相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A Consensus Molecular Classification of Muscle-invasive Bladder Cancer
Aurelie Kamoun et al.
EUROPEAN UROLOGY (2020)
ColoType: a forty gene signature for consensus molecular subtyping of colorectal cancer tumors using whole-genome assay or targeted RNA-sequencing
Steven A. Buechler et al.
SCIENTIFIC REPORTS (2020)
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
Hoa Thi Nhu Tran et al.
GENOME BIOLOGY (2020)
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
Brian Hie et al.
NATURE BIOTECHNOLOGY (2019)
scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets
Yingxin Lin et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Comprehensive Integration of Single-Cell Data
Tim Stuart et al.
CELL (2019)
scGen predicts single-cell perturbation responses
Mohammad Lotfollahi et al.
NATURE METHODS (2019)
Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky et al.
NATURE METHODS (2019)
Gene expression profiling of 1200 pancreatic ductal adenocarcinoma reveals novel subtypes
Lan Zhao et al.
BMC CANCER (2018)
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
Katherine A. Hoadley et al.
CELL (2018)
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
Laleh Haghverdi et al.
NATURE BIOTECHNOLOGY (2018)
Genomic analyses identify molecular subtypes of pancreatic cancer
Peter Bailey et al.
NATURE (2016)
The consensus molecular subtypes of colorectal cancer
Justin Guinney et al.
NATURE MEDICINE (2015)
limma powers differential expression analyses for RNA-sequencing and microarray studies
Matthew E. Ritchie et al.
NUCLEIC ACIDS RESEARCH (2015)
The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine
Lao H. Saal et al.
GENOME MEDICINE (2015)
Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin
Katherine A. Hoadley et al.
CELL (2014)
svaseq: removing batch effects and other unwanted noise from sequencing data
Jeffrey T. Leek
NUCLEIC ACIDS RESEARCH (2014)
PAM50 assay and the three-gene model for identifying the major and clinically relevant molecular subtypes of breast cancer
A. Prat et al.
BREAST CANCER RESEARCH AND TREATMENT (2012)
Tackling the widespread and critical impact of batch effects in high-throughput data
Jeffrey T. Leek et al.
NATURE REVIEWS GENETICS (2010)
Metastasis-Associated Gene Expression Changes Predict Poor Outcomes in Patients with Dukes Stage B and C Colorectal Cancer
Robert N. Jorissen et al.
CLINICAL CANCER RESEARCH (2009)
Adjusting batch effects in microarray expression data using empirical Bayes methods
W. Evan Johnson et al.
BIOSTATISTICS (2007)
分享论文
