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ToxVec: Deep Language Model-Based Representation Learning for Venom Peptide Classification

Ahmadi, M.; Jahed-Motlagh, M. R.; Asgari, E.; Torkaman Rahmani, A.; McHardy, A. C.

2020-10-01 bioinformatics
10.1101/2020.09.29.319046 bioRxiv
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WITHDRAWAL STATEMENTbioRxiv has withdrawn this manuscript as it was submitted and made public without the full consent of all the authors. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Bioinformatics
◐ 1204 papers in training set
Top 0.4%
36.7%
Similar papers in this journal
2
Bioinformatics Advances
◐ 203 papers in training set
Top 0.2%
9.9%
Similar papers in this journal
3
BioData Mining
○ 22 papers in training set
Top 0.1%
4.9%
Similar papers in this journal
50% of probability mass above
4
Briefings in Bioinformatics
◐ 354 papers in training set
Top 2%
4.1%
Similar papers in this journal
5
Frontiers in Genetics
○ 230 papers in training set
Top 1%
3.3%
Similar papers in this journal
6
Journal of Computational Biology
○ 48 papers in training set
Top 0.3%
3.3%
7
Scientific Reports
○ 3612 papers in training set
Top 34%
3.2%
8
BMC Bioinformatics
○ 457 papers in training set
Top 3%
3.2%
9
Frontiers in Bioinformatics
○ 49 papers in training set
Top 0.3%
2.4%
10
IEEE/ACM Transactions on Computational Biology and Bioinformatics
● 38 papers in training set
Top 0.4%
2.2%
11
Computational and Structural Biotechnology Journal
● 242 papers in training set
Top 3%
1.8%
12
PeerJ
◐ 308 papers in training set
Top 5%
1.8%
13
Patterns
○ 78 papers in training set
Top 1%
1.8%
14
PLOS Computational Biology
● 1863 papers in training set
Top 16%
1.1%
15
Journal of Chemical Information and Modeling
● 238 papers in training set
Top 2%
1.1%
16
Nature Machine Intelligence
○ 70 papers in training set
Top 2%
1.1%
17
Computational Biology and Chemistry
○ 28 papers in training set
Top 0.9%
0.9%
18
GigaScience
◐ 212 papers in training set
Top 4%
0.9%
19
Artificial Intelligence in Medicine
○ 17 papers in training set
Top 0.7%
0.9%
20
ImmunoInformatics
○ 12 papers in training set
Top 0.2%
0.6%
21
NAR Genomics and Bioinformatics
◐ 242 papers in training set
Top 5%
0.6%
22
Biology Methods and Protocols
◐ 61 papers in training set
Top 3%
0.6%
23
Expert Systems with Applications
○ 11 papers in training set
Top 0.5%
0.6%
24
Database
◐ 61 papers in training set
Top 1%
0.6%
25
Neuroinformatics
○ 46 papers in training set
Top 0.9%
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.