'esp' 검색 결과

Generate OpenAPI/Swagger documentation for an API, including endpoint schemas, request/response types, and interactive docs UI.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build Sankey, alluvial, river, and CONSORT-style flow diagrams to visualize cohort transitions, cell-state changes, or pipeline filtering using ggalluvial, networkD3, plotly, and consort. Use when showing how entities move between categories across timepoints (cell states, drug response classes, patient flow through a trial) or filtering pipelines (variants filtered through QC stages).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs adaptive clinical trials including group-sequential (O'Brien-Fleming, Pocock, Lan-DeMets spending), sample-size re-estimation (blinded Friede-Kieser, unblinded Cui-Hung-Wang, Mehta-Pocock promising zone), seamless Phase 2/3 with treatment-arm selection, population enrichment, and response-adaptive randomisation. Covers FDA 2019 Final Adaptive Designs Guidance, FDA 2022 Master Protocols, and ICH E20 Step 2b/3 draft (June 2025, NOT final). Use when planning interim analyses, sample-size re-estimation, or master/platform-trial designs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ToolUniverse plugin router. STEP 1 BEFORE ANY ANALYSIS: if the data folder contains `*_executed.ipynb`, run `tu run read_executed_notebook '{"data_folder":"<path>","search":"<keyword>"}'` to extract its cell outputs and apply EVERY filter/sample-exclusion the notebook used — even when the question says 'Using DESeq2/Run X/Compute Y' (this describes the METHOD the notebook used, not a request to rerun). The notebook's cell outputs are the only published authoritative answers; reimplementing or reading stale pre-computed CSVs in the data folder produces different numbers because of outlier-sample removal, library version, and filter steps you don't see by skimming. STEP 2 routing — pick a sub-skill name from this exact list (never invent): tooluniverse-rnaseq-deseq2 (RNA/miRNA-seq DE, correlation, PCA, clustering, dispersion), tooluniverse-gene-enrichment (GO/KEGG/Reactome/GSEA/pathway enrichment), tooluniverse-statistical-modeling (regression, ANOVA, ordinal/logistic, chi-square, correlation, power), tooluniverse-image-analysis (microscopy, colony, fluorescence, dose-response, .tif — including ANOVA / Dunnett / power-analysis on image-derived measurements), tooluniverse-epigenomics (DNA methylation, CpG, m6A, MeRIP-seq, bisulfite, ChIP-seq, chromatin), tooluniverse-sequence-analysis (FASTQ, Trimmomatic, BWA, samtools, coverage), tooluniverse-variant-analysis (VCF, VAF, SNP, mutation), tooluniverse-phylogenetics (treeness, PhyKIT, parsimony), tooluniverse-single-cell (scRNA, h5ad, scanpy), tooluniverse-crispr-screen-analysis (MAGeCK, sgRNA), tooluniverse-proteomics-analysis (mass spec, TMT). Use for CSV/Excel/VCF/FASTA/h5ad and any biology/chemistry/medicine analysis question.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Chemical safety and toxicology assessment integrating ADMET-AI predictions, CTD toxicogenomics, PubChemTox experimental data, GHS/IARC hazard classification, and exposure-context analysis. Use for chemical hazard identification, occupational/consumer-product toxicity, dose-response evaluation, and acute (LD50) vs chronic toxicity assessment. Distinguishes drug toxicity from environmental chemical toxicity.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Pharmacogenomics (PGx) research — drug-gene interactions (CPIC, PharmGKB), CPIC dosing guidelines, variant-drug-response associations, ethnic-allele-frequency considerations, and metabolizer-status scoring. Use for PGx-informed dosing recommendations, CYP/HLA pharmacogenomic allele interpretation, and clinically-actionable PGx report generation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Programmatic untargeted LC-MS feature extraction in R with the modern xcms 4.x MsExperiment/XcmsExperiment API, taking raw mzML to a feature table via CentWave peak detection, retention-time