Published August 23, 2024
| Version v1
Dataset
Open
Datasets accompanying Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer
Authors/Creators
-
Karimzadeh, Mehran
(Project member)1
-
Momen-Roknabadi, Amir
(Project member)1
-
Cavazos, Taylor
(Project member)1
-
Fang, Yuqi
(Project member)1
-
Chen, Nae-Chyun
(Project member)1
- Multhaup, Michael (Project member)1
- Yen, Jennifer (Project member)1
- Ku, Jeremy (Project member)1
- Wang, Jieyang (Project member)1
- Zhao, Xuan (Project member)1
- Murzynowski, Philip (Project member)1
- Kathleen, Wang (Project member)1
- Hanna, Rose (Project member)1
- Huang, Alice (Project member)1
- Corti, Diana (Project member)1
- Nguyen, Dang (Project member)1
-
Lam, Ti
(Project member)1
-
Kilinc, Seda
(Project member)1
- Arensdorf, Patrick (Project member)1
- Chau, Kimberly (Project member)1
- Hartwig, Anna (Project member)1
-
Fish, Lisa
(Project member)1
-
Li, Helen
(Project member)1
- Behsaz, Babak (Project member)1
- Elemento, Olivier (Project member)2
- Zou, James (Project member)3
-
Hormozdiari, Fereydoun
(Project leader)1
-
Alipanahi, Babak
(Project leader)1
-
Goodarzi, Hani
(Project leader)4, 1
- 1. Exai Bio, Inc.
- 2. Weill Cornell Medicine
-
3.
Stanford University
- 4. Arc Institute
Description
These datasets accompany the manuscript "Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer".
The datasets include:
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metadata.tsv.gzPhenotype information of the samples -
mirna_counts.tsv.gzMicroRNA count matrix (for data normalization) -
oncrna_counts.tsv.gzoncRNA count matrix -
orion/Ensemble of Orion models
Files
v1.0.0.zip
Files
(6.7 GB)
| Name | Size | Download all |
|---|---|---|
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md5:fc45a0755e1ae4230a534fd19edb0d42
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