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Claude Skills by HolobiomicsLab
github.com/HolobiomicsLab4,372 skills13 installs12,718 views
- Autoencoder Encoder Decoder DesignUse when when working with imaging mass spectrometry (IMS) datasets whereVotes: 0GitHub stars: 16
- Automated Feature Extraction From SpectraUse when when you have raw or processed direct-infusion MS (DI-MS) orVotes: 0GitHub stars: 16
- Automated Lipid IdentificationUse when you have high-resolution tandem mass spectrometry (MS2) dataVotes: 0GitHub stars: 16
- Automated Metabolite Property ComputationUse when you have ion mobility-mass spectrometry data (raw drift times,Votes: 0GitHub stars: 16
- Automated Peak Detection Without Conventional PickingUse when you have a two-dimensional GC–MS or LC–MS dataset (m/z vs retentionVotes: 0GitHub stars: 16
- Automated Reaction Network ExplorationUse when when you have a molecular geometry (XYZ format) and need toVotes: 0GitHub stars: 16
- Autotuner Object ManipulationUse when after AutoTuner has completed EICparams extraction and parameterVotes: 0GitHub stars: 16
- Axis Label Format CustomizationUse when when designing injection plate layouts in InjectionDesign andVotes: 0GitHub stars: 16
- Backend Compatibility Verification Visualization LibraryUse when you have mass spectrometry data loaded into a pandas DataFrameVotes: 0GitHub stars: 16
- Backend Merging And ConcatenationUse when when you have two or more MsBackend objects (e.g., multipleVotes: 0GitHub stars: 16
- Backend Performance BenchmarkingUse when when you have execution time data for visualization scriptsVotes: 0GitHub stars: 16
- Backend Performance ComparisonUse when you have execution-time metrics (from a benchmark table or profilingVotes: 0GitHub stars: 16
- Backend Routing And DispatchUse when you need to support multiple plotting backends for the sameVotes: 0GitHub stars: 16
- Background Distribution Threshold DerivationUse when when you have trained predictive models (e.g., neural networks)Votes: 0GitHub stars: 16
- Background Ion Blank ComparisonUse when after generating an initial LC-MS feature table (from AsariVotes: 0GitHub stars: 16
- Background Ion Contaminant RemovalUse when you have a feature table from LC-MS data alongside blank (solvent-only)Votes: 0GitHub stars: 16
- Background Ion Drift Detection And RemovalUse when processing MS-DIAL peak lists from untargeted LC-MS/MS experimentsVotes: 0GitHub stars: 16
- Bag Of Fragments Representation ConstructionUse when after noise filtering and polarity selection of MS/MS spectraVotes: 0GitHub stars: 16
- Bag Of Words Document Representation GenerationUse when you have raw MS/MS spectral data in standard mass spectrometryVotes: 0GitHub stars: 16
- Bandwidth Parameter Effect ComparisonUse when you suspect XCMS grouping contains misaligned features due toVotes: 0GitHub stars: 16
- Baseline And Noise Level Estimation From Quartile StatisticsUse when before peak detection on a composite or individual mass trackVotes: 0GitHub stars: 16
- Baseline Comparative AnalysisUse when your research proposes a new spectral embedding, matching algorithm,Votes: 0GitHub stars: 16
- Baseline Comparison AnalysisUse when when you have trained a candidate model (e.g., an ensemble,Votes: 0GitHub stars: 16
- Baseline Comparison Performance Benchmarking'Use when when you have implemented a novel annotation algorithm or networkVotes: 0GitHub stars: 16
- Baseline Correction Algorithm SelectionUse when when you have imported a raw GCxGC-MS chromatogram as a 2D-TICVotes: 0GitHub stars: 16
- Baseline Method Comparison And BenchmarkingUse when you have developed or adapted an analytical method (e.g., NPFimgVotes: 0GitHub stars: 16
- Baseline Model Implementation For ComparisonUse when you are introducing a novel spectrum prediction model and needVotes: 0GitHub stars: 16
- Baseline Model Training And Evaluation'Use when when you need to establish comparable performance baselinesVotes: 0GitHub stars: 16
- Baseline Noise Estimation ChromatogramUse when after auditing and optionally rescaling a mass track (compositeVotes: 0GitHub stars: 16
- Basepeak Intensity IdentificationUse when when you have Thermo Fisher Scientific .raw files from an OrbitrapVotes: 0GitHub stars: 16
- Batch Aware Normalization WorkflowsUse when your LC-MS feature table exhibits intensity variations acrossVotes: 0GitHub stars: 16
- Batch Construction Parameter OptimizationUse when preparing labeled LC-MS peak data for neural network trainingVotes: 0GitHub stars: 16
- Batch Corrected Feature Table ValidationUse when after applying batch correction (e.g., ComBat, SVA) to a mergedVotes: 0GitHub stars: 16
- Batch Correction Quality AssessmentUse when after applying pycombat-based batch correction to multi-batchVotes: 0GitHub stars: 16
- Batch Effect Assessment Via Quality MetricsUse when when you have processed metabolomics LC-MS/MS data organizedVotes: 0GitHub stars: 16
- Batch Effect Correction And AdjustmentUse when your m/z peak data spans multiple batches (recorded in metadataVotes: 0GitHub stars: 16
- Batch Effect Correction ChromatographyUse when when analyzing untargeted LC/HRMS data from population-scaleVotes: 0GitHub stars: 16
- Batch Effect Correction Qc ReferenceUse when your peak intensity matrix exhibits batch-to-batch variationVotes: 0GitHub stars: 16
- Batch Effect Correction Reference BasedUse when when you have log-transformed metabolite abundance data fromVotes: 0GitHub stars: 16
- Batch Effect Correction WorkflowUse when you have a feature table generated from LC-MS/MS non-targetedVotes: 0GitHub stars: 16
- Batch Effect Detection And QuantificationUse when after merging feature tables from multiple LC-MS/MS analyticalVotes: 0GitHub stars: 16
- Batch Effect Matrix Construction'Use when when you need to generate synthetic metabolomics feature tablesVotes: 0GitHub stars: 16
- Batch Effect Visualization PcaUse when after applying CordBat batch correction to a log2-transformedVotes: 0GitHub stars: 16
- Batch File Processing OrchestrationUse when when you have multiple CDF imaging files (e.g., from mass spectrometryVotes: 0GitHub stars: 16
- Batch Generation And ValidationUse when you have raw mzML files and a feature table (CSV) from LCMSVotes: 0GitHub stars: 16
- Batch Normalization ImplementationUse when apply batch normalization after dense hidden layers (but notVotes: 0GitHub stars: 16
- Batch Preparation Class Imbalance HandlingUse when when you have raw mzML files and a feature table (CSV from mzMineVotes: 0GitHub stars: 16
- Batch Record ProcessingUse when when you have a repository containing hundreds or thousandsVotes: 0GitHub stars: 16
- Batch Script Execution And AutomationUse when you have generated a peak table or feature list output fileVotes: 0GitHub stars: 16
- Batch Spectral Record ProcessingUse when you have acquired MS/MS spectra in .msp format (e.g., from MassBankVotes: 0GitHub stars: 16