The repair algorithm restores the electrophysiological behaviour of cut and repaired mouse pyramidal cells and allows for better predictions of neuronal function in human neurons. by Moritz Groden (18018276)

Exponent in memory kernel and intensity function. by Mariko I. Ito (5007323)

Algorithm of the scale-free induced subgroup. by Takayuki Niizato (162226)

Fitting results of the different optimization algorithms applied. by Sonja Langthaler (6069149)

Algorithm of M3VR. by Qi Xing (5844119)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

Subjects: “…Cell Biology…”

Functions of membership for <i>age</i> variable. by José Carlos R. Alcantud (6858155)

Functions of membership for <i>BMI</i> variable. by José Carlos R. Alcantud (6858155)

UNCOVER: Functional complementarity of alterations discovery. by Rebecca Sarto Basso (6728921)

Great machine learning performance with multiple classification algorithms. by Sydney C. Weiser (15383531)

Reconstruction performance across algorithms, dynamics, cell types, and recording length. by Christian Donner (3663007)

Subjects:

Example performance of the smooth-index algorithm. by Alexander Borst (32619)

Subjects:

DataSheet1_Mathematical algorithm–based identification of the functional components and mechanisms in depression treatment: An example of Danggui-Shaoyao-San.docx by Wenxia Gong (13277883)

Subjects: “…Cell Biology…”

AIF and VOF derived features used to feed the machine learning algorithms. by Ezequiel de la Rosa (11361108)

Top-ranked hub genes identified by 5 cytoHubba algorithms. by Jun Li (6494)

Brief sketch of the quasi-attraction/alignment algorithm. by Takayuki Niizato (162226)

“…(B) A sketch of the cover function, which returns the minimum cap on the interaction sphere , which covers all points <b><i>p</i></b>_<i>i</i> (for the mathematical definition, see the Section 2 in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010869#pcbi.1010869.s008" target="_blank">S1 Appendix</a>). …”

Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”

The empirical distribution function and fitted distribution functions for data sets <i>Q</i> and <i>T</i>. by Salem A. Alyami (10572611)

Functions of membership for <i>FEV1%</i> variable. by José Carlos R. Alcantud (6858155)

WGCNA and machine learning algorithms. by Shushu Wang (6870191)