Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
Motivation Single cell RNA-seq (scRNA-seq) data contains a wealth of information which
has to be inferred computationally from the observed sequencing reads. As the ability to …
has to be inferred computationally from the observed sequencing reads. As the ability to …
[HTML][HTML] Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
S Mukherjee, Y Zhang, J Fan, G Seelig, S Kannan - Bioinformatics, 2018 - ncbi.nlm.nih.gov
Results We find that preprocessing using UNCURL consistently improves performance of
commonly used scRNA-seq tools for clustering, visualization and lineage estimation, both in …
commonly used scRNA-seq tools for clustering, visualization and lineage estimation, both in …
[PDF][PDF] Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
S Mukherjee, Y Zhang, J Fan, G Seelig, S Kannan - scholar.archive.org
Motivation: Single cell RNA-seq (scRNA-seq) data contains a wealth of information which
has to be inferred computationally from the observed sequencing reads. As the ability to …
has to be inferred computationally from the observed sequencing reads. As the ability to …
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.
S Mukherjee, Y Zhang, J Fan, G Seelig… - …, 2018 - search.ebscohost.com
Motivation: Single cell RNA-seq (scRNA-seq) data contains a wealth of information which
has to be inferred computationally from the observed sequencing reads. As the ability to …
has to be inferred computationally from the observed sequencing reads. As the ability to …
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
S Mukherjee, Y Zhang, J Fan, G Seelig, S Kannan - bioRxiv, 2017 - biorxiv.org
Motivation Single cell RNA-seq (scRNA-seq) data contains a wealth of information which
has to be inferred computationally from the observed sequencing reads. As the ability to …
has to be inferred computationally from the observed sequencing reads. As the ability to …
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
S Mukherjee, Y Zhang, J Fan… - Bioinformatics …, 2018 - pubmed.ncbi.nlm.nih.gov
Motivation Single cell RNA-seq (scRNA-seq) data contains a wealth of information which
has to be inferred computationally from the observed sequencing reads. As the ability to …
has to be inferred computationally from the observed sequencing reads. As the ability to …
[PDF][PDF] Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
S Mukherjee, Y Zhang, J Fan, G Seelig… - …, 2018 - joshuafan.github.io
Motivation: Single cell RNA-seq (scRNA-seq) data contains a wealth of information which
has to be inferred computationally from the observed sequencing reads. As the ability to …
has to be inferred computationally from the observed sequencing reads. As the ability to …
[PDF][PDF] Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
S Mukherjee, Y Zhang, J Fan, G Seelig, S Kannan - Bioinformatics, 2018 - par.nsf.gov
Motivation: Single cell RNA-seq (scRNA-seq) data contains a wealth of information which
has to be inferred computationally from the observed sequencing reads. As the ability to …
has to be inferred computationally from the observed sequencing reads. As the ability to …
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.
S Mukherjee, Y Zhang, J Fan, G Seelig… - Bioinformatics (Oxford …, 2018 - europepmc.org
Results We find that preprocessing using UNCURL consistently improves performance of
commonly used scRNA-seq tools for clustering, visualization and lineage estimation, both in …
commonly used scRNA-seq tools for clustering, visualization and lineage estimation, both in …
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
S Mukherjee, Y Zhang, J Fan, G Seelig, S Kannan - Bioinformatics, 2018 - par.nsf.gov
MotivationSingle cell RNA-seq (scRNA-seq) data contains a wealth of information which has
to be inferred computationally from the observed sequencing reads. As the ability to …
to be inferred computationally from the observed sequencing reads. As the ability to …