Result Detail – Clustering
Result Information
- Result ID
- 35
- Type
- Clustering
- Status
- completed
- Dataset ID
- 722
- Created
- 2026-09-21 02:18:13.933986
Clustering Result – Kmeans
- Method
- Kmeans
- Clusters (k)
- 3
- Silhouette score
- 0.3488 (higher = better separated)
- Rows clustered
- 150
- Feature columns
- Psat1g153760.1;Psat2g159360.1, Psat4g000800.1, Psat7g234480.1, Psat6g170320.2, P13918;Psat0s5g0160.1;Psat5g199920.1, Psat0s3063g0160.1, Psat0s1401g0040.1, Psat1g046920.1;Psat3g040960.1;Psat6g072360.3, Psat4g103520.1, A0A0K0KZR1, Psat0s1587g0080.1, D3VNE1;D3VNE2, Psat3g204960.1, Psat4g152760.1, Psat3g066960.1;Psat4g123280.1, Psat1g060840.1, Psat3g040960.1;Q04593, Psat4g095120.1, P82333, Psat0s2970g0080.1, Psat2g102880.1, Psat5g016560.1, Psat0s2008g0040.2;Psat1g060840.1, Psat1g141040.1;Psat1g141080.3, Psat2g028040.1, Psat2g036360.1;Psat2g036520.1, Psat5g111120.1, Psat1g136200.1, Psat1g046920.1;Psat3g040960.1, P19251, Q9SSY8, Psat1g107440.1;Psat2g149200.1;Psat4g184760.1;Psat4g185080.1, Psat6g235800.1;Psat6g235800.2, Psat2g036360.1;Psat2g036480.1;Psat2g036520.1, Q7M228, Q8LP17, Psat1g046920.1;Psat3g040960.1;Q04593, Psat1g107440.1;Psat4g184440.1, Psat1g046920.1;Psat3g040960.1;Psat6g182520.1;Q04593, Psat6g178400.1, A0A432N9M1, Psat6g054880.1, Psat4g213880.1, Psat2g036480.1, Psat7g102240.1, Psat0s1664g0080.1, Psat1g130000.1, A0A432NQN8, Psat3g094480.1, Psat1g046920.1;Psat3g040960.1;Psat6g072360.3;Psat6g182520.1, Psat3g197600.1, Q8VX19, Psat4g184440.1;Psat4g184760.1, Psat2g169200.1, Psat1g194520.1;Psat7g068160.1, Psat3g010120.1, Psat4g194120.1, Psat2g183320.1;Psat3g179120.1, Psat2g028440.1, P51082
Cluster sizes
Cluster 0: n=120
Cluster 1: n=15
Cluster 2: n=15
Per-cluster feature means
| Cluster | Psat1g153760.1;Psat2g159360.1 | Psat4g000800.1 | Psat7g234480.1 | Psat6g170320.2 | P13918;Psat0s5g0160.1;Psat5g199920.1 | Psat0s3063g0160.1 | Psat0s1401g0040.1 | Psat1g046920.1;Psat3g040960.1;Psat6g072360.3 | Psat4g103520.1 | A0A0K0KZR1 | Psat0s1587g0080.1 | D3VNE1;D3VNE2 | Psat3g204960.1 | Psat4g152760.1 | Psat3g066960.1;Psat4g123280.1 | Psat1g060840.1 | Psat3g040960.1;Q04593 | Psat4g095120.1 | P82333 | Psat0s2970g0080.1 | Psat2g102880.1 | Psat5g016560.1 | Psat0s2008g0040.2;Psat1g060840.1 | Psat1g141040.1;Psat1g141080.3 | Psat2g028040.1 | Psat2g036360.1;Psat2g036520.1 | Psat5g111120.1 | Psat1g136200.1 | Psat1g046920.1;Psat3g040960.1 | P19251 | Q9SSY8 | Psat1g107440.1;Psat2g149200.1;Psat4g184760.1;Psat4g185080.1 | Psat6g235800.1;Psat6g235800.2 | Psat2g036360.1;Psat2g036480.1;Psat2g036520.1 | Q7M228 | Q8LP17 | Psat1g046920.1;Psat3g040960.1;Q04593 | Psat1g107440.1;Psat4g184440.1 | Psat1g046920.1;Psat3g040960.1;Psat6g182520.1;Q04593 | Psat6g178400.1 | A0A432N9M1 | Psat6g054880.1 | Psat4g213880.1 | Psat2g036480.1 | Psat7g102240.1 | Psat0s1664g0080.1 | Psat1g130000.1 | A0A432NQN8 | Psat3g094480.1 | Psat1g046920.1;Psat3g040960.1;Psat6g072360.3;Psat6g182520.1 | Psat3g197600.1 | Q8VX19 | Psat4g184440.1;Psat4g184760.1 | Psat2g169200.1 | Psat1g194520.1;Psat7g068160.1 | Psat3g010120.1 | Psat4g194120.1 | Psat2g183320.1;Psat3g179120.1 | Psat2g028440.1 | P51082 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.4405 | 444.6 | 30.31 | 4.385 | 2.286e+04 | 0.5784 | 1.926 | 0 | 6.093 | 7.909 | 65.43 | 592.6 | 12.34 | 5.33 | 8.402 | 7.385 | 0.009299 | 25.33 | 0.09018 | 2.379 | 0 | 2.637 | 5.565 | 1.671 | 0.09784 | 30.12 | 0 | 0.947 | 0.3039 | 0.4198 | 0.2467 | 43.66 | 0.647 | 108.5 | 34.81 | 3.367 | 0.3916 | 98.88 | 0.06642 | 0.6061 | 4.612 | 1006 | 0.41 | 15.59 | 17.6 | 2.318 | 0.213 | 0.5189 | 29.04 | 0.804 | 0.0962 | 334.7 | 48.76 | 0 | 424.9 | 9553 | 2.594 | 21.03 | 15.89 | 10.21 |
