يعرض 41 - 50 نتائج من 50 نتيجة بحث عن '(( algorithm python function ) OR ( algorithms cell function ))~', وقت الاستعلام: 0.56s تنقيح النتائج
  1. 41

    S1 Graphical abstract - حسب José M. Rivera-Arbeláez (12418512)

    منشور في 2025
    "…<div><p>Engineered heart tissues (EHTs) have shown great potential in recapitulating tissue organization, functions, and cell-cell interactions of the human heart <i>in vitro</i>. …"
  2. 42
  3. 43

    GameOfLife Prediction Dataset حسب David Towers (12857447)

    منشور في 2025
    "…</p><p dir="ltr">The goal of this dataset is to predict the number of cells alive in the next generation. This task is relatively simple for a human to do if a bit tedious, and should theoretically be simple for Machine Learning algorithms. …"
  4. 44

    Sudoku Dataset حسب David Towers (12857447)

    منشور في 2024
    "…(I.e., a label of 1 means the target cell should be a 2.)</p> <p>NumPy (.npy) files can be opened through the NumPy Python library, using the `numpy.load()` function by inputting the path to the file into the function as a parameter. …"
  5. 45

    Datasheet1_A Workflow for Rapid Unbiased Quantification of Fibrillar Feature Alignment in Biological Images.zip حسب Stefania Marcotti (5896853)

    منشور في 2021
    "…Using pre-existing datasets of cell and ECM images, we demonstrate our approach and compare and contrast this workflow with two other well-known ImageJ algorithms to quantify image feature alignment. …"
  6. 46

    Mechanomics Code - JVT حسب Carlo Vittorio Cannistraci (5854046)

    منشور في 2025
    "…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…"
  7. 47

    PySilsub—a toolbox for silent substitution حسب Joel Martin (11864048)

    منشور في 2022
    "…<p>A normal human retina contains several classes of photosensitive cell—rods for low-light vision, three types of cones for daylight vision, and the intrinsically photosensitive retinal ganglion cells (ipRGCs) expressing melanopsin for controlling non-image-forming functions (e.g., pupil size, circadian rhythms). …"
  8. 48

    Barro Colorado Island 50-ha plot aerial photogrammetry orthomosaics and digital surface models for 2018-2023: Globally and locally aligned time series. حسب Vicente Vasquez (13550731)

    منشور في 2023
    "…The local alignment algorithms at times produced distortions which have the potential to remove some of the signals of interest (e.g., obscuring tree crown growth or damage, as the edges of crowns are aligned across dates). …"
  9. 49

    <b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> حسب Shubham Pawar (22471285)

    منشور في 2025
    "…</p><h2>Project Structure</h2><pre><pre>Perception_based_neighbourhoods/<br>├── raw_data/<br>│ ├── ET_cells_glasgow/ # Glasgow grid cells for analysis<br>│ └── glasgow_open_built/ # Built area boundaries<br>├── svi_module/ # Street View Image processing<br>│ ├── svi_data/<br>│ │ ├── svi_info.csv # Image metadata (output)<br>│ │ └── images/ # Downloaded images (output)<br>│ ├── get_svi_data.py # Download street view images<br>│ └── trueskill_score.py # Generate TrueSkill scores<br>├── perception_module/ # Perception prediction<br>│ ├── output_data/<br>│ │ └── glasgow_perception.nc # Perception scores (demo data)<br>│ ├── trained_models/ # Pre-trained models<br>│ ├── pred.py # Predict perceptions from images<br>│ └── readme.md # Training instructions<br>└── cluster_module/ # Neighbourhood clustering<br> ├── output_data/<br> │ └── clusters.shp # Final neighbourhood boundaries<br> └── cluster_perceptions.py # Clustering algorithm<br></pre></pre><h2>Prerequisites</h2><ul><li>Python 3.8 or higher</li><li>GDAL/OGR libraries (for geospatial processing)</li></ul><h2>Installation</h2><ol><li>Clone this repository:</li></ol><p dir="ltr">Download the zip file</p><pre><pre>cd perception_based_neighbourhoods<br></pre></pre><ol><li>Install required dependencies:</li></ol><pre><pre>pip install -r requirements.txt<br></pre></pre><p dir="ltr">Required libraries include:</p><ul><li>geopandas</li><li>pandas</li><li>numpy</li><li>xarray</li><li>scikit-learn</li><li>matplotlib</li><li>torch (PyTorch)</li><li>efficientnet-pytorch</li></ul><h2>Usage Guide</h2><h3>Step 1: Download Street View Images</h3><p dir="ltr">Download street view images based on the Glasgow grid sampling locations.…"
  10. 50

    Expression vs genomics for predicting dependencies حسب Broad DepMap (5514062)

    منشور في 2024
    "…</p><p dir="ltr"><br></p><p dir="ltr">PerturbationInfo.csv: Additional drug annotations for the PRISM and GDSC17 datasets</p><p dir="ltr"><br></p><p dir="ltr">ApproximateCFE.hdf5: A set of Cancer Functional Event cell features based on CCLE data, adapted from Iorio et al. 2016 (10.1016/j.cell.2016.06.017)</p><p dir="ltr"><br></p><p dir="ltr">DepMapSampleInfo.csv: sample info from DepMap_public_19Q4 data, reproduced here as a convenience.…"