Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,271,131 papers from all fields of science
Search
Sign In
Create Free Account
Genotype-Tissue Expression Program
Known as:
GTEx
, Genotype-Tissue Expression
A program sponsored by the National Institutes of Health's Common Fund, designed to provide insights into the mechanisms of gene regulation by…
Expand
National Institutes of Health
Create Alert
Alert
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2020
Highly Cited
2020
Novel Immune-Related Gene Signature for Risk Stratification and Prognosis of Survival in Lower-Grade Glioma
Mingwei Zhang
,
Xuezhen Wang
,
Xiaoping Chen
,
Qiuyu Zhang
,
Jinsheng Hong
Frontiers in Genetics
2020
Corpus ID: 215756339
Objective Despite several clinicopathological factors being integrated as prognostic biomarkers, the individual variants and risk…
Expand
2020
2020
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data
Aaron M. Smith
,
J. Walsh
,
+9 authors
Charles K. Fisher
BMC Bioinformatics
2020
Corpus ID: 213194190
The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet…
Expand
Review
2018
Review
2018
Transposable elements generate regulatory novelty in a tissue-specific fashion
M. Trizzino
,
A. Kapusta
,
Christopher D. Brown
BMC Genomics
2018
Corpus ID: 49301584
Transposable elements (TE) are an important source of evolutionary novelty in gene regulation. However, the mechanisms by which…
Expand
Highly Cited
2017
Highly Cited
2017
Systematic analysis of gene expression patterns associated with postmortem interval in human tissues
Yizhang Zhu
,
Likun Wang
,
Yuxin Yin
,
E. Yang
Scientific Reports
2017
Corpus ID: 3307382
Postmortem mRNA degradation is considered to be the major concern in gene expression research utilizing human postmortem tissues…
Expand
2017
2017
Improving the value of public RNA-seq expression data by phenotype prediction
Shannon E. Ellis
,
L. Collado-Torres
,
A. Jaffe
,
J. Leek
bioRxiv
2017
Corpus ID: 3777312
Background Publicly available genomic data are a valuable resource for studying normal human variation and disease, but these…
Expand
2017
2017
recount workflow: Accessing over 70,000 human RNA-seq samples with Bioconductor
L. Collado-Torres
,
Abhinav Nellore
,
A. Jaffe
F1000Research
2017
Corpus ID: 33574861
The recount2 resource is composed of over 70,000 uniformly processed human RNA-seq samples spanning TCGA and SRA, including GTEx…
Expand
Highly Cited
2016
Highly Cited
2016
Corrigendum: Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases
Jialiang Yang
,
Tao Huang
,
+132 authors
N. Lockhart
Scientific Reports
2016
Corpus ID: 205685104
Aging is one of the most important biological processes and is a known risk factor for many age-related diseases in human…
Expand
Highly Cited
2016
Highly Cited
2016
Genome-wide association study of antisocial personality disorder
M. Rautiainen
,
T. Paunio
,
+9 authors
J. Tiihonen
Translational Psychiatry
2016
Corpus ID: 25899493
The pathophysiology of antisocial personality disorder (ASPD) remains unclear. Although the most consistent biological finding is…
Expand
Highly Cited
2015
Highly Cited
2015
Assessing allele-specific expression across multiple tissues from RNA-seq read data
M. Pirinen
,
T. Lappalainen
,
+4 authors
M. Rivas
Bioinform.
2015
Corpus ID: 764075
MOTIVATION RNA sequencing enables allele-specific expression (ASE) studies that complement standard genotype expression studies…
Expand
Review
2014
Review
2014
Vitamin D and the RNA transcriptome: more than mRNA regulation
M. Campbell
Frontiers in Physiology
2014
Corpus ID: 14098595
The GRCh37.p13 primary assembly of the human genome contains 20805 protein coding mRNA, and 37147 non-protein coding genes and…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE