<p>RNA CoMPASS was deployed on a local cluster and benchmarking was performed. An Akata RNA-seq data set was split into six files of varying sizes: 1–393.4 MB, 1,397,139 reads, 2–757 MB, 2,685,149 reads, 3–1.44 GB, 5,120,805 reads, 4–2.72 GB, 9,651,466 reads, 5–5.01 GB, 25,465,406 reads, sample 6–8.99 GB, 50,930,812 reads. Overall time was calculated for each file on a single machine (blue column) and on the local 4-node cluster (red column). Speedup time is represented as a green line.</p
a. NMI scores of AttentionAE-sc and 9 baseline methods. b. Silhouette scores of 6 community detectio...
<p>The memory usage for all tools is based on a single overlap threshold or <i>k-mer</i> and is eval...
The process by which DNA is transformed into gene products, such as RNA and proteins, is called gene...
Note: indexing file storage usage and run time for HISAT2 SNP and rPGA are estimated according to th...
RNA Sequencing (RNA-Seq) is the sequencing and analysis of transcriptomes. The main purpose of RNA-S...
As single-cell RNA sequencing techniques improve and more cells are measured in individual experimen...
<p>Classification performances (mRNA and miRNA): computational time (sec, execution time/number of s...
Obtaining RNA-seq measurements involves a complex data analytical process with a large number of com...
The rapid increase in the size of single-cell RNAseq datasets presents significant performance chall...
<p>Starting read counts: SRR772563 = 2,373,604 reads; SRR873410 = 33,233,648 reads; SRR9402445 = 15,...
Authors: Matthew Ritchie [1], Luyi Tian [1], Xueyi Dong [1], Saskia Freytag [1], Shian Su [1], Danie...
The emergence of personalized medicine requires being able to produce and process huge amounts of bi...
<p>Predictive performance of Compass and GeneMANIA, as measured by the area under the receiver opera...
###EgeUn###A number of specialized clustering methods have been developed so far for the accurate an...
<p>(A) Bacterial reads per human mapped reads. For insets, human and ribosomal reads are normalized ...
a. NMI scores of AttentionAE-sc and 9 baseline methods. b. Silhouette scores of 6 community detectio...
<p>The memory usage for all tools is based on a single overlap threshold or <i>k-mer</i> and is eval...
The process by which DNA is transformed into gene products, such as RNA and proteins, is called gene...
Note: indexing file storage usage and run time for HISAT2 SNP and rPGA are estimated according to th...
RNA Sequencing (RNA-Seq) is the sequencing and analysis of transcriptomes. The main purpose of RNA-S...
As single-cell RNA sequencing techniques improve and more cells are measured in individual experimen...
<p>Classification performances (mRNA and miRNA): computational time (sec, execution time/number of s...
Obtaining RNA-seq measurements involves a complex data analytical process with a large number of com...
The rapid increase in the size of single-cell RNAseq datasets presents significant performance chall...
<p>Starting read counts: SRR772563 = 2,373,604 reads; SRR873410 = 33,233,648 reads; SRR9402445 = 15,...
Authors: Matthew Ritchie [1], Luyi Tian [1], Xueyi Dong [1], Saskia Freytag [1], Shian Su [1], Danie...
The emergence of personalized medicine requires being able to produce and process huge amounts of bi...
<p>Predictive performance of Compass and GeneMANIA, as measured by the area under the receiver opera...
###EgeUn###A number of specialized clustering methods have been developed so far for the accurate an...
<p>(A) Bacterial reads per human mapped reads. For insets, human and ribosomal reads are normalized ...
a. NMI scores of AttentionAE-sc and 9 baseline methods. b. Silhouette scores of 6 community detectio...
<p>The memory usage for all tools is based on a single overlap threshold or <i>k-mer</i> and is eval...
The process by which DNA is transformed into gene products, such as RNA and proteins, is called gene...