Benchmarking algorithms for single-cell multi-omics prediction …
Sep 25, 2024 · Here, we present a benchmark study of 14 protein abundance/chromatin accessibility prediction algorithms and 18 single-cell multi-omics integration algorithms using …
Benchmarking algorithms for gene regulatory network inference …
Jan 6, 2020 · We present a systematic evaluation of state-of-the-art algorithms for inferring gene regulatory networks from single-cell transcriptional data. As the ground truth for assessing …
Benchmarking algorithms for joint integration of unpaired and …
Oct 24, 2023 · We benchmark nine existing single-cell multi-omic data integration methods. Specifically, we evaluate to what extent the multiome data provide additional guidance for …
Benchmarking algorithms for gene regulatory network inference …
We present a systematic evaluation of state-of-the-art algorithms for inferring gene regulatory networks (GRNs) from single-cell transcriptional data. As the ground truth for assessing …
Essential guidelines for computational method benchmarking
Jun 4, 2019 · Here, we summarize key practical guidelines and recommendations for performing high-quality benchmarking analyses, based on our experiences in computational biology. …
Benchmarking algorithms for pathway activity transformation of …
Jan 1, 2020 · Here, we collected seven widely-used pathway activity transformation algorithms and 32 available datasets based on 16 scRNA-seq techniques. We proposed a …
Systematic benchmarking of omics computational tools
Mar 27, 2019 · Adopting a standardized benchmarking practice could help researchers who use omics data to better leverage recent technological innovations. Our review summarizes …
Benchmarking Algorithms for Gene Set Scoring of Single-cell …
Feb 9, 2024 · Gene set scoring (GSS) has been routinely conducted for gene expression analysis of bulk or single-cell RNA sequencing (RNA-seq) data, which helps to decipher single-cell …
Benchmarking Theory - SpringerLink
Jun 12, 2022 · Understanding the reasons for benchmarking can guide and help users in the proper selection of the optimization problems, optimization algorithms, overall experimental …
Benchmarking evolutionary algorithms for single objective …
Feb 1, 2019 · By providing aggregated algorithm results for the complete benchmark collection as well as for predefined constrained function subgroups, the benchmark suite allows for …