Splits column with BitVector values to a number of individual columns with one bit in each of them. That is, 256 new columns will be created for a BitVector with 256 bits.
Options
Popular Successors
Number To String3 %- Column Filter3 %
- Random Forest Predictor (Regression)3 %
- k-Means3 %
- Simple Regression Tree Predictor2 %
- Low Variance Filter2 %
- Distance Matrix Calculate2 %
- Fingerprints Expander2 %
- Fingerprint Similarity2 %
- PCA Apply2 %
- PCA Compute2 %
- Tree Ensemble Predictor2 %
- Random Forest Learner (Regression)2 %
- Domain Calculator2 %
- SDF Writer2 %
- Sphere Exclusion1 %
- Automated Matched Pairs1 %
- X-Partitioner1 %
Naive Bayes Predictor1 %- Hierarchical Cluster View1 %
PCA1 %- PCA1 %
- Simple Regression Tree Learner1 %
- Column Rename (Regex)1 %
Joiner1 %- Partitioning1 %
- Rule Engine1 %
- Rank Correlation1 %
- Similarity Search1 %
- t-SNE (L. Jonsson)1 %
XGBoost Tree Ensemble Learner1 %- Cluster Assigner1 %
Column Rename1 %- Color Manager1 %
Excel Writer (XLS)1 %CSV Writer< 1 %- PNN Learner (DDA)< 1 %
- OPTICS Cluster Compute< 1 %
- Reference Column Filter< 1 %
Row Filter (deprecated)< 1 %- Pivot< 1 %
- Shuffle< 1 %
- Column Splitter< 1 %
- Statistics< 1 %
- Save Workflow< 1 %
- Fingerprint Similarity< 1 %
- RDKit Interactive Table< 1 %
- Domain - Similarity< 1 %
Fingerprint Properties< 1 %Table Writer< 1 %Naive Bayes Learner< 1 %- Fuzzy c-Means< 1 %
- Hierarchical Clustering< 1 %
PCA Apply< 1 %- Linear Regression Learner< 1 %
- SOTA Predictor< 1 %
Tree Ensemble Learner< 1 %- Random Forest Learner< 1 %
Random Forest Predictor< 1 %Column Appender< 1 %- Normalizer< 1 %
- RowID< 1 %
- Sorter< 1 %
- Fingerprint Bayesian Learner< 1 %
- Matrix Distance< 1 %
- k-Medoids< 1 %
K Nearest Neighbor (Distance Function)< 1 %- DL4J Feedforward Predictor (Regression) (legacy)< 1 %
- H2O MOJO Predictor (Regression)< 1 %
- Excel Writer< 1 %
- Weka Cluster Assigner (3.7)< 1 %
- Python Script (legacy)< 1 %
- Fingerprints< 1 %
- Fingerprint Similarity< 1 %
- Fingerprint to String< 1 %
- Fingerprint SUM< 1 %
- Virtual Screening Metrics< 1 %
- Create Collection Column< 1 %
Backward Feature Elimination Start (1:1)< 1 %- Hierarchical Clustering (DistMatrix)< 1 %
- Decision Tree Predictor< 1 %
- MultiLayerPerceptron Predictor< 1 %
- Logistic Regression Learner< 1 %
- Regression Predictor< 1 %
- SMOTE< 1 %
- SVM Predictor< 1 %
Random Forest Learner (Regression)< 1 %- Gradient Boosted Trees Predictor (Regression)< 1 %
- Tree Ensemble Predictor (Regression)< 1 %
- Random Forest Predictor< 1 %
- Create Bit Vector< 1 %
- Expand Bit Vector< 1 %
- String to Number< 1 %
- Column Appender< 1 %
- Column Resorter< 1 %
- One to Many< 1 %
- Linear Correlation< 1 %
- Correlation Filter< 1 %
Column Filter< 1 %- Missing Value Column Filter< 1 %
Row Splitter (deprecated)< 1 %- GroupBy< 1 %
- Joiner< 1 %
- Normalizer (Apply)< 1 %
- String Manipulation< 1 %
- String Replacer< 1 %
- Table Transposer< 1 %
Similarity Search< 1 %- Numeric Outliers< 1 %
- One-way ANOVA< 1 %
CASE Switch Data (End)< 1 %- End IF< 1 %
- Histogram (legacy)< 1 %
- DL4J Feedforward Learner (Classification) (legacy)< 1 %
- DL4J Feedforward Learner (Regression) (legacy)< 1 %
- DL4J Feedforward Predictor (Classification) (legacy)< 1 %
H2O MOJO Predictor (Classification)< 1 %- Table to H2O< 1 %
- Math Formula< 1 %
- Bubble Chart (JFreeChart)< 1 %
- LIBSVMLearner< 1 %
- Weka Predictor (3.7)< 1 %
- Column Filter (legacy)< 1 %
- XGBoost Predictor< 1 %
- XGBoost Predictor (Regression)< 1 %
- CDK to Molecule< 1 %
- RDKit Descriptor Calculation< 1 %
RDKit Fingerprint Writer< 1 %- RDKit Find Murcko Scaffolds< 1 %
- RDKit To InChI< 1 %
- RDKit Salt Stripper< 1 %
Views
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Workflows
(3D) Fragment library design workflowKNIME Hub- 4D-QSAR ML Both Binding and 2D FeaturesKNIME Hub
- 4D-QSAR ML Both Binding and 2D FeaturesKNIME Hub
- Cancer_cell-line_activity_predictionKNIME Hub
- Cheminformatics Meta-AnalysisKNIME Hub
- Show all 9 workflows
Links
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Developers
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