 2 # condition > MB.2D$con.group [1] "Parenthal" "Parenthal" "Parenthal" "Parenthal" "Parenthal" [6] "Parenthal" "Parenthal" "Parenthal" "Transfectant" "Transfectant" [11] "Transfectant" "Transfectant" "Transfectant" "Transfectant" "Transfectant" [16] "Transfectant" # replicates > MB.2D$rep.group [1] "t0" "t0" "t7" "t7" "t14" "t14" "t21" "t21" "t0" "t0" "t7" "t7" [13] "t14" "t14" "t21" "t21" # time > MB.2D$time.group [1] 1 1 2 2 3 3 4 4 1 1 2 2 3 3 4 4 Input Data is a txt file as matrix of log2 expression data from previous filtering steps with limma, imported with: Data <- read.table("./Input_file.txt", header = TRUE, row.names = 1) Is it a plotting problem, or could be also a wrong experimental design that couses subsequent error? Further question, for each probe I get a Hotelling statistics value: which is the "significant" threshold (I get values from 2330 to 0.006)? sorry but I'm more confidential with p-value.. Any support is really appreciated, thanks in advance, Andrea Dr. Andrea Grilli andrea.grilli at ior.it phone 051/63.66.756 Laboratory of Experimental Oncology Rizzoli Orthopaedic Institute Codivilla Putti Research Center via di Barbiano 1/10 40136 - Bologna - Italy
TimeCourse probe limma timecourse TimeCourse probe limma timecourse • 1.0k views
ADD COMMENT

Login before adding your answer.

Traffic: 420 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6