Search alternatives:
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
within function » fibrin function (Expand Search), protein function (Expand Search), catenin function (Expand Search)
python function » protein function (Expand Search)
algorithm a » algorithms a (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
a function » _ function (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
within function » fibrin function (Expand Search), protein function (Expand Search), catenin function (Expand Search)
python function » protein function (Expand Search)
algorithm a » algorithms a (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
a function » _ function (Expand Search)
-
561
-
562
-
563
Optimal progressively censored reliability sampling plans for log-location-scale distributions
Published 2025“…<p>Here, we introduce a variable neighborhood search algorithm-based approach to determine the minimum sample sizes required for progressively censored reliability sampling plans within the flexible family of log-location-scale family of distributions, which includes Weibull and log-logistic distributions. …”
-
564
-
565
-
566
Clinical characteristics of the participants.
Published 2025“…<div><p>Purpose</p><p>The IMOvifa™ perimeter with a 24plus (1-2) testing mode has additional measurement points within the central 10 degrees, which may help evaluate the visual field within this area. …”
-
567
-
568
-
569
-
570
-
571
-
572
-
573
-
574
Background heterogeneity and sequencing depth improve WheresWalker SNPindex.
Published 2025Subjects: -
575
-
576
-
577
Het<sup>wt</sup> distribution for <i>arches</i> WIK 1x28, 3x10, 4x5, and n = 50 datasets.
Published 2025Subjects: -
578
-
579
-
580
WheresWalker pipeline utilizes WGS data to identify segregating SNPs and indels.
Published 2025Subjects: