如何在 rstudio 中使用循环缩短 "visRemoveNodes" 的代码
How to shorten code for "visRemoveNodes" using loop in rstudio
我在闪亮的应用程序中构建了多个蛋白质 - 疾病蛋白质网络,并使用 visnetwork 绘制了它们。我找到了每个网络的连接点,我想删除它们。
我的疾病代码如下所示:
output$plot54 <- renderVisNetwork({
alsex <- as.matrix(alsex)
sel1 <- alsex[,1]
sel2 <- alsex[,2]
n10 <- unique(c(sel1,sel2))
n10 <- as.data.frame(n10)
colnames(n10) <- "id"
ed10 <- as.data.frame(alsex)
colnames(ed10) <- c("from", "to", "width")
n10
g <- graph_from_data_frame(ed10)
articulation.points(g)
nodes4 <- data.frame(n10, color = ifelse(n10$id=="CLEC4E"|n10$id=="ACE2"|n10$id=="MYO7A"|n10$id=="HSPB4"
|n10$id=="EXOSC3"|n10$id=="RBM45"|n10$id=="SPAST"|n10$id=="ALMS1"|n10$id=="PIGQ"
|n10$id=="CDC27"|n10$id=="GFM1"|n10$id=="UTRN"|n10$id=="RAB7B"|n10$id=="GSN"|n10$id=="VAPA"|n10$id=="GLE1"
|n10$id=="FA2H"|n10$id=="HSPA4"|n10$id=="SNCA"|n10$id=="RAB5A"|n10$id=="SETX","red","blue"))
visNetwork(nodes4, ed10, main = "Articulation Points") %>%
visNodes (color = list(highlight = "pink"))%>%
visIgraphLayout()%>%
visOptions(highlightNearest = list(enabled = T, hover = T),
nodesIdSelection = T)%>%
visInteraction(keyboard = TRUE)
})
observe({
input$delete54
visNetworkProxy("plot54") %>%
visRemoveNodes(id="CLEC4E")%>%visRemoveEdges(id = "CLEC4E")%>%
visRemoveNodes(id="ACE2")%>%visRemoveEdges(id = "ACE2")%>%
visRemoveNodes(id="MYO7A")%>%visRemoveEdges(id = "MYO7A")%>%
visRemoveNodes(id="HSPB4")%>%visRemoveEdges(id = "HSPB4")%>%
visRemoveNodes(id="EXOSC3")%>%visRemoveEdges(id = "EXOSC3")%>%
visRemoveNodes(id="RBM45")%>%visRemoveEdges(id = "RBM45")%>%
visRemoveNodes(id="SPAST")%>%visRemoveEdges(id = "SPAST")%>%
visRemoveNodes(id="ALMS1")%>%visRemoveEdges(id = "ALMS1")%>%
visRemoveNodes(id="PIGQ")%>%visRemoveEdges(id = "PIGQ")%>%
visRemoveNodes(id="CDC27")%>%visRemoveEdges(id = "CDC27")%>%
visRemoveNodes(id="GFM1")%>%visRemoveEdges(id = "GFM1")%>%
visRemoveNodes(id="UTRN")%>%visRemoveEdges(id = "UTRN")%>%
visRemoveNodes(id="RAB7B")%>%visRemoveEdges(id = "RAB7B")%>%
visRemoveNodes(id="GSN")%>%visRemoveEdges(id = "GSN")%>%
visRemoveNodes(id="VAPA")%>%visRemoveEdges(id = "VAPA")%>%
visRemoveNodes(id="GLE1")%>%visRemoveEdges(id = "GLE1")%>%
visRemoveNodes(id="FA2H")%>%visRemoveEdges(id = "FA2H")%>%
visRemoveNodes(id="HSPA4")%>%visRemoveEdges(id = "HSPA4")%>%
visRemoveNodes(id="SNCA")%>%visRemoveEdges(id = "SNCA")%>%
visRemoveNodes(id="RAB5A")%>%visRemoveEdges(id = "RAB5A")%>%
visRemoveNodes(id="SETX")%>%visRemoveEdges(id = "SETX")
})
使用
g <- graph_from_data_frame(ed10)
articulation.points(g)
我找到了关节点,并使用 ifelse 将它们标记为红色,如您在 nodes4 向量中所见。
我的问题:
- 如何在 ifelse 中使用循环来缩短我的代码,这样我就不必手动一一写关节点了。
- 如何使用循环在 visRemoveNodes 和 visRemoveEdges 中缩短我的代码,所以我不必写他们也一个一个手动。
交叉发布于:
https://community.rstudio.com/t/how-to-shorten-code-for-visremovenodes-using-loop/72506
第二个问题的答案是:
observe({
l <- c("CLEC4E","ACE2", "MYO7A", "HSPB4", "EXOSC3", "RBM45","SPAST","ALMS1",
"PIGQ","CDC27","GFM1","UTRN",
"RAB7B", "GSN", "VAPA", "GLE1","FA2H","HSPA4",
"SNCA","RAB5A","SETX") #we put all genes that we want to delete in a vector
for (i in l){
input$delete54
visNetworkProxy("plot54")%>%
