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within function » fibrin function (Expand Search), python function (Expand Search), protein function (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
within function » fibrin function (Expand Search), python function (Expand Search), protein function (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
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Frequency of frameshift mutations in tumor suppressor genes within TCGA and DFCI cohorts.
Published 2021Subjects: -
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Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH).
Published 2024“…<b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …”
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Basic types of LabVIEW scripting functions used for the purpose of automated code generation.
Published 2024Subjects: -
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Experiment 2D and 5D: Progressive Sample Scaling Algorithm To Solve Many-Affine BBOB Functions.
Published 2024“…</p><p dir="ltr"><b>Objectives</b></p><ul><li>Solve Many-Affine BBOB Functions using a Deterministic Algorithm.</li></ul><p dir="ltr"><b>Limitations</b></p><ul><li>This algorithm is designed for Many-Affine BBOB problems of 2 and 5 dimensions.…”
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Data_Sheet_1_Unsupervised clustering algorithms improve the reproducibility of dynamic contrast-enhanced magnetic resonance imaging pulmonary perfusion quantification in muco-obstr...
Published 2022“…Quantifying the extent of abnormalities using unsupervised clustering algorithms in residue function maps leads to intrinsic normalization and could reduce variability.…”
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Relearning under noisy feedback signal using recursive-least-squares algorithm and local learning algorithm [47].
Published 2021“…<p>(A-B) Relearning performance, measured as mean squared error (MSE), as a function of the amplitude of the noise in the feedback signal using recursive-least-squares (RLS) algorithm (A) and an alternative implementation with a local learning algorithm (Eprop) (B). …”
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