Univariate Screening run #160 · feature_selection

Table view Dataset report
regression
task type
400
n samples
40
n features
PC_SHOOTMASS
target column
completed
status
2026-09-21 02:12
created
Figures
Screening volcano Download PNG
Screening volcano
P-value QQ plot Download PNG
P-value QQ plot
Export: CSV Excel PDF

Method & Provenance

Method
Univariate feature screening
Method key
univariate_screening (result type: feature_selection, result #160)
Engine
Python · scikit-learn/scipy v1.8.0
Dataset(s)
#690 gallery — cat_g_field_data_plots.csv
Status
completed
Permanent link
https://cat-g-omxpert.wishartlab.com/results/by-token/ddc9cb78b42f4d9c87d80959e89650af Bookmark or share this URL — it does not depend on your session.
Created
2026-09-21 02:12:36.563461

Parameters used

ParameterValue
method univariate_screening
target_col PC_SHOOTMASS
fdr_threshold 0.05
derived_dataset_id 692

Execution trace

Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made. 

from scipy import stats
r, p = stats.pearsonr(x_feature, y_target)
stat, p = stats.kruskal(*groups)  # per feature
fdr = statsmodels.stats.multitest.multipletests(p_values, method='fdr_bh')