بدائل البحث:
bayesian optimization » based optimization (توسيع البحث)
structure generation » structure interaction (توسيع البحث), structure annotation (توسيع البحث), structure selection (توسيع البحث)
generation algorithm » genetic algorithm (توسيع البحث), detection algorithm (توسيع البحث), selection algorithm (توسيع البحث)
first structure » forest structure (توسيع البحث), fine structure (توسيع البحث), from structure (توسيع البحث)
binary first » bars first (توسيع البحث), binary pairs (توسيع البحث)
app bayesian » a bayesian (توسيع البحث), art bayesian (توسيع البحث), ph bayesian (توسيع البحث)
bayesian optimization » based optimization (توسيع البحث)
structure generation » structure interaction (توسيع البحث), structure annotation (توسيع البحث), structure selection (توسيع البحث)
generation algorithm » genetic algorithm (توسيع البحث), detection algorithm (توسيع البحث), selection algorithm (توسيع البحث)
first structure » forest structure (توسيع البحث), fine structure (توسيع البحث), from structure (توسيع البحث)
binary first » bars first (توسيع البحث), binary pairs (توسيع البحث)
app bayesian » a bayesian (توسيع البحث), art bayesian (توسيع البحث), ph bayesian (توسيع البحث)
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Data_Sheet_1_DINTD: Detection and Inference of Tandem Duplications From Short Sequencing Reads.docx
منشور في 2020"…The major principle of the proposed method is that it first extracts read depth and mapping quality signals, then uses the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm to find the possible TD regions. …"
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Schematic overview of SINATRA Pro: A novel framework for discovering biophysical signatures that differentiate classes of proteins.
منشور في 2022"…<p><b>(A)</b> The SINATRA Pro algorithm requires the following inputs: <i>(i)</i> (<i>x</i>, <i>y</i>, <i>z</i>)-coordinates corresponding to the structural position of each atom in every protein; <i>(ii)</i> <b>y</b>, a binary vector denoting protein class or phenotype (e.g., mutant versus wild-type); <i>(iii)</i> <i>r</i>, the cutoff distance for simplicial construction (i.e., constructing the mesh representation for every protein); <i>(iv)</i> <i>c</i>, the number of cones of directions; <i>(v)</i> <i>d</i>, the number of directions within each cone; <i>(vi)</i> <i>θ</i>, the cap radius used to generate directions in a cone; and <i>(vii)</i> <i>l</i>, the number of sublevel sets (i.e., filtration steps) used to compute the differential Euler characteristic (DEC) curve along a given direction. …"
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Flowchart of software workflow.
منشور في 2021"…Images are then segmented using the chosen segmentation algorithm to generate a binary mask (d). The image is then sent to ImageJ, where the network is skeletonized (e). …"
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PathOlOgics_RBCs Python Scripts.zip
منشور في 2023"…<p dir="ltr">The first algorithm for segmentation and localization (see PathOlOgics_script_1; segment & localize using a pen) relied on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing source images/patches. …"
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UMAHand: Hand Activity Dataset (Universidad de Málaga)
منشور في 2024"…The main directory also includes three descriptive plain text files and an image:</p><p dir="ltr">• "readme.txt": this file is a brief guide of the dataset which describes the basic characteristics of the database, the testbed or experimental framework used to generate it and the organization of the data file.</p><p dir="ltr">• "user_characteristics.txt": which contains a line of six numerical (comma-separated) values for each participant describing their personal characteristics in the following order: 1) an abstract user identifier (a number from 01 to 25), 2) a binary value indicating whether the participant is left-handed (0) or right-handed (1), 3) a numerical value indicating gender: male (0), female (1), undefined or undisclosed (2), 4) the weight in kg, and 5) the height in cm and 6) the age in years.…"