Eleven grand challenges in single-cell data science
The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
Accurate single cell mutational profiles can reveal genomic cell-to-cell heterogeneity.
However, sequencing libraries suitable for genotyping require whole genome amplification …
However, sequencing libraries suitable for genotyping require whole genome amplification …
[HTML][HTML] CopyMix: mixture model based single-cell Clustering and Copy Number Profiling using Variational Inference
Investigating tumor heterogeneity using single-cell sequencing technologies is imperative to
understand how tumors evolve since each cell subpopulation harbors a unique set of …
understand how tumors evolve since each cell subpopulation harbors a unique set of …
Improved differential expression analysis of miRNA-seq data by modeling competition to be counted
MicroRNAs play a central role in regulating gene expression and modulating diseases.
Despite the importance of microRNAs, statistical methods for analyzing them have received …
Despite the importance of microRNAs, statistical methods for analyzing them have received …
ProSolo: Accurate variant calling from single cell DNA sequencing data
Obtaining accurate mutational profiles from single cell DNA is essential for the analysis of
genomic cell-to-cell heterogeneity at the finest level of resolution. However, sequencing …
genomic cell-to-cell heterogeneity at the finest level of resolution. However, sequencing …
Variational methods for phylogeny and single-cell genomics
H Koptagel - 2023 - diva-portal.org
The investigation of the evolutionary history of organisms, both at the cellular level and at the
species level, is a relevant research topic in computational biology. These investigations …
species level, is a relevant research topic in computational biology. These investigations …
Novel likelihood-based inference techniques for sequential data with medical and biological applications
N Safinianaini - 2022 - diva-portal.org
The probabilistic approach is crucial in modern machine learning, as it provides
transparency and quantification of uncertainty. This thesis is concerned with the probabilistic …
transparency and quantification of uncertainty. This thesis is concerned with the probabilistic …