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Review of causal discovery methods based on graphical models
A fundamental task in various disciplines of science, including biology, is to find underlying
causal relations and make use of them. Causal relations can be seen if interventions are …
causal relations and make use of them. Causal relations can be seen if interventions are …
Single-cell RNA sequencing technologies and bioinformatics pipelines
Rapid progress in the development of next-generation sequencing (NGS) technologies in
recent years has provided many valuable insights into complex biological systems, ranging …
recent years has provided many valuable insights into complex biological systems, ranging …
Terpene synthases as metabolic gatekeepers in the evolution of plant terpenoid chemical diversity
PS Karunanithi, P Zerbe - Frontiers in plant science, 2019 - frontiersin.org
Terpenoids comprise tens of thousands of small molecule natural products that are widely
distributed across all domains of life. Plants produce by far the largest array of terpenoids …
distributed across all domains of life. Plants produce by far the largest array of terpenoids …
Sparse and compositionally robust inference of microbial ecological networks
16S ribosomal RNA (rRNA) gene and other environmental sequencing techniques provide
snapshots of microbial communities, revealing phylogeny and the abundances of microbial …
snapshots of microbial communities, revealing phylogeny and the abundances of microbial …
Biosynthesis and biological functions of terpenoids in plants
D Tholl - Biotechnology of isoprenoids, 2015 - Springer
<? xm-replace_text {Heading}?> Abstract Terpenoids (isoprenoids) represent the largest
and most diverse class of chemicals among the myriad compounds produced by plants …
and most diverse class of chemicals among the myriad compounds produced by plants …
[KNIHA][B] Statistical foundations of data science
Statistical Foundations of Data Science gives a thorough introduction to commonly used
statistical models, contemporary statistical machine learning techniques and algorithms …
statistical models, contemporary statistical machine learning techniques and algorithms …
MissForest—non-parametric missing value imputation for mixed-type data
Motivation: Modern data acquisition based on high-throughput technology is often facing the
problem of missing data. Algorithms commonly used in the analysis of such large-scale data …
problem of missing data. Algorithms commonly used in the analysis of such large-scale data …
An overview of the estimation of large covariance and precision matrices
The estimation of large covariance and precision matrices is fundamental in modern
multivariate analysis. However, problems arise from the statistical analysis of large panel …
multivariate analysis. However, problems arise from the statistical analysis of large panel …
Network analysis of the MVA and MEP pathways for isoprenoid synthesis
E Vranová, D Coman, W Gruissem - Annual review of plant …, 2013 - annualreviews.org
Isoprenoid biosynthesis is essential for all living organisms, and isoprenoids are also of
industrial and agricultural interest. All isoprenoids are derived from prenyl diphosphate …
industrial and agricultural interest. All isoprenoids are derived from prenyl diphosphate …
[KNIHA][B] Statistical analysis of network data with R
ED Kolaczyk, G Csárdi - 2014 - Springer
Networks and network analysis are arguably one of the largest growth areas of the early
twenty-first century in the quantitative sciences. Despite roots in social network analysis …
twenty-first century in the quantitative sciences. Despite roots in social network analysis …