| 1 | 29.4 | 39.9 | 0.4222 | 0 | 3254 | 17.9 | 65.02 | 2.6 | 0.1413 | 0 | 25.2 | 373.5 | 0 | 141.3 | 0 | 28.83 | 13.87 | 98.44 | 0.1528 | 185.8 | 0 | 0 | 8.807 | 2.939 | 0 | 0 | 0 | 31.03 | 57.89 | 3.948 | 0 | 426.3 | 0 | 0 | 0 | 0 | 61.79 | 832.9 | 6.209 | 62.57 | 7.743 | 21.91 | 0.3176 | 0 | 414.4 | 11.76 | 0.7729 | 0 | 614.3 | 54.75 | 0.8728 | 0 | 401.4 | 5.009 | 257.7 | 398.8 | 31.03 | 0 | 19.87 | 256.5 |
| 2 | 0 | 35.43 | 0.1194 | 0 | 344.7 | 0 | 72.42 | 0 | 0 | 1.531 | 3.974 | 1.086 | 78.4 | 16.02 | 36.47 | 116.4 | 0 | 0 | 0.1182 | 20.62 | 5.312 | 5.693 | 58.43 | 0 | 0.8883 | 2.376 | 4.242 | 24.28 | 0 | 6.311 | 4.829 | 174 | 0 | 0 | 0 | 9.956 | 0 | 308.8 | 0 | 8.923 | 11.97 | 11.93 | 0.3225 | 1.135 | 1.38 | 0 | 6.14 | 10.87 | 1538 | 0.6594 | 10.63 | 0 | 167.8 | 10.71 | 98.68 | 105.8 | 0 | 0.9232 | 17.6 | 0 |
Figures
Derived Dataset — Ready for Downstream Analysis
The output of this run was saved as a new dataset, gallery — cat_g_proteomics_omics_only.csv (clustered), which you can select in any downstream analysis (machine learning, statistical tests, further preprocessing, or feature selection).
Preview Dataset Open in Editor Run Another Analysis →Pathway Analysis (same dataset)
Method & Provenance
- Method
- Clustering — K-Means
- Method key
kmeans(result type:clustering, result #35)- Engine
- Python · scikit-learn v1.8.0
- Dataset(s)
- #722 gallery — cat_g_proteomics_omics_only.csv
- Status
- completed
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/353bac72a0db47cbbc54087c03123afd Bookmark or share this URL — it does not depend on your session.
- Created
- 2026-09-21 02:18:13.933986
Parameters used
| Parameter | Value |
|---|---|
cluster_method | kmeans |
feature_cols | Psat1g153760.1;Psat2g159360.1, Psat4g000800.1, Psat7g234480.1, Psat6g170320.2, P13918;Psat0s5g0160.1;Psat5g199920.1, Psat0s3063g0160.1, Psat0s1401g0040.1, Psat1g046920.1;Psat3g040960.1;Psat6g072360.3, Psat4g103520.1, A0A0K0KZR1, Psat0s1587g0080.1, D3VNE1;D3VNE2, Psat3g204960.1, Psat4g152760.1, Psat3g066960.1;Psat4g123280.1, Psat1g060840.1, Psat3g040960.1;Q04593, Psat4g095120.1, P82333, Psat0s2970g0080.1, Psat2g102880.1, Psat5g016560.1, Psat0s2008g0040.2;Psat1g060840.1, Psat1g141040.1;Psat1g141080.3, Psat2g028040.1, Psat2g036360.1;Psat2g036520.1, Psat5g111120.1, Psat1g136200.1, Psat1g046920.1;Psat3g040960.1, P19251, Q9SSY8, Psat1g107440.1;Psat2g149200.1;Psat4g184760.1;Psat4g185080.1, Psat6g235800.1;Psat6g235800.2, Psat2g036360.1;Psat2g036480.1;Psat2g036520.1, Q7M228, Q8LP17, Psat1g046920.1;Psat3g040960.1;Q04593, Psat1g107440.1;Psat4g184440.1, Psat1g046920.1;Psat3g040960.1;Psat6g182520.1;Q04593, Psat6g178400.1, A0A432N9M1, Psat6g054880.1, Psat4g213880.1, Psat2g036480.1, Psat7g102240.1, Psat0s1664g0080.1, Psat1g130000.1, A0A432NQN8, Psat3g094480.1, Psat1g046920.1;Psat3g040960.1;Psat6g072360.3;Psat6g182520.1, Psat3g197600.1, Q8VX19, Psat4g184440.1;Psat4g184760.1, Psat2g169200.1, Psat1g194520.1;Psat7g068160.1, Psat3g010120.1, Psat4g194120.1, Psat2g183320.1;Psat3g179120.1, Psat2g028440.1, P51082 |
n_clusters | 3 |
Execution trace
Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made.
from sklearn.cluster import KMeans
labels = KMeans(n_clusters=3, n_init=10, random_state=42).fit_predict(X)
silhouette = sklearn.metrics.silhouette_score(X, labels)