Results 221-230 of about 359
- Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO new windowFactor analysis is a widely used method for dimensionality reduction in genome biology, with applications from personalized health to single-cell biology. Existing factor analysis models assume independence of the observed samples, an assumption that
Date: (2022) Authors: Britta Velten , Jana M. Braunger , Ricard Argelaguet , Damien Arnol ... Oliver Stegle - Sprod for de-noising spatially resolved transcriptomics data based on position and image information new windowSpatially resolved transcriptomics (SRT) provide gene expression close to, or even superior to, single-cell resolution while retaining the physical locations of sequencing and often also providing matched pathology images. However, SRT expression
Date: (2022) Authors: Yunguan Wang , Bing Song , Shidan Wang , Mingyi Chen ... Tao Wang - Spatial omics data are advancing the study of tissue organization and cellular communication at an unprecedented scale. Flexible tools are required to store, integrate and visualize the large diversity of spatial omics data. Here, we present Squidpy,
Date: (2022) Authors: Giovanni Palla , Hannah Spitzer , Michal Klein , David Fischer ... Fabian J. Theis - Linking Central Gene Expression Patterns and Mental States Using Transcriptomics and Large-Scale Meta-Analysis of fMRI D... new windowThe measurement of gene expression levels in the human brain can help accelerate our understanding of complex mental states and psychiatric illnesses. Mental states are typically associated with whole-brain networks; however, gene expression levels
Date: (2022) Authors: Jaroslav Rokicki , Daniel S. Quintana , Lars T. Westlye Ref: Oxytocin Date: (2022) - Fluorescent in-situ hybridization (FISH)-based methods extract spatially resolved genetic and epigenetic information from biological samples by detecting fluorescent spots in microscopy images, an often challenging task. We present Radial
Date: (2022) Authors: Ella Bahry , Laura Breimann , Marwan Zouinkhi , Leo Epstein ... Stephan Preibisch - Multiplexed imaging and spatialtranscriptomics enable highly resolved spatial characterization of cellular phenotypes, but still largely depend on laborious manual annotation to understand higher-order patterns of tissue organization. As a resul
Date: (2022) Authors: Junbum Kim , Samir Rustam , Juan Miguel Mosquera , Scott H. Randell ... Olivier Elemento - RNA labeling in situ has enormous potential to visualize transcripts and quantify their levels in single cells, but it remains challenging to produce high levels of signal while also enabling multiplexed detection of multiple RNA species
Date: (2022) Authors: Ian Dardani , Benjamin L. Emert , Yogesh Goyal , Connie L. Jiang ... Arjun Raj - Design Principles and Analysis Guidelines for Understanding Time-of-Day Effects in the Brain new windowCircadian omics analysis is powerful to understand how daily rhythms regulate physiology and how these rhythms are altered under disease conditions. Circadian disruption is known to cause several neurological disorders such as irregular sleep
Date: (2022) Authors: Shaunak Deota , Hugo Calligaro , Satchidananda Panda Ref: Circadian Clocks - Single-cell multiomics approaches have the potential to maximize the scientific impact on crop improvement. These technologies have become increasingly possible to perform simultaneous profiling of genome, epigenome, transcriptomics, translatome,
Date: (2022) Authors: Upasna Srivastava , Satendra Singh Ref: Genomics of Cereal Crops