Results 1 to 10 of about 33,209,807 (322)

Virtual tissue expression analysis. [PDF]

Bioinformatics, 2023
Abstract Motivation Bulk RNA expression data are widely accessible, whereas single-cell data are relatively scarce in comparison. However, single-cell data offer profound insights into the cellular composition of tissues and cell type-specific gene regulation, both of which remain hidden in bulk ...
Simeth J, Hüttl P, Schön M, Nozari Z, Huttner M, Schmidt T, Altenbuchinger M, Spang R.   +7 more
europepmc   +4 more sources

Differential expression analysis for sequence count data [PDF]

Genome Biology, 2010
*Motivation:* High-throughput nucleotide sequencing provides quantitative readouts in assays for RNA expression (RNA-Seq), protein-DNA binding (ChIP-Seq) or cell counting (barcode sequencing).
A Agresti, A Mortazavi, AC Cameron, AM Smith, AS Morrissy, B Langmead, C Loader, CI Bliss, DD Licatalosi, G Robertson, GK Smyth, GK Smyth, I Lönnstedt, J Bullard, JC Marioni, JF Lawless, JS Bloom, K Saha, L Wang, L Whitaker, M Kasowski, MD Robinson, MD Robinson, MD Robinson, MD Robinson, P Engström, P McCullagh, RC Gentleman, Simon Anders, SJ Clark, U Nagalakshmi, Wolfgang Huber, Y Benjamini   +32 more
core   +4 more sources

Expression Analysis System

International Journal of Engineering and Advanced Technology, 2021
Expression is the most basic personality trait of an individual. Expressions, ubiquitous to humans from all cultures, can be pivotal in analyzing the personality which is not confined to boundaries. Analyzing the changes in the expression of the individual can bolster the process of deriving his/her personality traits underscoring the paramount ...
Riya Kalburgi, Punit Solanki, Rounak Suthar, Saurabh Suman   +3 more
openaire   +4 more sources

Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Unlike the conventional facial expressions, micro-expressions are involuntary and transient facial expressions capable of revealing the genuine emotions that people attempt to hide.
Xianye Ben, Yi Ren, Junping Zhang, Su-Jing Wang, K. Kpalma, W. Meng, Yong-jin Liu   +6 more
semanticscholar   +1 more source

Pathway expression analysis

Scientific Reports, 2022
AbstractThis paper introduces a pathway expression framework as an approach for constructing derived biomarkers. The pathway expression framework incorporates the biological connections of genes leading to a biologically relevant model. Using this framework, we distinguish between shedding subjects post-infection and all subjects pre-infection in human
Nathan Mankovich, Eric Kehoe, Amy Peterson, Michael Kirby   +3 more
openaire   +3 more sources

Identification of Suitable Housekeeping Genes for Quantitative Gene Expression Analysis During Retinoic Acid-induced Differentiation of Embryonal Carcinoma NCCIT Cells [PDF]

Journal of Cell and Molecular Research, 2021
Real-time quantitative PCR (qRT-PCR) is often used as an effective experimental method for analyzing gene expression. In this method, normalization of target gene expression levels must be performed using housekeeping genes (HKGs).
Sara Soltanian, Mahboubeh Sheikhbahaei
doaj   +1 more source

Characterization of RNA in exosomes secreted by human breast cancer cell lines using next-generation sequencing [PDF]

PeerJ, 2013
Exosomes are nanosized (30–100 nm) membrane vesicles secreted by most cell types. Exosomes have been found to contain various RNA species including miRNA, mRNA and long non-protein coding RNAs. A number of cancer cells produce elevated levels of exosomes.
Piroon Jenjaroenpun, Yuliya Kremenska, Vrundha M. Nair, Maksym Kremenskoy, Baby Joseph, Igor V. Kurochkin   +5 more
doaj   +2 more sources

PyDESeq2: a python package for bulk RNA-seq differential expression analysis

bioRxiv, 2022
Summary We present PyDESeq2, a python implementation of the DESeq2 workflow for differential expression analysis on bulk RNA-seq data. This implementation achieves better precision, allows speed improvements on large datasets, as shown in experiments on ...
Boris Muzellec, Maria Teleńczuk, Vincent Cabeli, M. Andreux   +3 more
semanticscholar   +1 more source

BRMS1 in Gliomas—An Expression Analysis

Cancers, 2023
The metastatic suppressor BRMS1 interacts with critical steps of the metastatic cascade in many cancer entities. As gliomas rarely metastasize, BRMS1 has mainly been neglected in glioma research. However, its interaction partners, such as NFκB, VEGF, or MMPs, are old acquaintances in neurooncology.
Jonas Feldheim, Almuth F. Kessler, Julia J. Feldheim, Dominik Schmitt, Christoph Oster, Lazaros Lazaridis, Martin Glas, Ralf-Ingo Ernestus, Camelia M. Monoranu, Mario Löhr, Carsten Hagemann   +10 more
openaire   +4 more sources

Best practices on the differential expression analysis of multi-species RNA-seq

Genome Biology, 2021
Advances in transcriptome sequencing allow for simultaneous interrogation of differentially expressed genes from multiple species originating from a single RNA sample, termed dual or multi-species transcriptomics.
M. Chung, V. Bruno, D. Rasko, Christina A. Cuomo, J. Muñoz, J. Livny, A. Shetty, A. Mahurkar, Julie C. Dunning Hotopp   +8 more
semanticscholar   +1 more source