A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue

This research is supported by the National Natural Science Foundation of China 82204118 (D.Z.), the seed funding of the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province (2020E10004), the National Institutes of Health (NIH) Genomic Innovator Award R35HG010718 (E.R.G.), NIH/NHGRI R01HG011138 (E.R.G.), NIH/NIA R56AG068026 (E.R.G.), NIH Office of the Director U24OD035523 (E.R.G.), and NIH/NIGMS R01GM140287 (E.R.G.).

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Publication Details

Journal
EBioMedicine
Published
2024-08-23
DOI
https://doi.org/10.1016/j.ebiom.2024.105305
Citations
3
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.70

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article

A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue

Yuan Zhou, Ya Cui, Chunxiao Cheng, Eric R. Gamazon et al.
3 citations
EBioMedicine
Gene expression and cancer classification
0.70
article

A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue

Yuan Zhou, Ya Cui, Chunxiao Cheng, Eric R. Gamazon, Wěi Li, Ran Meng, Dan Zhou, Chunfeng He, Yue Xu, Jiayao Fan
article en
3 citations

Abstract

This research is supported by the National Natural Science Foundation of China 82204118 (D.Z.), the seed funding of the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province (2020E10004), the National Institutes of Health (NIH) Genomic Innovator Award R35HG010718 (E.R.G.), NIH/NHGRI R01HG011138 (E.R.G.), NIH/NIA R56AG068026 (E.R.G.), NIH Office of the Director U24OD035523 (E.R.G.), and NIH/NIGMS R01GM140287 (E.R.G.).

EBioMedicineVol. 107
University of California, Irvine (US), Second Affiliated Hospital of Zhejiang University (CN), Vanderbilt University Medical Center (US)
National Natural Science Foundation of China, National Institutes of Health, National Institute on Aging, National Human Genome Research Institute, NIH Office of the Director, National Institute of General Medical Sciences
Gender equality
Openalex Percentile: Top 30%
Gene expression and cancer classification
0.70
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A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue — Yuan Zhou, Ya Cui, et al. · EBioMedicine (2024) | TGRS Research Map | TGRS