Semisupervised Generative Autoencoder for Single-Cell Data.

07:00 EST 2nd December 2019 | BioPortfolio

Summary of "Semisupervised Generative Autoencoder for Single-Cell Data."

No Summary Available


Journal Details

This article was published in the following journal.

Name: Journal of computational biology : a journal of computational molecular cell biology
ISSN: 1557-8666


DeepDyve research library

PubMed Articles [32077 Associated PubMed Articles listed on BioPortfolio]

Data denoising with transfer learning in single-cell transcriptomics.

Single-cell RNA sequencing (scRNA-seq) data are noisy and sparse. Here, we show that transfer learning across datasets remarkably improves data quality. By coupling a deep autoencoder with a Bayesian ...

SCALE method for single-cell ATAC-seq analysis via latent feature extraction.

Single-cell ATAC-seq (scATAC-seq) profiles the chromatin accessibility landscape at single cell level, thus revealing cell-to-cell variability in gene regulation. However, the high dimensionality and...

SingleCellNet: A Computational Tool to Classify Single Cell RNA-Seq Data Across Platforms and Across Species.

Single-cell RNA-seq has emerged as a powerful tool in diverse applications, from determining the cell-type composition of tissues to uncovering regulators of developmental programs. A near-universal s...

Prediction of Mutation Effects using a Deep Temporal Convolutional Network.

Accurate prediction of the effects of genetic variation is a major goal in biological research. Towards this goal, numerous machine learning models have been developed to learn information from evolut...

SINC: a scale-invariant deep-neural-network classifier for bulk and single-cell RNA-seq data.

Scaling by sequencing depth is usually the first step of analysis of bulk or single-cell RNA-seq data, but estimating sequencing depth accurately can be difficult, especially for single-cell data, ris...

Clinical Trials [14080 Associated Clinical Trials listed on BioPortfolio]

Building Sentences With Preschoolers Who Use AAC

The focus of this investigation is to compare the effectiveness of the AAC Generative Language Intervention approach to an AAC Standard of Care condition on preschool sentence productions....

Neutropenic Sepsis in Patients With Non-Small Cell Lung Cancer Treated With Single-Agent Docetaxel and Associated Resource Use in the UK

This is a multi-center retrospective observational research study collecting data for participants initiated on docetaxel for the treatment of relapsed non-small cell lung cancer (NSCLC) u...

Emergence of Generative Language

The purpose of this study is to investigate the effects of several applied behavior teaching procedures on the use of multi-word utterances by children with autism.

Combinatorial Single Cell Strategies for a Crohn's Disease Gut Cell Atlas

Inflammatory bowel disease (IBD), consisting of two major forms, Crohn's disease (CD) and ulcerative colitis, affects more than 1.6 million people in the United States alone. Despite curre...

Intercontinental Cooperative Non-Hodgkin T-cell Lymphoma Prospective Registry Study

The better understanding of non-Hodgkin T-cell lymphoma is essential for establishing effective treatment strategy for non-Hodgkin T-cell lymphoma. Therefore, the data about conical featur...

Medical and Biotech [MESH] Definitions

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.

Various units or machines that operate in combination or in conjunction with a computer but are not physically part of it. Peripheral devices typically display computer data, store data from the computer and return the data to the computer on demand, prepare data for human use, or acquire data from a source and convert it to a form usable by a computer. (Computer Dictionary, 4th ed.)

A genotoxicological technique for measuring DNA damage in an individual cell using single-cell gel electrophoresis. Cell DNA fragments assume a "comet with tail" formation on electrophoresis and are detected with an image analysis system. Alkaline assay conditions facilitate sensitive detection of single-strand damage.

The science and art of collecting, summarizing, and analyzing data that are subject to random variation. The term is also applied to the data themselves and to the summarization of the data.

Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.

Quick Search

DeepDyve research library

Searches Linking to this Article