GitHub
pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
☆ 8,602Voir le skill
Skills IA tools scientific computing
Découvrez les skills tools scientific computing, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools scientific computing
tools scientific computing Effacer les filtres
Explorer
GitHub
scientific-brainstorming
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage resear...
☆ 8,602Voir le skill
GitHub
simpy
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service o...
☆ 8,602Voir le skill
GitHub
pytdc
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
☆ 8,602Voir le skill
GitHub
research
Comprehensive research, analysis, and content extraction system. USE WHEN user says 'do research', 'do extensive research', 'quick research', 'minor research', 'research this', 'find information', 'investigate'...
☆ 6,264Voir le skill
GitHub
research
Comprehensive research, analysis, and content extraction system. USE WHEN user says 'do research', 'do extensive research', 'quick research', 'minor research', 'research this', 'find information', 'investigate'...
☆ 6,263Voir le skill
GitHub
firstprinciples
First principles analysis. USE WHEN first principles, fundamental, root cause, decompose. SkillSearch('firstprinciples') for docs.
☆ 6,263Voir le skill
GitHub
firstprinciples
First principles analysis. USE WHEN first principles, fundamental, root cause, decompose. SkillSearch('firstprinciples') for docs.
☆ 6,263Voir le skill
GitHub
entropy
Problem-solving strategies for entropy in information theory
☆ 3,508Voir le skill
GitHub
interpolation
Problem-solving strategies for interpolation in numerical methods
☆ 3,508Voir le skill
GitHub
open-sets
Problem-solving strategies for open sets in topology
☆ 3,508Voir le skill
GitHub
prime-numbers
Problem-solving strategies for prime numbers in graph number theory
☆ 3,508Voir le skill
GitHub
source-coding
Problem-solving strategies for source coding in information theory
☆ 3,508Voir le skill
GitHub
root-finding
Problem-solving strategies for root finding in numerical methods
☆ 3,508Voir le skill
GitHub
numerical-integration
Problem-solving strategies for numerical integration in numerical methods
☆ 3,508Voir le skill
GitHub
running-clustering-algorithms
Analyze datasets by running clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups. Use when requesting "run clustering", "cluster analysis", or "group data points". Trigger with relevant...
☆ 1,308Voir le skill
GitHub
splitting-datasets
Process split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based...
☆ 1,308Voir le skill
GitHub
detecting-memory-leaks
Detect potential memory leaks and analyze memory usage patterns in code. Use when troubleshooting performance issues related to memory growth or identifying leak sources. Trigger with phrases like "detect memor...
☆ 1,308Voir le skill
GitHub
forecasting-time-series-data
This skill enables Claude to forecast future values based on historical time series data. It analyzes time-dependent data to identify trends, seasonality, and other patterns. Use this skill when the user asks t...
☆ 1,307Voir le skill
GitHub
detecting-data-anomalies
This skill empowers Claude to identify anomalies and outliers within datasets. It leverages the anomaly-detection-system plugin to analyze data, apply appropriate machine learning algorithms, and highlight unus...
☆ 1,307Voir le skill
GitHub
performing-regression-analysis
This skill empowers Claude to perform regression analysis and modeling using the regression-analysis-tool plugin. It analyzes datasets, generates appropriate regression models (linear, polynomial, etc.), valida...
☆ 1,307Voir le skill
GitHub
cohort-analysis-creator
Cohort Analysis Creator - Auto-activating skill for Data Analytics. Triggers on: cohort analysis creator, cohort analysis creator Part of the Data Analytics skill category.
☆ 1,307Voir le skill
GitHub
forecasting-time-series-data
This skill enables Claude to forecast future values based on historical time series data. It analyzes time-dependent data to identify trends, seasonality, and other patterns. Use this skill when the user asks t...
☆ 1,307Voir le skill
GitHub
engineering-features-for-machine-learning
Execute create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analysis. Use when asked to "engineer features" or "select feature...
☆ 1,307Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.