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CoExp Web, a web tool for the exploitation of co-expression networks

Garcia, S.; Gil, A. L.; Cisterna, A.; Jurado, F.; Reynolds, R. H.; North America Brain Expression Consortium (NABEC), ; Cookson, M. R.; Hardy, J.; Ryten, M.; Botia, J. A.

2020-06-29 bioinformatics
10.1101/2020.06.29.176057 bioRxiv
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SummaryThis paper presents the CoExp Web tool. CoExp is a software tool and a Web resource that fosters research on co-expression network models by providing a highly usable means to exploit and share multiple network models. Availability and Implementationthe Web resource is accessible at https://snca.atica.um.es/coexp/. The software at the front and back-ends is accessible at https://github.com/SoniaRuiz/CoExp_Web. Contactskgtsg0@ucl.ac.uk (Sonia Garcia-Ruiz)

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
BMC Bioinformatics
○ 457 papers in training set
Top 0.4%
12.9%
Similar papers in this journal
2
Bioinformatics Advances
◐ 203 papers in training set
Top 0.2%
9.8%
Similar papers in this journal
3
Bioinformatics
◐ 1204 papers in training set
Top 3%
7.3%
Similar papers in this journal
4
Frontiers in Neuroinformatics
○ 41 papers in training set
Top 0.1%
5.6%
Similar papers in this journal
5
SoftwareX
○ 15 papers in training set
Top 0.1%
5.5%
Similar papers in this journal
6
Neuroinformatics
○ 46 papers in training set
Top 0.1%
5.5%
7
PLOS ONE
● 5266 papers in training set
Top 27%
5.5%
50% of probability mass above
8
NAR Genomics and Bioinformatics
◐ 242 papers in training set
Top 1%
3.2%
9
F1000Research
○ 88 papers in training set
Top 0.6%
3.2%
10
Journal of Open Source Software
● 25 papers in training set
Top 0.1%
3.2%
11
Nature Protocols
○ 33 papers in training set
Top 0.2%
3.2%
12
Scientific Reports
○ 3612 papers in training set
Top 38%
2.6%
13
Computational and Structural Biotechnology Journal
● 242 papers in training set
Top 2%
2.4%
14
Nucleic Acids Research
◐ 1281 papers in training set
Top 7%
2.4%
15
PLOS Computational Biology
● 1863 papers in training set
Top 14%
1.7%
16
Biology
○ 45 papers in training set
Top 0.1%
1.7%
17
Frontiers in Genetics
○ 230 papers in training set
Top 3%
1.7%
18
GigaScience
◐ 212 papers in training set
Top 3%
1.5%
19
Briefings in Bioinformatics
◐ 354 papers in training set
Top 5%
1.3%
20
PeerJ
◐ 308 papers in training set
Top 7%
1.3%
21
Database
◐ 61 papers in training set
Top 0.6%
1.1%
22
Biomedicines
○ 67 papers in training set
Top 3%
0.8%
23
BMC Genomics
○ 406 papers in training set
Top 9%
0.6%
24
Biology of Sex Differences
○ 32 papers in training set
Top 0.7%
0.6%
25
Disease Models & Mechanisms
139 papers in training set
Top 3%
0.6%
26
Frontiers in Bioinformatics
○ 49 papers in training set
Top 2%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.