Related references
Note: Only part of the references are listed.Bayesian estimation of cell type-specific gene expression with prior derived from single-cell data
Jiebiao Wang et al.
GENOME RESEARCH (2021)
Using multiple measurements of tissue to estimate subject- and cell-type-specific gene expression
Jiebiao Wang et al.
BIOINFORMATICS (2020)
Whole-Genome and RNA Sequencing Reveal Variation and Transcriptomic Coordination in the Developing Human Prefrontal Cortex
Donna M. Werling et al.
CELL REPORTS (2020)
Single-cell transcriptomic analysis of Alzheimer's disease
Hansruedi Mathys et al.
NATURE (2019)
Determining cell type abundance and expression from bulk tissues with digital cytometry
Aaron M. Newman et al.
NATURE BIOTECHNOLOGY (2019)
Current best practices in single-cell RNA-seq analysis: a tutorial
Malte D. Luecken et al.
MOLECULAR SYSTEMS BIOLOGY (2019)
dtangle: accurate and robust cell type deconvolution
Gregory J. Hunt et al.
BIOINFORMATICS (2019)
Conserved brain myelination networks are altered in Alzheimer's and other neurodegenerative diseases
Mariet Allen et al.
ALZHEIMERS & DEMENTIA (2018)
Computational deconvolution of transcriptomics data from mixed cell populations
Francisco Avila Cobos et al.
BIOINFORMATICS (2018)
A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer's disease
Sara Mostafavi et al.
NATURE NEUROSCIENCE (2018)
A Selective Overview of Sparse Principal Component Analysis
Hui Zou et al.
PROCEEDINGS OF THE IEEE (2018)
Brain Cell Type Specific Gene Expression and Co-expression Network Architectures
Andrew T. McKenzie et al.
SCIENTIFIC REPORTS (2018)
Variation among intact tissue samples reveals the core transcriptional features of human CNS cell classes
Kevin W. Kelley et al.
NATURE NEUROSCIENCE (2018)
The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer's disease
Minghui Wang et al.
SCIENTIFIC DATA (2018)
A multi-omic atlas of the human frontal cortex for aging and Alzheimer's disease research
Philip L. De Jager et al.
SCIENTIFIC DATA (2018)
Integrative functional genomic analysis of human brain development and neuropsychiatric risks
Mingfeng Li et al.
SCIENCE (2018)
SC3: consensus clustering of single-cell RNA-seq data
Vladimir Yu Kiselev et al.
NATURE METHODS (2017)
A comprehensive transcriptional map of primate brain development
Trygve E. Bakken et al.
NATURE (2016)
Gene expression elucidates functional impact of polygenic risk for schizophrenia
Menachem Fromer et al.
NATURE NEUROSCIENCE (2016)
Analysis of Body-wide Unfractionated Tissue Data to Identify a Core Human Endothelial Transcriptome
Lynn Marie Butler et al.
CELL SYSTEMS (2016)
Human whole genome genotype and transcriptome data for Alzheimer's and other neurodegenerative diseases
Mariet Allen et al.
SCIENTIFIC DATA (2016)
Robust enumeration of cell subsets from tissue expression profiles
Aaron M. Newman et al.
NATURE METHODS (2015)
Canonical genetic signatures of the adult human brain
Michael Hawrylycz et al.
NATURE NEUROSCIENCE (2015)
A survey of human brain transcriptome diversity at the single cell level
Spyros Darmanis et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Amit Zeisel et al.
SCIENCE (2015)
Laminar and Temporal Expression Dynamics of Coding and Noncoding RNAs in the Mouse Neocortex
Sofia Fertuzinhos et al.
CELL REPORTS (2014)
CellMix: a comprehensive toolbox for gene expression deconvolution
Renaud Gaujoux et al.
BIOINFORMATICS (2013)
Digital sorting of complex tissues for cell type-specific gene expression profiles
Yi Zhong et al.
BMC BIOINFORMATICS (2013)
The microglial sensome revealed by direct RNA sequencing
Suzanne E. Hickman et al.
NATURE NEUROSCIENCE (2013)
Semi-supervised Nonnegative Matrix Factorization for gene expression deconvolution: A case study
Renaud Gaujoux et al.
INFECTION GENETICS AND EVOLUTION (2012)
Molecular Microcircuitry Underlies Functional Specification in a Basal Ganglia Circuit Dedicated to Vocal Learning
Austin T. Hilliard et al.
NEURON (2012)
Amygdala Transcriptome and Cellular Mechanisms Underlying Stress-Enhanced Fear Learning in a Rat Model of Posttraumatic Stress Disorder
Igor Ponomarev et al.
NEUROPSYCHOPHARMACOLOGY (2010)
PCA CONSISTENCY IN HIGH DIMENSION, LOW SAMPLE SIZE CONTEXT
Sungkyu Jung et al.
ANNALS OF STATISTICS (2009)
On Consistency and Sparsity for Principal Components Analysis in High Dimensions
Iain M. Johnstone et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2009)
Deconvolution of Blood Microarray Data Identifies Cellular Activation Patterns in Systemic Lupus Erythematosus
Alexander R. Abbas et al.
PLOS ONE (2009)
A transcriptome database for astrocytes, neurons, and oligodendrocytes: A new resource for understanding brain development and function
John D. Cahoy et al.
JOURNAL OF NEUROSCIENCE (2008)
Functional organization of the transcriptome in human brain
Michael C. Oldham et al.
NATURE NEUROSCIENCE (2008)
Sparse principal component analysis
Hui Zou et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2006)
A modified principal component technique based on the LASSO
IT Jolliffe et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2003)
Share Paper
