بدائل البحث:
algorithms within » algorithm within (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
within function » fibrin function (توسيع البحث), protein function (توسيع البحث), catenin function (توسيع البحث)
algorithms within » algorithm within (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
within function » fibrin function (توسيع البحث), protein function (توسيع البحث), catenin function (توسيع البحث)
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Random clustering rates and sensitivity of clustering strategies across varying settings.
منشور في 2025الموضوعات: -
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Random clustering rates and sensitivity of clustering strategies using the CDR length criterion.
منشور في 2025الموضوعات: -
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Motifs identified within the IDRs of the C-terminal regions of MADS-domain proteins.
منشور في 2025"…Type I MADS-domain proteins do not contain molecular recognition features (MoRFs; purple rectangles) near or within the identified motifs. In contrast, in Type II MADS-domain proteins, MoRFs (purple rectangles) overlap with the predicted motifs, supporting their potential functional relevance. …"
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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.…"
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Synthetic Realness: Authenticity as Algorithm (Reality Drift Working Paper Series, 2025)
منشور في 2025"…<p dir="ltr">This paper explores the concept of synthetic realness: how authenticity is increasingly engineered by algorithms until the line between real and fake becomes functionally irrelevant. …"
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Variants of weighted methods.
منشور في 2024"…At this point, considering the weights as the probabilities of the contributions of different attributes to the model can enhance the interpretation ability of the algorithm. Specifically, we add an entropy regularization term to the objective function of the problem model and then use the Lagrange multiplier method to solve the weights. …"
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Clinical characteristics of the participants.
منشور في 2025"…</p><p>Methods</p><p>We included 30 patients (48 eyes) who underwent HFA 24-2 Swedish Interactive Threshold Algorithm Standard and IMOvifa™ 24plus (1-2) Ambient Interactive Zippy Estimated tests on the same day and HFA 10-2 within six months. …"