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Claude Skills by HolobiomicsLab
github.com/HolobiomicsLab7,765 skills0 installs8,278 views
- Topic Modeling Hyperparameter OptimizationUse when when preparing to apply LDA to a new MS/MS spectral datasetVotes: 0GitHub stars: 15
- Topic Modeling Lda ApplicationUse when you have redundancy-filtered, tokenized BGCs (each gene representedVotes: 0GitHub stars: 15
- Topic Modeling LdaUse when after generating a corpus/features JSON file from raw MS2 fragmentationVotes: 0GitHub stars: 15
- Topn Acquisition Parameter TuningUse when when you have real LC-MS/MS data (mzML format) from an untargetedVotes: 0GitHub stars: 15
- Total Ion Current CalculationUse when after loading all MS1 scans from a raw or intermediate massVotes: 0GitHub stars: 15
- Total Ion Current QuantificationUse when you have loaded a mass spectrometry imaging pixel array (NumPyVotes: 0GitHub stars: 15
- Tracer Impurity Correction ModelingUse when when processing LC-MS data from isotope labeling experimentsVotes: 0GitHub stars: 15
- Tracer Metabolite Pair MatchingUse when you have acquired LC-MS peak tables from both unlabeled (12C)Votes: 0GitHub stars: 15
- Train Test Split VerificationUse when after applying a configuration fix (e.g., adding an instrumentVotes: 0GitHub stars: 15
- Train Validation Test Split ManagementUse when when you have a complete dataset of labeled examples (e.g.,Votes: 0GitHub stars: 15
- Training Convergence Loss MonitoringUse when executing a multi-stage deep learning pipeline (pretrainingVotes: 0GitHub stars: 15
- Training Data Generation From Reference FeaturesUse when you have isolated, manually curated reference chromatographicVotes: 0GitHub stars: 15
- Training Data Inventory Construction From Spectral LibrariesUse when you are preparing to apply Probability Product Kernel–basedVotes: 0GitHub stars: 15
- Training Data Loading And PreprocessingUse when you have downloaded raw LC-MS spectral peak data from a publicVotes: 0GitHub stars: 15
- Training Dataset AssemblyUse when when you have a large list of SMILES strings but lack correspondingVotes: 0GitHub stars: 15
- Training Metric Monitoring TorchmetricsUse when during supervised model training loops when you need to logVotes: 0GitHub stars: 15
- Training Validation Dataset StratificationUse when when you have a complete labelled MS/MS spectral dataset annotatedVotes: 0GitHub stars: 15
- Training Validation Test Set AllocationUse when after labeling a representative subset of peaks (typically 10–20Votes: 0GitHub stars: 15
- Transcript Abundance Normalization Across Cell LinesUse when you have computed raw RAS values for multiple cell lines orVotes: 0GitHub stars: 15
- Transcript Abundance Quantification With SalmonUse when you have adapter-trimmed FASTQ files and need to obtain transcript-levelVotes: 0GitHub stars: 15
- Transcriptome Metabolome Correlation AnalysisUse when you have paired spatial transcriptome and metabolome featureVotes: 0GitHub stars: 15
- Transcriptomics Reaction Activity ScoringUse when you have RNA-seq read counts (FPKM or similar) for multipleVotes: 0GitHub stars: 15
- Transfer Learning Encoder FreezingUse when you have a pretrained spectrum encoder (e.g., TCN on mass spectrometryVotes: 0GitHub stars: 15
- Transfer Learning Fine TuningUse when you have collected liquid chromatography (LC) spectra and retentionVotes: 0GitHub stars: 15
- Transfer Learning Model AdaptationUse when you have a pre-trained ABCoRT model checkpoint and a new chromatographyVotes: 0GitHub stars: 15
- Transformation Classification Biotic AbioticUse when after mass-difference network generation has matched pairwiseVotes: 0GitHub stars: 15
- Transformation Method ComparisonUse when when you have paired microbiome (16S rRNA or functional) andVotes: 0GitHub stars: 15
- Transformation Network Topology AnalysisUse when when you have pre-processed FT-ICR MS peak lists with assignedVotes: 0GitHub stars: 15
- Transformation Product Data ExtractionUse when after generating or obtaining a TP object (via generateTPs withVotes: 0GitHub stars: 15
- Transformation Product Parent LinkageUse when after suspect screening has identified both parent featuresVotes: 0GitHub stars: 15
- Transformation Product PredictionUse when after parent chemical suspects have been identified in a non-targetVotes: 0GitHub stars: 15
- Transformer Architecture ImplementationUse when when building a neural network to map between mass spectrometryVotes: 0GitHub stars: 15
- Transformer Architecture InferenceUse when you have acquired or generated multi-modal spectroscopic dataVotes: 0GitHub stars: 15
- Transformer Attention Mechanism Implementation'Use when you have a sequence-to-structure prediction task where: (1)Votes: 0GitHub stars: 15
- Transformer Based Fragment AssemblyUse when when you have CNN-encoded spectral features (¹H and/or ¹³C NMR)Votes: 0GitHub stars: 15
- Transformer Cnn Hybrid Model TrainingUse when you have preprocessed 1H NMR spectral data with compound labelsVotes: 0GitHub stars: 15
- Transformer Encoder Architecture DesignUse when when you need to learn chemical-rational embeddings of tandemVotes: 0GitHub stars: 15
- Transformer Encoder Architecture ImplementationUse when when processing sequential spectroscopic data (1H NMR spectra)Votes: 0GitHub stars: 15
- Transformer Encoder Architecture TrainingUse when you have paired tandem MS spectra and either (1) molecular fingerprintsVotes: 0GitHub stars: 15
- Transformer Encoder Decoder InferenceUse when when you have preprocessed MS/MS spectra (normalized intensities,Votes: 0GitHub stars: 15
- Transformer Input PreprocessingUse when preparing chemical formulae (e.g., 'C6H12O6') as inputs to aVotes: 0GitHub stars: 15
- Transformer Input Representation ConstructionUse when you have variable-length MS/MS peak lists (m/z arrays and intensityVotes: 0GitHub stars: 15
- Transformer Model Inference On Spectral DataUse when you have a 1D 1H NMR spectrum represented as chemical shiftVotes: 0GitHub stars: 15
- Transformer Model InferenceUse when you have electron ionization mass spectrum data (m/z and intensityVotes: 0GitHub stars: 15
- Transformer Model TrainingUse when you have a dataset of augmented simulated overlapped GC-MS peaksVotes: 0GitHub stars: 15
- Transient Window Function ApplicationUse when when processing raw FT-ICR transient files (Bruker Solarix .dVotes: 0GitHub stars: 15
- Transition Group Feature ExtractionUse when when you have loaded a TransitionGroup (extracted ion chromatogramVotes: 0GitHub stars: 15
- Transition Group Peak PickingUse when you have loaded extracted ion chromatogram (XIC) data from DIAVotes: 0GitHub stars: 15
- Transition List Formatting For Targeted AnalysisUse when you have generated or assembled a lipid spectral library withVotes: 0GitHub stars: 15
- Treatment Group Comparison DesignUse when you have paired metabolomics count data and metadata with atVotes: 0GitHub stars: 15