[HTML][HTML] SERGIO: a single-cell expression simulator guided by gene regulatory networks
P Dibaeinia, S Sinha - Cell systems, 2020 - cell.com
A common approach to benchmarking of single-cell transcriptomics tools is to generate
synthetic datasets that statistically resemble experimental data. However, most existing …
synthetic datasets that statistically resemble experimental data. However, most existing …
[引用][C] SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory Networks
P Dibaeinia, S Sinha - Cell Systems, 2020 - cir.nii.ac.jp
SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory Networks | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …
[HTML][HTML] SERGIO: a single-cell expression simulator guided by gene regulatory networks
P Dibaeinia, S Sinha - Cell systems, 2020 - ncbi.nlm.nih.gov
A common approach to benchmarking of single-cell transcriptomics tools is to generate
synthetic data sets that statistically resemble experimental data. However, most existing …
synthetic data sets that statistically resemble experimental data. However, most existing …
SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory Networks.
P Dibaeinia, S Sinha - Cell Systems, 2020 - europepmc.org
A common approach to benchmarking of single-cell transcriptomics tools is to generate
synthetic data sets that statistically resemble experimental data. However, most existing …
synthetic data sets that statistically resemble experimental data. However, most existing …
[PDF][PDF] A single-cell expression simulator guided by gene regulatory networks
P Dibaeinia, S Sinha - scholar.archive.org
A common approach to benchmarking of single-cell transcriptomics tools is to generate
synthetic data sets that resemble experimental data in their statistical properties. However …
synthetic data sets that resemble experimental data in their statistical properties. However …
SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory Networks
P Dibaeinia, S Sinha - Cell Systems, 2020 - experts.illinois.edu
We present SERGIO, a software tool that can simulate realistic single-cell transcriptomics
datasets based on a user-specified gene regulatory network (GRN). Datasets simulated …
datasets based on a user-specified gene regulatory network (GRN). Datasets simulated …
SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory Networks
P Dibaeinia, S Sinha - Cell systems, 2020 - pubmed.ncbi.nlm.nih.gov
A common approach to benchmarking of single-cell transcriptomics tools is to generate
synthetic datasets that statistically resemble experimental data. However, most existing …
synthetic datasets that statistically resemble experimental data. However, most existing …
[HTML][HTML] SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory Networks
P Dibaeinia, S Sinha - Cell Systems, 2020 - Elsevier
A common approach to benchmarking of single-cell transcriptomics tools is to generate
synthetic datasets that statistically resemble experimental data. However, most existing …
synthetic datasets that statistically resemble experimental data. However, most existing …
A single-cell expression simulator guided by gene regulatory networks
P Dibaeinia, S Sinha - bioRxiv, 2019 - biorxiv.org
A common approach to benchmarking of single-cell transcriptomics tools is to generate
synthetic data sets that resemble experimental data in their statistical properties. However …
synthetic data sets that resemble experimental data in their statistical properties. However …
A single-cell expression simulator guided by gene regulatory networks
P Dibaeinia, S Sinha - bioRxiv, 2019 - biorxiv.org
A common approach to benchmarking of single-cell transcriptomics tools is to generate
synthetic data sets that resemble experimental data in their statistical properties. However …
synthetic data sets that resemble experimental data in their statistical properties. However …