cell-annotation
Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.
Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.
Standard scRNA-seq preprocessing and clustering with Scanpy. Use for QC, normalization, HVG selection, PCA, neighbor graph construction, UMAP, Leiden clustering, and export of an analysis-ready AnnData object.
Review SDS-PAGE or protein purification gel images using DNA sequence, protein sequence, base-pair length, expected protein size, and lane labels. Use when the user wants to judge whether a gel ran well, whether the main band matches the expected product, or whether there may be impurities, degradation, aggregation, or low expression.
Upscale and enhance images with Real-ESRGAN, Thera, Topaz, FLUX Upscaler via inference.sh CLI. Models: Real-ESRGAN, Thera (any size), FLUX Dev Upscaler, Topaz Image Upscaler. Use for: enhance low-res images, upscale AI art, restore old photos, increase resolution. Triggers: upscale image, image upscaler, enhance image, increase resolution, real esrgan, ai upscale, super resolution, image enhancement, upscaling, enlarge image, higher resolution, 4k upscale, hd upscale
针对包含激励信号的10Hz采样电池数据,利用FFT(含去直流和加窗处理)计算特定频率的电化学阻抗并绘制奈奎斯特图。
针对树莓派等边缘设备,设计基于PyTorch的轻量级CNN模型,用于将5帧RAW图像融合为RGB图像。要求采用类UNet结构,集成注意力机制,并确保推理时延低于30ms。
Generates sentences in specific languages based on provided grammatical feature strings or morphological glosses, and analyzes sentences to produce single-line grammatical feature breakdowns.
Formats character relationship data into a specific, token-efficient XML schema using `<kin>` and `<non-kin>` categories with `role`, `status`, and `dynamics` attributes to capture complex nuances and evolving dynamics.
Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an `ema_analysis` list based on user-defined logic (EMA crossovers or price comparisons).
讀取CSV文件,僅使用csv庫且不使用SequenceMatcher,計算第一列目標基因型與後續每一列基因型的相似度。
Solves algebraic problems including quadratic equations (via specific methods like square root or formula), polynomial factoring, and graphing. Ensures solutions are in simplified radical or reduced fraction form, with intercepts as ordered pairs.
Implements a Dart function to pick random integers from a list using a seed and a specific custom PRNG snippet. Ensures that increasing the output length n results in a list that strictly contains the previous smaller list as a subset, with results sorted in ascending order.
Reconstructs text into the hypothetical Pre-Indo-European Cucuteni–Trypillia substrate of the West-Western Yamnaya region, utilizing multidisciplinary data and theoretical frameworks while strictly avoiding Yamnaya admixtures.
Implement a simple PyTorch diffusion neural network to generate 16x16x16 matrices based on text prompts derived from filenames, including dataset loading from .raw files and saving outputs.
Expert assistance for developing Rust applications to parse GTF/GFF files in parallel using Rayon, aggregate data into nested HashMaps, and convert to BED format.
Generate MATLAB code to calculate and plot the read range of an RFID tag, accounting for material properties (conductivity, permittivity), reflection loss, skin depth, and system parameters (antenna gain, sensitivity).
Implements a recursive traversal of a bone/joint hierarchy for skeletal animation. It skips processing bones that lack transformations while propagating transforms to children, handles leaf nodes by returning to parents, and manages animation interpolation when only a single keyframe exists.