Challenges of big data analysis
Big Data bring new opportunities to modern society and challenges to data scientists. On the
one hand, Big Data hold great promises for discovering subtle population patterns and …
one hand, Big Data hold great promises for discovering subtle population patterns and …
Cancer transcriptome profiling at the juncture of clinical translation
M Cieślik, AM Chinnaiyan - Nature Reviews Genetics, 2018 - nature.com
Methodological breakthroughs over the past four decades have repeatedly revolutionized
transcriptome profiling. Using RNA sequencing (RNA-seq), it has now become possible to …
transcriptome profiling. Using RNA sequencing (RNA-seq), it has now become possible to …
ArrayExpress update–from bulk to single-cell expression data
Abstract ArrayExpress (https://www. ebi. ac. uk/arrayexpress) is an archive of functional
genomics data from a variety of technologies assaying functional modalities of a genome …
genomics data from a variety of technologies assaying functional modalities of a genome …
A genome-wide transcriptomic analysis of protein-coding genes in human blood cells
INTRODUCTION Blood is the predominant source for molecular analyses in humans, both in
clinical and research settings, and is the target for many therapeutic strategies, emphasizing …
clinical and research settings, and is the target for many therapeutic strategies, emphasizing …
Random forest versus logistic regression: a large-scale benchmark experiment
Abstract Background and goal The Random Forest (RF) algorithm for regression and
classification has considerably gained popularity since its introduction in 2001. Meanwhile, it …
classification has considerably gained popularity since its introduction in 2001. Meanwhile, it …
Massive mining of publicly available RNA-seq data from human and mouse
RNA sequencing (RNA-seq) is the leading technology for genome-wide transcript
quantification. However, publicly available RNA-seq data is currently provided mostly in raw …
quantification. However, publicly available RNA-seq data is currently provided mostly in raw …
ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap
Abstract The Principal Component Analysis (PCA) is a widely used method of reducing the
dimensionality of high-dimensional data, often followed by visualizing two of the …
dimensionality of high-dimensional data, often followed by visualizing two of the …
Tissue-based map of the human proteome
INTRODUCTION Resolving the molecular details of proteome variation in the different
tissues and organs of the human body would greatly increase our knowledge of human …
tissues and organs of the human body would greatly increase our knowledge of human …
Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics
Global classification of the human proteins with regards to spatial expression patterns
across organs and tissues is important for studies of human biology and disease. Here, we …
across organs and tissues is important for studies of human biology and disease. Here, we …
Standardization of sample collection, isolation and analysis methods in extracellular vesicle research
The emergence of publications on extracellular RNA (exRNA) and extracellular vesicles
(EV) has highlighted the potential of these molecules and vehicles as biomarkers of disease …
(EV) has highlighted the potential of these molecules and vehicles as biomarkers of disease …