Overall rankings of single-objective optimization algorithms. by Máté Mohácsi (20469514)

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”

Overall rankings of optimization algorithms. by Máté Mohácsi (20469514)

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

Multiple locally optimal landscapes. by Shane Nowack (6786710)

Application of ABC SMC to the fitting of the binary flip with cusp model. by Elena Camacho-Aguilar (10906327)

Bayesian sequential design for sensitivity experiments with hybrid responses by Yuxia Liu (1779592)

“…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”

Schematic of the MRC algorithm. by Satoshi Ii (9010271)

The results of fitting the passive biophysical parameters of a morphologically detailed multi-compartmental model to experimental recordings from a hippocampal pyramidal neuron. by Máté Mohácsi (20469514)

The results of fitting the parameters of a synaptic connection based on simulated voltage-clamp recordings. by Máté Mohácsi (20469514)

Additional information on the sequence model. by Jérôme Tubiana (14559981)

Medium-throughput filtering by structural modeling and microarray screening. by Jérôme Tubiana (14559981)

Fitting single-cell data to the stochastic model. by Benjamin D. Maier (13994415)

Probability graphical model of scMSI. by Yuqian Liu (1413763)

DataSheet1_Comprehensive analysis of immune-related gene signature based on ssGSEA algorithms in the prognosis and immune landscape of hepatocellular carcinoma.ZIP by Liangliang Wang (580395)

“…We assessed the immune cell infiltration in each HCC specimen using single sample gene set enrichment analysis (ssGSEA) and classified all patients with HCC into high- and low-immune clusters using a hierarchical clustering algorithm. …”

Table 1_Identification of immunogenic cell death signature genes in hepatocellular carcinoma: from single-cell transcriptomics to in vitro mechanistic validation and comprehensive... by Hongliang Liu (188124)

“…We identified HCC-specific ICD-related (HCC-ICDR) genes via WGCNA and optimized a prognostic model by benchmarking machine learning algorithms. …”

Distribution of SNPs and their frequencies based on mutation classes. by Sadia Afrin Runa (22504971)

Data Sheet 1_Identification of immunogenic cell death signature genes in hepatocellular carcinoma: from single-cell transcriptomics to in vitro mechanistic validation and comprehen... by Hongliang Liu (188124)

“…We identified HCC-specific ICD-related (HCC-ICDR) genes via WGCNA and optimized a prognostic model by benchmarking machine learning algorithms. …”

Four active modules obtained by applying MOGAMUN on different FSHD1 expression datasets. by Elva María Novoa-del-Toro (11356147)

Representative flux distribution for aerobic growth on (A) glucose, (B) pyruvate, (C) succinate, (D) L-lactate, (E) glycerol, and (F) L-glutamate for optimal growth with maximum al... by Evangelia Vayena (20861768)