ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data

Keyphrases

• Clustering Algorithm 100%
• Single-cell RNA-seq Data 100%
• Dropout Events 100%
• Consensus Clustering 100%
• Single-cell RNA Sequencing (scRNA-seq) 66%
• Downstream Analysis 66%
• Low Expression 66%
• Lowly Expressed Genes 66%
• Expression Level 33%
• Performance Characteristics 33%
• Granularity 33%
• MRNA Expression 33%
• Transcriptome 33%
• Processing Speed 33%
• Protein Synthesis 33%
• Dropout 33%
• Most Probable 33%
• Disease States 33%
• Cell Samples 33%
• Single-cell RNA Sequencing Data 33%
• Imputation Approach 33%
• Expression Counts 33%
• Cell Identity 33%
• M Gene 33%
• Treatment Protocol 33%
• Effective Algorithm 33%
• Cluster Performance 33%
• N-matrix 33%
• N-cell 33%
• New Similarity Measure 33%
• Cell Wall Proteins 33%

Computer Science

• Granularity 100%
• Efficient Algorithm 100%
• Performance Characteristic 100%
• Processing Speed 100%
• Expression Level 100%

Biochemistry, Genetics and Molecular Biology

• RNA Sequence 100%
• RNA Sequencing 100%
• Consensus Clustering 100%
• Protein Biosynthesis 33%
• Similarity Measure 33%
• Messenger RNA 33%
• Processing Speed 33%
• Transcriptome 33%