Results 81 to 90 of about 1,214,396 (338)
Stably expressed genes in single-cell RNA-sequencing [PDF]
Journal of Bioinformatics and Computational Biology, 2018 AbstractMotivationIn single-cell RNA-sequencing (scRNA-seq) experiments, RNA transcripts are extracted and measured from isolated cells to understand gene expression at the cellular level. Measurements from this technology are affected by many technical artifacts, including batch effects.
Deeke, Julie M. +1 more
openaire +2 more sources
bioRxiv, 2020 The new coronavirus (2019-nCoV) outbreak from December 2019 in Wuhan, Hubei, China, has been declared a global public health emergency. Angiotensin I converting enzyme 2 (ACE2), is the host receptor by 2019-nCov to infect human cells.
Furong Qi +3 more
semanticscholar +1 more source
Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods
Frontiers in Genetics, 2017 The sequencing of the transcriptomes of single-cells, or single-cell RNA-sequencing, has now become the dominant technology for the identification of novel cell types and for the study of stochastic gene expression.
Alessandra Dal Molin +2 more
doaj +1 more source
Inferring spatial and signaling relationships between cells from single cell transcriptomic data. [PDF]
, 2020 Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however, crucial spatial information is often lost. We present SpaOTsc, a method relying on structured optimal transport to recover spatial properties of scRNA-seq data by ...
Cang, Zixuan, Nie, Qing
core
An improved protocol for small RNA library construction using High Definition adapters [PDF]
, 2015 Next generation sequencing of small RNA (sRNA) libraries is widely used for studying sRNAs in various biological systems. However, cDNA libraries of sRNAs are biased for molecules that are ligated to adapters more or less efficiently than other molecules.
Aravin +28 more
core +1 more source
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
Genome Biology, 2016 Normalization of single-cell RNA sequencing data is necessary to eliminate cell-specific biases prior to downstream analyses. However, this is not straightforward for noisy single-cell data where many counts are zero.
Aaron T. L. Lun, K. Bach, J. Marioni
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Single-cell analysis of cardiogenesis reveals basis for organ-level developmental defects. [PDF]
, 2019 Organogenesis involves integration of diverse cell types; dysregulation of cell-type-specific gene networks results in birth defects, which affect 5% of live births.
de Soysa, T Yvanka +9 more
core
Comprehensive profiling of rhizome-associated alternative splicing and alternative polyadenylation in moso bamboo (Phyllostachys edulis). [PDF]
, 2017 Moso bamboo (Phyllostachys edulis) represents one of the fastest-spreading plants in the world, due in part to its well-developed rhizome system. However, the post-transcriptional mechanism for the development of the rhizome system in bamboo has not been
Cai, Dawei +8 more
core +1 more source
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Genome Biology, 2019 Single-cell transcriptomics is rapidly advancing our understanding of the cellular composition of complex tissues and organisms. A major limitation in most analysis pipelines is the reliance on manual annotations to determine cell identities, which are ...
T. Abdelaal +6 more
semanticscholar +1 more source