In this Commentary article, we explore the opportunity afforded by Sparsely Connected Autoencoders to transform data in a controlled way to enable the comprehension of hidden biological information in single-cell data. Autoencoders provide researchers with a simplified means of inspecting functional relationships among regulatory elements as transcription factors.
This Insight article explores some of the key applications of mass spectrometry imaging across the medical and pharmaceutical landscape. With the field seeing constant rapid development, mass spectrometry is an essential tool for current and future research in healthcare.
Miao-Ping Chien, Principal Investigator at Erasmus University Medical Center and Oncode Institute, explains what the Berlin meet has to offer and outlines her predictions for the future of spatial technology.
Long Read DNA Sequencing has the potential to help diagnose several diseases and disorders. Recent advancements mean that long-read sequencing is no longer an expensive, low throughput, error-prone process.
In this Insight article, we explore some of the challenges and new innovations concerning spatial analysis of the tumour microenvironment. One of the key focuses for ongoing studies is the retention of spatial information, which enables researchers to identify distinct tumour subtypes.
In this Discussion Group Report, we investigate some recent applications of long- and short-read sequencing technologies. Continued improvements and advancements in the field mean sequencing errors are increasingly a thing of the past, while the portability of some new units makes them ideal for work in the field.
Our April 2022 Omics Series discussion group focused on the potential and future of single-cell proteomics.
Edited by Oliver Picken |
25 May 2022
Single Cell Analysis
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