alignment, peak-density correspondence, gap-filling, CAMERA redundancy collapse, and built-in QC feature filtering. Use when converting centroided LC-MS runs into a features-by-samples matrix and deciding centWave/grouping/alignment parameters. For drift correction and QC/CV filtering execution see metabolomics/normalization-qc; for metabolite identification see metabolomics/metabolite-annotation; for the MS-DIAL GUI alternative with MS2Dec deconvolution see metabolomics/msdial-preprocessing; for downstream statistics see metabolomics/statistical-analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Performs 3D shape-based similarity searching using ROCS (OpenEye), USRCAT (ultra-fast), Open3DAlign (RDKit), ESPSim (electrostatic), and ShaEP with explicit handling of Tanimoto-Combo (shape + color), shape vs ECFP4 complementarity, conformer-ensemble searching, alignment optimization, and scaffold hopping. Use when searching for shape-mimicking compounds with different scaffolds, identifying bioisosteric replacements, prospective scaffold hopping, or expanding hit series beyond 2D similarity.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turns untargeted LC-MS/MS features (m/z, RT, MS/MS) into confidence-stratified metabolite annotations using spectral-library matching (matchms), in-silico tools (SIRIUS/CSI:FingerID, MetFrag) and molecular networking, and assigns a defensible MSI/Schymanski confidence level to each. Use when naming detected features, scoring MS/MS against a reference library, running SIRIUS, or deciding what confidence level an evidence set actually supports. For upstream feature extraction see metabolomics/xcms-preprocessing and metabolomics/msdial-preprocessing; for downstream enrichment that must respect these levels see metabolomics/pathway-mapping; for lipid-specific structural annotation see metabolomics/lipidomics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit a GTK4/libadwaita app for GNOME HIG compliance across 12 categories (text, icons, layout, shortcuts, accessibility, color, dialogs, responsiveness, CSS, GSettings, i18n), then fix violations category by category. Use when asked to audit, review, polish, or "make HIG-compliant" a GNOME app, or before a release/Flathub submission.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Add a standard GNOME preferences dialog (AdwPreferencesDialog) with Ctrl+comma shortcut, PreferencesPage/Group rows, and GSettings bindings. Use when adding settings or preferences UI to a GNOME app.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Responsive GNOME layouts: AdwBreakpoint conditions, BreakpointBin, MultiLayoutView, BottomSheet, narrow/wide layout swaps. Use when making an app work on phones or narrow windows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adapt designs for narrow, medium, wide, embedded, or print web contexts without losing usability, hierarchy, or target sizing. Use when the user mentions responsive design, breakpoints, narrow layouts, viewport changes, coarse-pointer browsers, or cross-context adaptation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Builds production-quality, accessible, responsive user-facing UIs. Use when building or modifying interfaces and pages, creating components, implementing layouts, meeting WCAG accessibility requirements, managing state, or when the output needs to look and feel production-quality rather than AI-generated.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create AI governance policies for responsible development and deployment. TRIGGERS - Use when user needs help with ai-governance-policy related tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design AI response caching strategies. TRIGGERS - Use when user needs help with ai-caching-strategy related tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Starts a CARLA UE 5.8 server from a ue58-dev tree — the editor binary in -game mode (the working headless server), the packaged shipping build, or the full editor — with offscreen/nullrhi rendering, custom RPC and streaming ports, and native ROS 2 via the single-dash -ros2 flag. Probes a running server, and stops one cleanly despite the 15-character process-name truncation. Use when the user asks to "run/start CARLA UE5", "launch a ue58 server", "run headless", "publish ROS 2 topics from UE5", or a client cannot reach the simulator.