Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. by Alexis M. Thornton (11068403)

Subjects:

The schematic view of the Radial Basis Function (RBF) algorithm. by Mohsen Yoosefzadeh-Najafabadi (6917399)

Frequency of frameshift mutations in tumor suppressor genes within TCGA and DFCI cohorts. by Alexis M. Thornton (11068403)

Subjects:

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. …”

Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF by Minhua Guo (18392646)

Comparison of edge detector and CHT in detecting droplets. by Manibarathi Vaithiyanathan (6655274)

Schematic representations of coding potential of the 561 whole genome sequences in our analysis at putative open reading frames. by Jordan P. Skittrall (5100746)

Subjects:

Rg of wild-type BDNF and its V66M variant. by Clara Carolina Silva De Oliveira (6612539)

SASA of wild-type BDNF and its V66M variant. by Clara Carolina Silva De Oliveira (6612539)

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

General idea of alternative structures of aptamers binding the same ligand and its specific implementation scheme for the BioRS function. by Alexander V. Spirov (11302085)

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”

Backbone RMSD of wild-type BDNF and its V66M variant. by Clara Carolina Silva De Oliveira (6612539)

Supplementary file 1_Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules.docx by Fatima Wardi (22052360)

“…The extracted parameters for each case study are used to reconstruct the I–V and power–voltage (P–V) characteristic curves for the respective solar cell and photovoltaic module technologies. To validate the performance and efficiency of the algorithm, various statistical criteria are computed, including individual absolute error (IAE), relative error (RE), root mean square error (RMSE), mean absolute error (MAE), standard deviation (SD), tracking signal (TS), normalized forecast measure (NFM), and the autocorrelation function (ACF). …”

Skeletonisation algorithm. by Jordan Hembrow (16908051)

Data_Sheet_1_A Fast DFA Algorithm for Multifractal Multiscale Analysis of Physiological Time Series.ZIP by Paolo Castiglioni (4488004)

“…Recent researches extended its use for evaluating multifractality (where α is a function of the multifractal parameter q) at different scales n. …”

DataSheet_1_Superiorization of projection algorithms for linearly constrained inverse radiotherapy treatment planning.pdf by Florian Barkmann (15152004)

“…Superiorization combines a feasibility-seeking projection algorithm with objective function reduction: The underlying projection algorithm is perturbed with gradient descent steps to steer the algorithm towards a solution with a lower objective function value compared to one obtained solely through feasibility-seeking.…”