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Batch effect is a frequent challenge in deep sequencing data analysis that can lead to misleading conclusions. Existing methods do not correct batch effects satisfactorily, especially with single cell RNA sequencing (RNA-seq) data.
This article was published in the following journal.
Name: Bioinformatics (Oxford, England)
Normalisation of single cell RNA sequencing (scRNA-seq) data is a prerequisite to their interpretation. The marked technical variability, high amounts of missing observations and batch effect typical ...
Optical imaging systems use a light source that illuminates a sample and a photodetector that detects light reflected from or transmitted through the sample. The sample surface curvature, surface-to-c...
Using a continuous exposure variable that is measured with random error in a univariable linear regression model leads to regression dilution bias: the observed association between the exposure and ou...
The methodology of transcriptome-wide association studies (TWAS) has become popular in integrating a reference expression quantitative trait (eQTL) data set with an independent main GWAS data set to i...
Recent reports have identified differences in the mutational spectra across human populations. While some of these reports have been replicated in other cohorts, most have been reported only in the 10...
To determine through a randomized clinical trial if wearing a moderate spectacle under-correction for a 6-month period will enhance emmetropization in highly hyperopic 3-month old infants ...
Each Sci-B-Vac™ lot to be released to the market is tested in comparison to a reference batch,which has to be tested in a human clinical trial. This study was conducted by SciVac Ltd. to...
The purpose of this study is to demonstrate that 3 different batches of Ad26.ZEBOV as prime and a single batch of MVA‐BN‐Filo as boost at a 56 day interval induce an equivalent humoral ...
This study evaluates three batches consistency, immunity duration and safety of inactivated Enterovirus 71(EV-A71) vaccine(vero cell) post-marketing among children aged 6-35months in China...
The aim of this pilot study is to assess the methodology, practical arrangements and pulmonary absorption with charcoal blockage for the future bioequivalence studies. In addition, PK of b...
Observation and aquisition of physical data from a distance by viewing and making measurements from a distance or receiving transmitted data from observations made at distant location.
The analysis of a chemical substance by inserting a sample into a carrier stream of reagent using a sample injection valve that propels the sample downstream where mixing occurs in a coiled tube, then passes into a flow-through detector and a recorder or other data handling device.
The statistical manipulation of hierarchically and non-hierarchically nested data. It includes clustered data, such as a sample of subjects within a group of schools. Prevalent in the social, behavioral sciences, and biomedical sciences, both linear and nonlinear regression models are applied.
Software used to locate data or information stored in machine-readable form locally or at a distance such as an INTERNET site.
Information application based on a variety of coding methods to minimize the amount of data to be stored, retrieved, or transmitted. Data compression can be applied to various forms of data, such as images and signals. It is used to reduce costs and increase efficiency in the maintenance of large volumes of data.
DNA sequencing is the process of determining the precise order of nucleotides within a DNA molecule. During DNA sequencing, the bases of a small fragment of DNA are sequentially identified from signals emitted as each fragment is re-synthesized from a ...