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Data analysis, BI, visualization, datasets, statistics, and ML workflows
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- 182 Competing Risks 2d90218dCompeting risks occur when subjects can experience one of several mutually exclusive events (event types). When one event occurs, it prevents ("competes with") the occurrence of other events.Votes: 0GitHub stars: 9
- 1506 Usage Guide 25f42986Diversity analysis characterizes microbial community structure through alpha (within-sample) and beta (between-sample) diversity metrics using phyloseq and vegan.Votes: 0GitHub stars: 9
- 1506 Usage Guide 18078678Volcano plots display statistical significance (-log10 p-value) vs effect size (log2 fold change) for differential expression or association results, with customizable thresholds and gene labels.Votes: 0GitHub stars: 9
- 1097 Troubleshooting Ed9e00a8``` Checklist: [ ] Key is correctly copied (no extra spaces) [ ] Key hasn't expired [ ] Key has required permissions [ ] Correct provider selected [ ] Account is activeVotes: 0GitHub stars: 9
- 1025 Stats Diagnostics F4d8ec3cThis document provides comprehensive guidance on statistical tests, diagnostics, and tools available in statsmodels.Votes: 0GitHub stars: 9
- 051 Api Reference Ed792438Pre-configured voices available through the skill with sensible defaults:Votes: 0GitHub stars: 9
- 051 Api Reference 0af6421dThis document provides comprehensive API reference for PyDESeq2 classes, methods, and utilities.Votes: 0GitHub stars: 9
- 751 Quantum Ml 6a1991201. [Hybrid Quantum-Classical Models](#hybrid-quantum-classical-models) 2. [Framework Integration](#framework-integration) 3. [Quantum Neural Networks](#quantum-neural-networks) 4. [Variational Classifiers](#variational-classifiers) 5. [Training and Optimization](#training-and-optimization) 6. [Data Encoding Strategies](#data-encoding-strategies) 7. [Transfer Learning](#transfer-learning)Votes: 0GitHub stars: 9
- 707 Preprocessing B40925dbData preprocessing transforms raw data into a format suitable for machine learning models. This includes scaling, encoding, handling missing values, and feature engineering.Votes: 0GitHub stars: 9
- 690 Pipelines And Composition C856b5b2Pipelines chain multiple processing steps into a single estimator, preventing data leakage and simplifying code. They enable reproducible workflows and seamless integration with cross-validation and hyperparameter tuning.Votes: 0GitHub stars: 9
- 541 Machine Learning Defc2eafThis reference covers Vaex's machine learning capabilities including transformers, encoders, feature engineering, model integration, and building ML pipelines on large datasets.Votes: 0GitHub stars: 9
- 423 Getting Started 0d7c06f8PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. It enables training quantum computers like neural networks through automatic differentiation and seamless integration with classical machine learning frameworks.Votes: 0GitHub stars: 9
- 262 Dataframes E80128e5Dask DataFrames enable parallel processing of large tabular data by distributing work across multiple pandas DataFrames. As described in the documentation, "Dask DataFrames are a collection of many pandas DataFrames" with identical APIs, making the transition from pandas straightforward.Votes: 0GitHub stars: 9
- 958 Sequence Io Eb20a075Bio.Seq provides the `Seq` object for biological sequences with specialized methods, while Bio.SeqIO offers a unified interface for reading, writing, and converting sequence files across multiple formats.Votes: 0GitHub stars: 9
- 594 Models D646b2e5PyHealth provides 33+ models for healthcare prediction tasks, ranging from simple baselines to state-of-the-art deep learning architectures. Models are organized into general-purpose architectures and healthcare-specific models.Votes: 0GitHub stars: 9
- 263 Datasets Bc62c85cIndividual medical occurrences with attributes including: - **code**: Medical code (diagnosis, medication, procedure, lab test) - **vocabulary**: Coding system (ICD-9-CM, NDC, LOINC, etc.) - **timestamp**: Event occurrence time - **value**: Numeric value (for labs, vital signs) - **unit**: Measurement unitVotes: 0GitHub stars: 9
- 223 Cox Models D962d9d3Cox proportional hazards models are semi-parametric models that relate covariates to the time of an event. The hazard function for individual *i* is expressed as:Votes: 0GitHub stars: 9
- 1089 Training Evaluation C049d5afPyHealth provides comprehensive tools for training models, evaluating predictions, ensuring model reliability, and interpreting results for clinical applications.Votes: 0GitHub stars: 9
- 594 Models 5ef9e576The transformers library provides flexible model loading with automatic architecture detection, device management, and configuration control.Votes: 0GitHub stars: 9
- 923 Rois 79e1033dThis reference covers creating, retrieving, and analyzing ROIs in OMERO.Votes: 0GitHub stars: 9
- 682 Performance 49cc1262```tsx import { memo } from 'react';Votes: 0GitHub stars: 9
- 567 Medical Coding 64510b53Healthcare data uses multiple coding systems and standards. PyHealth's MedCode module enables translation and mapping between medical coding systems through ontology lookups and cross-system mappings.Votes: 0GitHub stars: 9
- 160 Code Generation Printing B6f5e8b8This document covers SymPy's capabilities for generating executable code in various languages, converting expressions to different output formats, and customizing printing behavior.Votes: 0GitHub stars: 9
- 1156 Workflows 1a1f99bfThis document provides detailed step-by-step workflows for common COBRApy tasks in metabolic modeling.Votes: 0GitHub stars: 9