بدائل البحث:
algorithms brain » algorithms within (توسيع البحث), algorithms based (توسيع البحث), algorithms using (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
brain function » barrier function (توسيع البحث), protein function (توسيع البحث)
algorithms brain » algorithms within (توسيع البحث), algorithms based (توسيع البحث), algorithms using (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
brain function » barrier function (توسيع البحث), protein function (توسيع البحث)
-
121
Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection
منشور في 2025"…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…"
-
122
Presentation of the DySCo framework.
منشور في 2025"…<p>A: What is dynamic Functional Connectivity: i) We can start from any set of brain recordings, where each signal is referred to a brain location (e.g. fMRI, EEG, intracranial recordings in rodents, and more). ii) “Static” Functional Connectivity (FC) is a matrix where each entry is a time aggregated functional measure of interaction between two regions, for example, the Pearson Correlation Coefficient. iii) Dynamic Functional Connectivity (dFC) is a FC matrix (that can be calculated in different ways, see below) that changes with time, under the assumption that patterns of brain interactions are non-stationary. …"
-
123
-
124
-
125
-
126
-
127
-
128
-
129
-
130
-
131
-
132
Overview of MINT.
منشور في 2025"…<p>A: List of main MINT functions. B: MINT provides multivariate information theoretic functions to quantify the amount of information that single neurons or neural populations carry about task-relevant variables (e.g., sensory stimuli or behavioral choices). …"
-
133
Statistical significance of the proposed method.
منشور في 2025"…<div><p>The functional near-infrared spectroscopy-based brain-computer interface (fNIRS-BCI) systems recognize patterns in brain signals and generate control commands, thereby enabling individuals with motor disabilities to regain autonomy. …"
-
134
-
135
Data Sheet 1_Machine learning models predict coagulopathy in traumatic brain injury patients in ER.csv
منشور في 2025"…<p>Traumatic brain injury (TBI) is a critical emergency condition, with 15–35% of patients developing coagulopathy, increasing risks of secondary brain injury and mortality. …"
-
136
Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms
منشور في 2025"…This framework provides scalable, reproducible insights into astrocyte behavior, advancing understanding of glial cell function in brain injury and repair.</p>…"
-
137
Table 1_Identifying pyroptosis-hub genes and immune infiltration in neonatal hypoxic-ischemic brain injury.docx
منشور في 2025"…Immune infiltration analysis revealed that, compared to the control group, the HIBD group exhibited higher levels of innate immune cells (e.g., macrophages, M0 cells, and dendritic cells) and adaptive immune cells (e.g., CD8 naïve T cells, CD4 follicular helper T cells, and Th1 cells). The ssGSEA algorithm results indicated differences in 25 types of immune cells and 10 immune functions. …"
-
138
-
139
-
140
Detailed sequences of primers for PCR.
منشور في 2025"…<div><p>Epilepsy is a common brain disease that causes different types of seizures, with an incidence rate of nearly 1%. …"