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Claude Skills by HolobiomicsLab
github.com/HolobiomicsLab7,765 skills0 installs8,278 views
- Tree Based Model ValidationUse when after training a decision tree classifier on ChemEcho sparseVotes: 0GitHub stars: 15
- Tree Structural Integrity AssessmentUse when after generating a Chemical Feature Tree artifact (Phylogeny[Rooted])Votes: 0GitHub stars: 15
- Tree Structure Optimization For Metabolite DeconvolutionUse when you have a connected subnetwork of LC-MS features that matchedVotes: 0GitHub stars: 15
- Tree To Query TranslationUse when you have a shallow decision tree trained on ChemEcho featureVotes: 0GitHub stars: 15
- Treemap Visualization ConstructionUse when after applying one or more mpactr filters (filter_mispicked_ions,Votes: 0GitHub stars: 15
- Trend Classification From Fold ChangeUse when when you have harmonized metabolomics data with fold-changeVotes: 0GitHub stars: 15
- True Positive False Positive Rate CalculationUse when you have a trained NeatMS neural network model (.h5 format)Votes: 0GitHub stars: 15
- Truncated Normal Distribution SamplingUse when imputing left-censored missing values in metabolomics data whereVotes: 0GitHub stars: 15
- Trust Score Propagation Directed GraphsUse when you have (1) a directed edge list representing a global networkVotes: 0GitHub stars: 15
- Tsne Embedding Dimensionality ReductionUse when when you have a precomputed similarity matrix of mass spectraVotes: 0GitHub stars: 15
- Tsv Csv File Parsing And AggregationUse when you have TSV or CSV files containing structure-organism pairsVotes: 0GitHub stars: 15
- Tsv File GenerationUse when after completing a BiG-SLiCE v2 clustering analysis on an inputVotes: 0GitHub stars: 15
- Twim Instrument Offset CorrectionUse when you have raw TWIM-MS data with arrival times (detector timestamps)Votes: 0GitHub stars: 15
- Twim Ms Calibration MappingUse when you have raw or processed arrival-time data from a TWIM-MS instrumentVotes: 0GitHub stars: 15
- Twim Ms Data PreprocessingUse when you have raw or processed TWIM-MS experimental data (arrivalVotes: 0GitHub stars: 15
- Twim Ms Data Processing'Use when you have TWIM-MS data (arrival time and m/z values) from aVotes: 0GitHub stars: 15
- Two Dimensional Chromatography Data HandlingUse when you have raw GCxGC-MS chromatogram data in NetCDF format fromVotes: 0GitHub stars: 15
- Two Dimensional Correlation Optimized Warping Parameter TuningUse when when you have a preprocessed sample chromatogram (smoothed andVotes: 0GitHub stars: 15
- Two Dimensional Ms Image ProcessingUse when you have raw GC–MS or LC–MS data represented as a two-dimensionalVotes: 0GitHub stars: 15
- Two Dimensional Spectral Map AnalysisUse when you have GC–MS or LC–MS data represented as a two-dimensionalVotes: 0GitHub stars: 15
- Two Dimensional Tic FoldingUse when immediately after acquiring raw GCxGC-MS data in NetCDF formatVotes: 0GitHub stars: 15
- Two Layer Architecture Dispatch TestingUse when when you need to verify that a wrapper package (e.g., rawrr)Votes: 0GitHub stars: 15
- Two Layer Topology TraversalUse when you have an untargeted metabolomics dataset with partial metaboliteVotes: 0GitHub stars: 15
- Type Coercion To StringUse when when converting intermediate JSON records to output dictionariesVotes: 0GitHub stars: 15
- Type I Error ComputationUse when when you need to verify that reported Type I error rates fromVotes: 0GitHub stars: 15
- Type Safety And Length Matching ValidationUse when implementing data replacement methods (such as `[<-`, `$<-`,Votes: 0GitHub stars: 15
- U13c Labeled Lipid IdentificationUse when you have measured CCS values from (LC-)IM-MS samples spikedVotes: 0GitHub stars: 15
- U13c Labeled Standard Reference MatchingUse when you have IM-MS measurements of samples spiked with U13C-labeledVotes: 0GitHub stars: 15
- Ubuntu Package Inventory AnalysisUse when when you have a Ubuntu-based software package (e.g., MetumpX)Votes: 0GitHub stars: 15
- Uhplc Hrms Ms Data MatchingUse when you have peak-picked UHPLC-HRMS/MS data (from Q-Exactive orbitrap,Votes: 0GitHub stars: 15
- Uml Diagram GenerationUse when when you have access to a modular object-oriented codebase andVotes: 0GitHub stars: 15
- Unannotated Feature CharacterizationUse when you have aligned feature tables from LC–MS/MS, correspondingVotes: 0GitHub stars: 15
- Uncertainty Estimation Across ModelsUse when when you have multiple independently trained models (e.g., ROASMI_1Votes: 0GitHub stars: 15
- Uncertainty Quantification From Model PredictionsUse when when you have a trained neural network (e.g., a Siamese modelVotes: 0GitHub stars: 15
- Uncertainty Quantification Rt Prediction'Use when you have trained a DNN retention time predictor and need toVotes: 0GitHub stars: 15
- Unified Api Design For Heterogeneous Data SourcesUse when your analysis pipeline must ingest mass-spectrometry data fromVotes: 0GitHub stars: 15
- Unified Mobility Scale Construction Across PolaritiesUse when you have CE-MS raw data in OnDiskMSnExp format with both positiveVotes: 0GitHub stars: 15
- Unified Vocabulary ConstructionUse when when you have parallel mass spectra and molecular structureVotes: 0GitHub stars: 15
- Unique Compound EnumerationUse when you have a GC-MS results table with a Match.Factor column (representingVotes: 0GitHub stars: 15
- Unit Test Coverage For Conditional WorkflowsUse when when refactoring or adding workflow branching logic that routesVotes: 0GitHub stars: 15
- Unit Test Design For Analytical ChemistryUse when when implementing or modifying metabolomics feature detectionVotes: 0GitHub stars: 15
- Unit Test Design For Biochemical FiltersUse when after implementing a custom Filter subclass (e.g., MetabolomicsFilter,Votes: 0GitHub stars: 15
- Unit Test Design For Cheminformatics AlgorithmsUse when you have implemented a custom Filter subclass (e.g., TanimotoVotes: 0GitHub stars: 15
- Unit Test Design For CheminformaticsUse when when implementing a new ComputeConverter subclass for MSMetaEnhancerVotes: 0GitHub stars: 15
- Unit Test Design For Data ProcessingUse when building or extending a data extraction and conversion systemVotes: 0GitHub stars: 15
- Unit Test Design For Data Structure ClassesUse when when implementing a new data structure class that extends standardVotes: 0GitHub stars: 15
- Unit Test Design For File ParsingUse when when implementing or extending file format parsers in a spectralVotes: 0GitHub stars: 15
- Unit Test Design For Model ParametersUse when you have extended a neural network model class (e.Votes: 0GitHub stars: 15
- Unit Test Design For Scoring MetricsUse when when implementing new scoring components (inchikey score, neighbourhoodVotes: 0GitHub stars: 15
- Unit Test Design PytestUse when after implementing a custom Filter subclass (e.g., TanimotoVotes: 0GitHub stars: 15