Closed CGUTA closed 5 years ago
We're glad you like Clustergrammer. For a dataset of that size I would recommend trying the new in-development Clustergrammer-GL front-end library and/or the Clustergrammer2 Jupyter widget - these are built using WebGL which allows visualization of larger datasets. However, I would also recommend reducing the dimensionality (try reducing to ~1,000) and randomly subsampling or downsampling your samples (try reducing to 1,000 - 5,000). This will probably ifx the maximum recursion depth exceeded problem and you will be able to visualize the reduced size dataset.
You can try out Clustergrammer2 on MyBinder on the CCLE dataset (18,000 genes and 1,000 cell-lines) to get an idea of how to visualize a similar dataset:
Also, see clustergrammer2-examples for more examples.
Thank you for your response,
I tried generating a JSON from a 10X10 mtx using clustergrammer-py and then plug it into the index.html of the clustergrammer-gl repo. But nothing renders (is the JSON from clustergrammer the same format for the clustergrammer-gl?). I checked the console and I get
clustergrammer-gl.js:39333 Uncaught TypeError: tmp_cat.indexOf is not a function
at clustergrammer-gl.js:39333
at Function.Clustergrammer2../node_modules/underscore/underscore.js._.each._.forEach (clustergrammer-gl.js:35794)
at generate_cat_array (clustergrammer-gl.js:39323)
at generate_cat_params (clustergrammer-gl.js:44770)
at initialize_params (clustergrammer-gl.js:45146)
at run_viz (clustergrammer-gl.js:42112)
at clustergrammer_gl (clustergrammer-gl.js:43142)
at (index):72
at d3.js:2010
at Object.<anonymous> (d3.js:1995)
the mtx that i used to generate the JSON is
S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12
3 3 3 3 3 3 4 3 3 3 3 3
Z 3 0 20 20 20 40 60 60 60 100 120 120 120
A 1 20 0 20 20 60 80 80 80 120 140 140 140
B 1 20 20 0 20 60 80 80 80 120 140 140 140
C 1 20 20 20 0 60 80 80 80 120 140 140 140
D 2 40 60 60 60 0 20 20 20 60 80 80 80
E 2 60 80 80 80 20 0 20 20 40 60 60 60
F 2 60 80 80 80 20 20 0 20 60 80 80 80
G 2 60 80 80 80 20 20 20 0 60 80 80 80
H 1 100 120 120 120 60 40 60 60 0 20 20 20
I 1 120 140 140 140 80 60 80 80 20 0 20 20
J 1 120 140 140 140 80 60 80 80 20 20 0 20
K 1 120 140 140 140 80 60 80 80 20 20 20 0
It worked!, I now generated the JSON directly for the clustergrammer GL. What I learned from the current build so far.
The error before was probably that the JSON from clustergrammer-py only works when it generates categories together with the dendrogram that are compatible with your current example mult_view.json in data.
Great, the cat_index is the order of the row/col when ordering by category (e.g. when double-clicking on the category title). For Clustergrammer-GL this is only currently working for column reordering, but soon I'll update to have row category reordering also.
Hello, I found out about clustergrammer through the jupytercon and I think is very cool.
I tried making the cluster from a dataset (17K genes 10K samples), but during the dendrogram construction an error occurs:
...scipy/cluster/hierarchy.py", line 2534, in _append_singleton_leaf_node RecursionError: maximum recursion depth exceeded while getting the str of an object
Is there a way to deactivate the dendrogram to bypas this ?