بدائل البحث:
algorithm fibrin » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm from (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
fibrin function » brain function (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm etc » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithm a (توسيع البحث)
etc function » spc function (توسيع البحث), fc function (توسيع البحث), npc function (توسيع البحث)
algorithm fibrin » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm from (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
fibrin function » brain function (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm etc » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithm a (توسيع البحث)
etc function » spc function (توسيع البحث), fc function (توسيع البحث), npc function (توسيع البحث)
-
141
Gene-drug interaction of the key regulators.
منشور في 2025"…Our analysis revealed 33 key regulators were predominantly enriched in neuroactive ligand-receptor interaction, Cell adhesion molecules, Leukocyte transendothelial migration pathways; positive regulation of cell proliferation, positive regulation of protein kinase B signaling biological functions; G-protein beta-subunit binding, receptor binding molecular functions etc. …"
-
142
DataSheet1_Identification of novel markers for neuroblastoma immunoclustering using machine learning.zip
منشور في 2024"…Three machine learning algorithms (LASSO, SVM-RFE, and Random Forest) were used to screen biomarkers and synthesize their function in neuroblastoma.…"
-
143
Code and data for evaluating oil spill amount from text-form incident information
منشور في 2025"…These are separately stored in the folders “description” and “posts”.</p><h2>Algorithms for Evaluating Release Amount (RA)</h2><p dir="ltr">The algorithms are split into the following three notebooks based on their functions:</p><ol><li><b>"1_RA_extraction.ipynb"</b>:</li><li><ul><li>Identifies oil spill-related incidents from raw incident data.…"
-
144
Image 1_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.tif
منشور في 2024"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"
-
145
Table 3_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx
منشور في 2024"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"
-
146
Table 1_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx
منشور في 2024"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"
-
147
Table 2_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx
منشور في 2024"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"
-
148
Spatiotemporal Soil Erosion Dataset for the Yarlung Tsangpo River Basin (1990–2100)
منشور في 2025"…Bias correction was conducted using a 25-year baseline (1990–2014), with adjustments made monthly to correct for seasonal biases. The corrected bias functions were then applied to adjust the years (2020–2100) of daily rainfall data using the "ibicus" package, an open-source Python tool for bias adjustment and climate model evaluation. …"
-
149
University of Arizona authors' scholarly works published and cited works year 2022 from OpenAlex
منشور في 2025"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"
-
150
University of Arizona authors' scholarly works published and cited works year 2023 from OpenAlex
منشور في 2025"…Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i></p><p><br></p>…"
-
151
University of Arizona authors' scholarly works published and cited works year 2021 from OpenAlex
منشور في 2025"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"
-
152
University of Arizona authors' scholarly works published and cited works year 2024 from OpenAlex
منشور في 2025"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"
-
153
University of Arizona authors' scholarly works published and cited works year 2020 from OpenAlex
منشور في 2025"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"
-
154
Code
منشور في 2025"…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
-
155
Core data
منشور في 2025"…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
-
156
Landscape17
منشور في 2025"…</p><p dir="ltr">We utilized TopSearch, an open-source Python package, to perform landscape exploration, at an estimated cost of 10<sup>5 </sup>CPUh. …"
-
157
MCCN Case Study 2 - Spatial projection via modelled data
منشور في 2025"…This study demonstrates: 1) Description of spatial assets using STAC, 2) Loading heterogeneous data sources into a cube, 3) Spatial projection in xarray using different algorithms offered by the <a href="https://pypi.org/project/PyKrige/" rel="nofollow" target="_blank">pykrige</a> and <a href="https://pypi.org/project/rioxarray/" rel="nofollow" target="_blank">rioxarray</a> packages.…"
-
158
Data Sheet 1_Machine learning models integrating intracranial artery calcification to predict outcomes of mechanical thrombectomy.pdf
منشور في 2025"…Eleven ML algorithms were trained and validated using Python, and external validation and performance evaluations were conducted. …"
-
159
Pressure control techniques in freeze-drying
منشور في 2025"…The most common Pressure control techniques would be listed as follows:</p><ul><li>PID method</li><li>Fuzzy logic</li><li>Max pressure algorithms</li><li>Reinforcement learning</li><li>Adaptive control</li><li>Setpoint profile tracking (Bang-bang control)</li></ul><p dir="ltr">Pressure control systems have to perform a particular task in the target process considering some key functionalities like: system dynamism, control performance, stability, adaptability, accuracy, etc. …"
-
160
a. How various statistical models account for modulation classification performance across the entire dataset.
منشور في 2025"…Parameters are <i>Type:</i> neuron classification (primary-like, sustained chopper, etc.); <i>CV:</i> Coefficient of variation of the interspike intervals in response to a pure tone at CF. …"