Error when using de.test.wald():

[SteffiHMuc]

I am using diffxpy to calculate differential gene expression analysis, but every time the iteration for the calculation starts and is ended quickly with the same error. What could be the reason?

The code:

import diffxpy.api as de

Perform differential expression analysis

test_01 = de.test.wald(
data=adata_olig_2,
formula_loc="~ 1 + group",
factor_loc_totest="group",
gene_names=adata_olig.var_names,
sample_description=adata_olig.obs,
)

The error:
training ___location model: False
training scale model: True
iter 0: ll=56543949.613667
iter 1: ll=56543949.613667, converged: 0.00% (loc: 100.00%, scale update: False), in 0.00sec
Fitting 4000 dispersion models: (progress not available with multiprocessing)

BracketError: The algorithm terminated without finding a valid bracket. Consider trying different initial points.

Version information:
anndata 0.9.2
diffxpy v0.7.4
gseapy 1.0.6
numpy 1.24.4
pandas 1.5.3
scanpy 1.9.4
scipy 1.11.2

[mason-sweat1]

I had the same error. Was there any solution for this?

[errepeAxel]

Hi, I had the same error. Did you find any solution? Thanks in advance :)

[lf96abc]

Hi, has any solution been found?