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MIRAGE: a Bayesian rare variant association analysis method incorporating functional information of variants

Han, S.; Sun, X.; Sloofman, L.; Satterstrom, F. K.; Wang, G.; Liang, L.; Knoblauch, N.; Zhao, S.; Liu, Y.; Shen, W.; Nguyen, H. T.; He, X.

2024-10-25 genetics
10.1101/2024.10.24.620131 bioRxiv
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Withdraw StatementThe authors have withdrawn this manuscript due to a duplicate submission and request that it not be cited as a reference for ongoing projects. For further inquiries, please contact the corresponding author. Details regarding this project are available at https://www.biorxiv.org/content/10.1101/828061v1.article-info.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS Genetics
● 862 papers in training set
Top 0.3%
18.2%
Similar papers in this journal
2
The American Journal of Human Genetics
○ 234 papers in training set
Top 0.3%
12.7%
Similar papers in this journal
3
Genetic Epidemiology
○ 55 papers in training set
Top 0.1%
7.7%
Similar papers in this journal
4
Genome Biology
○ 637 papers in training set
Top 2%
5.4%
Similar papers in this journal
5
eLife
● 5828 papers in training set
Top 23%
5.4%
Similar papers in this journal
6
PLOS Computational Biology
● 1863 papers in training set
Top 8%
4.8%
50% of probability mass above
7
npj Genomic Medicine
○ 36 papers in training set
Top 0.1%
3.5%
8
Nature Communications
○ 5641 papers in training set
Top 34%
3.4%
9
PLOS ONE
● 5266 papers in training set
Top 39%
2.6%
10
Nature Computational Science
○ 55 papers in training set
Top 0.4%
2.3%
11
Genome Research
● 468 papers in training set
Top 3%
2.3%
12
Biological Psychiatry
○ 137 papers in training set
Top 1%
2.3%
13
Human Molecular Genetics
◐ 141 papers in training set
Top 1%
2.3%
14
Briefings in Bioinformatics
◐ 354 papers in training set
Top 4%
2.1%
15
BMC Bioinformatics
○ 457 papers in training set
Top 3%
2.1%
16
Bioinformatics
◐ 1204 papers in training set
Top 6%
2.1%
17
Human Genetics and Genomics Advances
○ 84 papers in training set
Top 1%
2.1%
18
Scientific Reports
○ 3612 papers in training set
Top 49%
1.9%
19
Human Genetics
○ 28 papers in training set
Top 0.3%
1.4%
20
Genome Medicine
○ 183 papers in training set
Top 3%
1.3%
21
GENETICS
◐ 483 papers in training set
Top 3%
1.1%
22
Molecular Autism
○ 33 papers in training set
Top 0.4%
1.0%
23
Communications Biology
○ 993 papers in training set
Top 28%
0.9%
24
Nucleic Acids Research
◐ 1281 papers in training set
Top 14%
0.8%
25
Nature Genetics
○ 286 papers in training set
Top 5%
0.8%
26
Frontiers in Genetics
○ 230 papers in training set
Top 7%
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.