visRemoveNodes(id= i)%>%visRemoveEdges(id = i)
}
})
我在闪亮的应用程序中构建了多个蛋白质 - 疾病蛋白质网络,并使用 visnetwork 绘制了它们。我找到了每个网络的连接点,我想删除它们。
我的疾病代码如下所示:
output$plot54 <- renderVisNetwork({
alsex <- as.matrix(alsex)
sel1 <- alsex[,1]
sel2 <- alsex[,2]
n10 <- unique(c(sel1,sel2))
n10 <- as.data.frame(n10)
colnames(n10) <- "id"
ed10 <- as.data.frame(alsex)
colnames(ed10) <- c("from", "to", "width")
n10
g <- graph_from_data_frame(ed10)
articulation.points(g)
nodes4 <- data.frame(n10, color = ifelse(n10$id=="CLEC4E"|n10$id=="ACE2"|n10$id=="MYO7A"|n10$id=="HSPB4"
|n10$id=="EXOSC3"|n10$id=="RBM45"|n10$id=="SPAST"|n10$id=="ALMS1"|n10$id=="PIGQ"
|n10$id=="CDC27"|n10$id=="GFM1"|n10$id=="UTRN"|n10$id=="RAB7B"|n10$id=="GSN"|n10$id=="VAPA"|n10$id=="GLE1"
|n10$id=="FA2H"|n10$id=="HSPA4"|n10$id=="SNCA"|n10$id=="RAB5A"|n10$id=="SETX","red","blue"))
visNetwork(nodes4, ed10, main = "Articulation Points") %>%
visNodes (color = list(highlight = "pink"))%>%
visIgraphLayout()%>%
visOptions(highlightNearest = list(enabled = T, hover = T),
nodesIdSelection = T)%>%
visInteraction(keyboard = TRUE)
})
observe({
input$delete54
visNetworkProxy("plot54") %>%
visRemoveNodes(id="CLEC4E")%>%visRemoveEdges(id = "CLEC4E")%>%
visRemoveNodes(id="ACE2")%>%visRemoveEdges(id = "ACE2")%>%
visRemoveNodes(id="MYO7A")%>%visRemoveEdges(id = "MYO7A")%>%
visRemoveNodes(id="HSPB4")%>%visRemoveEdges(id = "HSPB4")%>%
visRemoveNodes(id="EXOSC3")%>%visRemoveEdges(id = "EXOSC3")%>%
visRemoveNodes(id="RBM45")%>%visRemoveEdges(id = "RBM45")%>%
visRemoveNodes(id="SPAST")%>%visRemoveEdges(id = "SPAST")%>%
visRemoveNodes(id="ALMS1")%>%visRemoveEdges(id = "ALMS1")%>%
visRemoveNodes(id="PIGQ")%>%visRemoveEdges(id = "PIGQ")%>%
visRemoveNodes(id="CDC27")%>%visRemoveEdges(id = "CDC27")%>%
visRemoveNodes(id="GFM1")%>%visRemoveEdges(id = "GFM1")%>%
visRemoveNodes(id="UTRN")%>%visRemoveEdges(id = "UTRN")%>%
visRemoveNodes(id="RAB7B")%>%visRemoveEdges(id = "RAB7B")%>%
visRemoveNodes(id="GSN")%>%visRemoveEdges(id = "GSN")%>%
visRemoveNodes(id="VAPA")%>%visRemoveEdges(id = "VAPA")%>%
visRemoveNodes(id="GLE1")%>%visRemoveEdges(id = "GLE1")%>%
visRemoveNodes(id="FA2H")%>%visRemoveEdges(id = "FA2H")%>%
visRemoveNodes(id="HSPA4")%>%visRemoveEdges(id = "HSPA4")%>%
visRemoveNodes(id="SNCA")%>%visRemoveEdges(id = "SNCA")%>%
visRemoveNodes(id="RAB5A")%>%visRemoveEdges(id = "RAB5A")%>%
visRemoveNodes(id="SETX")%>%visRemoveEdges(id = "SETX")
})
使用
g <- graph_from_data_frame(ed10)
articulation.points(g)
我找到了关节点,并使用 ifelse 将它们标记为红色,如您在 nodes4 向量中所见。
我的问题:
- 如何在 ifelse 中使用循环来缩短我的代码,这样我就不必手动一一写关节点了。
- 如何使用循环在 visRemoveNodes 和 visRemoveEdges 中缩短我的代码,所以我不必写他们也一个一个手动。
交叉发布于: https://community.rstudio.com/t/how-to-shorten-code-for-visremovenodes-using-loop/72506
第二个问题的答案是:
observe({
l <- c("CLEC4E","ACE2", "MYO7A", "HSPB4", "EXOSC3", "RBM45","SPAST","ALMS1",
"PIGQ","CDC27","GFM1","UTRN",
"RAB7B", "GSN", "VAPA", "GLE1","FA2H","HSPA4",
"SNCA","RAB5A","SETX") #we put all genes that we want to delete in a vector
for (i in l){
input$delete54
visNetworkProxy("plot54")%>%
visRemoveNodes(id= i)%>%visRemoveEdges(id = i)
}
})