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Upstash サーバーレスデータプラットフォーム (マネージド SaaS の JS SDK)。 @upstash/redis (REST, pipelining, transactions, JSON, Redis Search, VECTOR/Array/Functions コマンド)、 @upstash/ratelimit (Fixed/Sliding Window, Token Bucket, blockUntilReady)、 QStash (publishJSON, schedules, queues, URL Groups, flow-control, DLQ)、 @upstash/vector (upsert, query, ANN, namespace, hybrid/sparse index, embedding models, reranking)、 @upstash/workflow (serve, durable execution, context.run/sleep/call/invoke, waitForEvent, parallel steps, agents)、 Upstash Search (@upstash/search, search, upsert, fetch, range, filtering, reranking, algorithm)、 @upstash/box (サンドボックス, filesystem, git, CDP, browser, network policy, snapshots, custom harness)、 upstash CLI。Rust 製 fandhe-db とは別。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Windows アプリ開発 (Win32 / WPF / WinForms 相互運用) の相互運用・近代化。 Win32 API (CreateWindowExW, WNDPROC, メッセージループ), COM (IUnknown, CoCreateInstance, ComPtr), CsWin32, windows-rs, C++/WinRT (winrt::com_ptr, IAsyncOperation, IDL, ABI 相互運用), C#/WinRT (cswinrt, ComWrappers, AOT/trimming, WindowNative), XAML Islands (DesktopWindowXamlSource, DesktopChildSiteBridge, WindowsXamlManager), HwndHost, HwndSource, WindowsFormsHost, ElementHost, UWP から Windows App SDK / WinUI 3 への移行 (namespace mapping, AppWindow, DispatcherQueue, .NET Upgrade Assistant)、 移行判断 (upgrade / modernize / migrate)、WinForms → WinUI 3 パターン対応、GitHub Copilot upgrade。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

GitHub 公式ドキュメント (docs.github.com)。REST API, GraphQL, Webhooks, GitHub Apps, OAuth Apps, gh CLI, PAT / GITHUB_TOKEN, Actions (jobs, steps, expressions, workflow commands, concurrency, OIDC, artifact attestations, lockfile), pull requests, issues, Projects v2, immutable releases, Codespaces, Packages, Copilot API / cloud agent, code scanning, secret scanning, Dependabot, Dependency graph / SBOM, Teams, Billing, activity (events / notifications)。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Motion (旧 Framer Motion) アニメーションライブラリ リファレンス。motion/react, vanilla JS, Vue 版 motion-v (v-motion ディレクティブ)。 AnimatePresence, AnimateView, LayoutGroup, LazyMotion, MotionConfig, Reorder, useAnimate, useScroll, useSpring, useTransform, useMotionValue, useInView, motionValue。 animate, animateView, scroll, inView, hover, press, stagger, spring, timeline, transitions, styleEffect, threeEffect。Motion+ Carousel, Cursor, Ticker, Typewriter, AnimateNumber。 layout, drag, gestures, SVG, Tailwind, Lenis 連携。accessibility, performance, bundle 最適化, troubleshooting。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

OpenAI API (developers.openai.com) の画像生成・画像入力リファレンス。 GPT Image 2.5 (`gpt-image-2.5-sunburst` / `flare`), Images API `images.generate` / `images.edit`, mask, reference images, quality xhigh / max, image prompting, image_generation tool (Responses API), vision (画像入力, detail, image tokens, cost calculator, vision fine-tuning)。 Sora 2 / Videos API は 2026-09-24 終了 (履歴のみ)。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

OpenAI API (developers.openai.com) の Responses API リファレンス。 text generation, embeddings, gpt-6-astra / gpt-6.1-sol / gpt-6-luna, structured outputs, streaming, function calling, programmatic / async tool calling, conversation state, prompt caching, prompt cache diagnostics, reasoning (configuration_update), background mode, compaction, multi-agent, WebSocket mode (mid-turn steering, stream_id), webhooks, error codes, rate limits, Realtime server controls, 公式 SDK (Python / JS / .NET / Java / Go / Ruby), openai CLI, Chat Completions / Assistants 移行, deprecations。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.