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[HTML][HTML] Deep learning-based transcriptome data classification for drug-target interaction prediction

L Xie, S He, X Song, X Bo, Z Zhang - BMC genomics, 2018 - Springer
Background The ability to predict the interaction of drugs with target proteins is essential to
research and development of drug. However, the traditional experimental paradigm is costly …
被引用次数：93 相关文章

Deep learning-based transcriptome data classification for drug-target interaction prediction.

L Xie, S He, X Song, X Bo, Z Zhang - BMC Genomics, 2018 - europepmc.org
Background The ability to predict the interaction of drugs with target proteins is essential to
research and development of drug. However, the traditional experimental paradigm is costly …

Deep learning-based transcriptome data classification for drug-target interaction prediction

L Xie, S He, X Song, X Bo, Z Zhang - BMC genomics, 2018 - pubmed.ncbi.nlm.nih.gov
Background The ability to predict the interaction of drugs with target proteins is essential to
research and development of drug. However, the traditional experimental paradigm is costly …

Deep learning-based transcriptome data classification for drug-target interaction prediction

L Xie, S He, X Song, X Bo, Z Zhang - BMC Genomics, 2018 - go.gale.com
Background The ability to predict the interaction of drugs with target proteins is essential to
research and development of drug. However, the traditional experimental paradigm is costly …

Deep learning-based transcriptome data classification for drug-target interaction prediction.

L Xie, Z Zhang, S He, X Song, X Bo - BMC Genomics, 2018 - search.ebscohost.com
Background: The ability to predict the interaction of drugs with target proteins is essential to
research and development of drug. However, the traditional experimental paradigm is costly …

Deep learning-based transcriptome data classification for drug-target interaction prediction

L Xie, S He, X Song, X Bo, Z Zhang - BMC Genomics, 2018 - search.proquest.com
Background The ability to predict the interaction of drugs with target proteins is essential to
research and development of drug. However, the traditional experimental paradigm is costly …
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[HTML][HTML] Deep learning-based transcriptome data classification for drug-target interaction prediction

L Xie, S He, X Song, X Bo, Z Zhang - BMC Genomics, 2018 - ncbi.nlm.nih.gov
Background The ability to predict the interaction of drugs with target proteins is essential to
research and development of drug. However, the traditional experimental paradigm is costly …
[HTML] biomedcentral.com

[HTML][HTML] Deep learning-based transcriptome data classification for drug-target interaction prediction

L Xie, S He, X Song, X Bo… - BMC …, 2018 - bmcgenomics.biomedcentral.com
The ability to predict the interaction of drugs with target proteins is essential to research and
development of drug. However, the traditional experimental paradigm is costly, and previous …
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[PDF][PDF] Deep learning-based transcriptome data classification for drug-target interaction prediction

L Xie, S He, X Song, X Bo, Z Zhang - 2018 - scholar.archive.org
Background: The ability to predict the interaction of drugs with target proteins is essential to
research and development of drug. However, the traditional experimental paradigm is costly …
[PDF] d-nb.info

[PDF][PDF] Deep learning-based transcriptome data classification for drug-target interaction prediction

L Xie, S He, X Song, X Bo, Z Zhang - 2018 - d-nb.info
Background: The ability to predict the interaction of drugs with target proteins is essential to
research and development of drug. However, the traditional experimental paradigm is costly …