Biomolecular databases and subnetwork identification approaches of interest to big data community: an expert review
Next-generation sequencing approaches and genome-wide studies have become essential
for characterizing the mechanisms of human diseases. Consequently, many researchers …
for characterizing the mechanisms of human diseases. Consequently, many researchers …
Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models
F Martin, A Sewer, M Talikka, Y **ang, J Hoeng… - BMC …, 2014 - Springer
Background High-throughput measurement technologies such as microarrays provide
complex datasets reflecting mechanisms perturbed in an experiment, typically a treatment …
complex datasets reflecting mechanisms perturbed in an experiment, typically a treatment …
Analyzing of molecular networks for human diseases and drug discovery
T Hao, Q Wang, L Zhao, D Wu… - Current topics in …, 2018 - ingentaconnect.com
Molecular networks represent the interactions and relations of genes/proteins, and also
encode molecular mechanisms of biological processes, development and diseases. Among …
encode molecular mechanisms of biological processes, development and diseases. Among …
Optimally discriminative subnetwork markers predict response to chemotherapy
Motivation: Molecular profiles of tumour samples have been widely and successfully used
for classification problems. A number of algorithms have been proposed to predict classes of …
for classification problems. A number of algorithms have been proposed to predict classes of …
An integer linear programming approach for finding deregulated subgraphs in regulatory networks
Deregulation of cell signaling pathways plays a crucial role in the development of tumors.
The identification of such pathways requires effective analysis tools that facilitate the …
The identification of such pathways requires effective analysis tools that facilitate the …
Integrative biomarker detection on high-dimensional gene expression data sets: a survey on prior knowledge approaches
C Perscheid - Briefings in bioinformatics, 2021 - academic.oup.com
Gene expression data provide the expression levels of tens of thousands of genes from
several hundred samples. These data are analyzed to detect biomarkers that can be of …
several hundred samples. These data are analyzed to detect biomarkers that can be of …
A personalized committee classification approach to improving prediction of breast cancer metastasis
Motivation: Metastasis prediction is a well-known problem in breast cancer research. As
breast cancer is a complex and heterogeneous disease with many molecular subtypes …
breast cancer is a complex and heterogeneous disease with many molecular subtypes …
EgoNet: identification of human disease ego-network modules
Background Mining novel biomarkers from gene expression profiles for accurate disease
classification is challenging due to small sample size and high noise in gene expression …
classification is challenging due to small sample size and high noise in gene expression …
Network information improves cancer outcome prediction
Disease progression in cancer can vary substantially between patients. Yet, patients often
receive the same treatment. Recently, there has been much work on predicting disease …
receive the same treatment. Recently, there has been much work on predicting disease …
STRING PPI score to characterize protein subnetwork biomarkers for human diseases and pathways
P Timalsina, K Charles… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
Protein sub network biomarkers for 144 diseases and pathways are analyzed in terms of
protein-protein interaction (PPI) score available in STRING database. Most of the sub …
protein-protein interaction (PPI) score available in STRING database. Most of the sub …