Journal article Open Access

# COSIFER: a Python package for the consensus inference of molecular interaction networks

Manica, M.; Bunne, C.; Mathis, R.; Cadow, J.; Ahsen, M.; Stolovitzky; Martínez, M.

### Citation Style Language JSON Export

{
"DOI": "10.1093/bioinformatics/btaa942",
"container_title": "Bioinformatics",
"language": "eng",
"title": "COSIFER: a Python package for the consensus inference of molecular interaction networks",
"issued": {
"date-parts": [
[
2020,
11,
2
]
]
},
"abstract": "<p>The advent of high-throughput technologies has provided researchers with measurements of thousands of molecular entities and enable the investigation of the internal regulatory apparatus of the cell. However, network inference from high-throughput data is far from being a solved problem. While a plethora of different inference methods have been proposed, they often lead to non-overlapping predictions, and many of them lack user-friendly implementations to enable their broad utilization. Here, we present Consensus Interaction Network Inference Service (COSIFER), a package and a companion web-based platform to infer molecular networks from expression data using state-of-the-art consensus approaches. COSIFER includes a selection of state-of-the-art methodologies for network inference and different consensus strategies to integrate the predictions of individual methods and generate robust networks.<br>\n&nbsp;</p>",
"author": [
{
"family": "Manica, M."
},
{
"family": "Bunne, C."
},
{
"family": "Mathis, R."
},
{
},
{
"family": "Ahsen, M."
},
{
"family": "Stolovitzky"
},
{
"family": "Mart\u00ednez, M."
}
],
"type": "article-journal",
"id": "4748570"
}
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