Baum_et_al_2019_Supplementary_Figures.pdf: Supplementary Figures S1 and S2. Legends are included under each figure. sbm-for-correlation-based-networks-master.zip: Archived source code of R and Python functions for the analyses and example workflow description at time of publication. Files are maintained at https://gitlab.com/biomodlih/sbm-for-correlation-based-networks and https://gitlab.com/kabaum/sbm-for-correlation-based-networks
Correlation networks are emerging as a powerful tool for modeling temporal mechanisms within the cel...
The number of studies with information at multiple biological levels of granularity, such as genomic...
Motivation: One of the present challenges in biological research is the organization of the data ori...
Baum_et_al_2019_Supplementary_Figures.pdf: Supplementary Figures S1-S4. Legends are included under e...
A goal of systems biology is to build a concrete biochemical network map, which provides an importan...
Networks represent now an important part of post‐genomic data. This gives rise to a wide variety o...
Summarization: Biological networks are often described as probabilistic graphs in the context of gen...
In this project, I investigate and define the range of acceptable outputs of a gene expression corre...
The ability to model intragenic relationships using networks has allowed for the interpretation of c...
AbstractLarge-scale “omics” data, such as microarrays, can be used to infer underlying cellular regu...
Motivation: Accurate, context specific regulation of gene expression is essential for all organisms....
BACKGROUND: Many aspects of biological functions can be modeled by biological networks, such as prot...
In the last decade vast data sets are being generated in biological and medical studies. The challen...
Motivation: Metabolite profiling aims at an unbiased identification and quantification of all the me...
Biological networks play a paramount role in our understanding of complex biological phenomena, and ...
Correlation networks are emerging as a powerful tool for modeling temporal mechanisms within the cel...
The number of studies with information at multiple biological levels of granularity, such as genomic...
Motivation: One of the present challenges in biological research is the organization of the data ori...
Baum_et_al_2019_Supplementary_Figures.pdf: Supplementary Figures S1-S4. Legends are included under e...
A goal of systems biology is to build a concrete biochemical network map, which provides an importan...
Networks represent now an important part of post‐genomic data. This gives rise to a wide variety o...
Summarization: Biological networks are often described as probabilistic graphs in the context of gen...
In this project, I investigate and define the range of acceptable outputs of a gene expression corre...
The ability to model intragenic relationships using networks has allowed for the interpretation of c...
AbstractLarge-scale “omics” data, such as microarrays, can be used to infer underlying cellular regu...
Motivation: Accurate, context specific regulation of gene expression is essential for all organisms....
BACKGROUND: Many aspects of biological functions can be modeled by biological networks, such as prot...
In the last decade vast data sets are being generated in biological and medical studies. The challen...
Motivation: Metabolite profiling aims at an unbiased identification and quantification of all the me...
Biological networks play a paramount role in our understanding of complex biological phenomena, and ...
Correlation networks are emerging as a powerful tool for modeling temporal mechanisms within the cel...
The number of studies with information at multiple biological levels of granularity, such as genomic...
Motivation: One of the present challenges in biological research is the organization of the data ori...