พล็อตแผนที่ความร้อนของค่าไบนารี่และค่าต่อเนื่อง

ฉันมีเมทริกซ์การวิเคราะห์วิถีนี้ ยีนในแต่ละเส้นทางจะได้ 1 ถ้าไม่ใช่ 0 ฉันยังมีการเปลี่ยนแปลงแบบพับสำหรับยีนด้วย ฉันพยายามพล็อตสิ่งนี้ แต่การเปลี่ยนแปลงแบบพับนั้นสับสนกับการไม่มีและข้ออ้างของยีนเช่น:

ฉันเหนื่อย

heatmap(m)

dput(m)
structure(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 
1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 
0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 
1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 
1, 1, 1, 1, -0.903826171835163, -0.247705285294349, -0.401239527828149, 
-1.20189443333319, -0.758305343685411, -1.10106389326754, -0.585488441571586, 
-0.610209849183418, -1.28841166063443, -1.2443689942311, -0.44380661806954, 
-0.393767679922636, -0.9865911233588, -1.16638985537113, -0.846196153682942, 
-1.08069734237831, -0.585488441571586, -0.501442757103725, -1.09515274600357, 
-1.28841166063443, -0.758305343685411, -0.358909656766957, -0.435604213681894, 
-0.233037798755743, -0.401239527828149, -1.28841166063443, -0.563163557390339, 
-1.08069734237831, -0.247705285294349, -0.903826171835163, -0.9865911233588, 
0.377359646511066, 0.453386357728066, 1.70862112102298, 0.532342427101257, 
1.61935728655752, 1.15211775940032, 0.265720938549918, 0.420856476956162, 
0.377359646511066, 0.350765937539292, 0.276646264257092), .Dim = c(42L, 
8L), .Dimnames = list(c("CCL2", "CCL4", "CD40", "CLCF1", "CSF3", 
"CXCL5", "CXCL6", "CXCL8", "IL1B", "IL6", "IL6R", "LTB", "OSM", 
"TNFRSF1B", "TNFSF10", "FOS", "FOSL1", "MMP3", "PTGS2", "TNFAIP3", 
"BCL2A1", "BIRC3", "CFLAR", "DDX58", "GADD45B", "TIRAP", "EDN1", 
"SOCS3", "IGF2", "JAK1", "NR4A1", "CACNA1D", "CALML5", "CALML6", 
"CCNA2", "CCND2", "CDK6", "MAPK1", "RBL1", "CDC6", "CDKN2C", 
"SMC3"), c("Cytokine-cytokine receptor interaction", "IL-17 signaling", 
"NF-kappa B signaling", "TNF signaling", "PI3K-Akt signaling", 
"Cellular senescence", "Cell cycle", "Log2FC")))

> head(m)
      Cytokine-cytokine receptor interaction IL-17 signaling
CCL2                                       1               1
CCL4                                       1               0
CD40                                       1               0
CLCF1                                      1               0
CSF3                                       1               1
CXCL5                                      1               1
      NF-kappa B signaling TNF signaling PI3K-Akt signaling
CCL2                     0             1                  0
CCL4                     1             0                  0
CD40                     1             0                  0
CLCF1                    0             0                  0
CSF3                     0             0                  1
CXCL5                    0             1                  0
      Cellular senescence Cell cycle     Log2FC
CCL2                    0          0 -0.9038262
CCL4                    0          0 -0.2477053
CD40                    0          0 -0.4012395
CLCF1                   0          0 -1.2018944
CSF3                    0          0 -0.7583053
CXCL5                   0          0 -1.1010639
> 

คุณช่วยแก้ปัญหานี้ได้ไหม?