[HTML][HTML] Network medicine in the age of biomedical big data
Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
[HTML][HTML] Network enhancement as a general method to denoise weighted biological networks
Networks are ubiquitous in biology where they encode connectivity patterns at all scales of
organization, from molecular to the biome. However, biological networks are noisy due to …
organization, from molecular to the biome. However, biological networks are noisy due to …
Mathematical and computational techniques for drug discovery: promises and developments
K Balasubramanian - Current Topics in Medicinal Chemistry, 2018 - ingentaconnect.com
We review various mathematical and computational techniques for drug discovery
exemplifying some recent works pertinent to group theory of nested structures of relevance …
exemplifying some recent works pertinent to group theory of nested structures of relevance …
[HTML][HTML] Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA
Single-cell RNA sequencing provides high-throughput gene expression information to
explore cellular heterogeneity at the individual cell level. A major challenge in characterizing …
explore cellular heterogeneity at the individual cell level. A major challenge in characterizing …
DeepHomo2. 0: improved protein–protein contact prediction of homodimers by transformer-enhanced deep learning
Protein–protein interactions play an important role in many biological processes. However,
although structure prediction for monomer proteins has achieved great progress with the …
although structure prediction for monomer proteins has achieved great progress with the …
[HTML][HTML] Graphlet-based characterization of directed networks
We are flooded with large-scale, dynamic, directed, networked data. Analyses requiring
exact comparisons between networks are computationally intractable, so new …
exact comparisons between networks are computationally intractable, so new …
SANA: simulated annealing far outperforms many other search algorithms for biological network alignment
Every alignment algorithm consists of two orthogonal components: an objective function M
measuring the quality of an alignment, and a search algorithm that explores the space of …
measuring the quality of an alignment, and a search algorithm that explores the space of …
Network analytics in the age of big data
N Pržulj, N Malod-Dognin - Science, 2016 - science.org
We live in a complex world of interconnected entities. In all areas of human endeavor, from
biology to medicine, economics, and climate science, we are flooded with large-scale data …
biology to medicine, economics, and climate science, we are flooded with large-scale data …
Protein interaction networks: centrality, modularity, dynamics, and applications
In the post-genomic era, proteomics has achieved significant theoretical and practical
advances with the development of high-throughput technologies. Especially the rapid …
advances with the development of high-throughput technologies. Especially the rapid …
[HTML][HTML] Grasping frequent subgraph mining for bioinformatics applications
Searching for interesting common subgraphs in graph data is a well-studied problem in data
mining. Subgraph mining techniques focus on the discovery of patterns in graphs that exhibit …
mining. Subgraph mining techniques focus on the discovery of patterns in graphs that exhibit …