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Deep learning identifies a T-cell exhaustion-dependent transcriptional signature for predicting clinical outcomes and response to immune checkpoint blockade.

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Title: Deep learning identifies a T-cell exhaustion-dependent transcriptional signature for predicting clinical outcomes and response to immune checkpoint blockade.
Authors: Zhang, Zicheng1 (AUTHOR), Chen, Hongyan1 (AUTHOR), Yan, Dongxue1 (AUTHOR), Chen, Lu1 (AUTHOR), Sun, Jie1 (AUTHOR) suncarajie@wmu.edu.cn, Zhou, Meng1 (AUTHOR) zhoumeng@wmu.edu.cn
Source: Oncogenesis. 7/11/2023, Vol. 12 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: Deep learning identifies a T-cell exhaustion-dependent transcriptional signature for predicting clinical outcomes and response to immune checkpoint blockade.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Zicheng%22">Zhang, Zicheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Hongyan%22">Chen, Hongyan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Dongxue%22">Yan, Dongxue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Lu%22">Chen, Lu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Jie%22">Sun, Jie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> suncarajie@wmu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Meng%22">Zhou, Meng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhoumeng@wmu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Oncogenesis%22">Oncogenesis</searchLink>. 7/11/2023, Vol. 12 Issue 1, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=164818333
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        Value: 10.1038/s41389-023-00482-2
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        Text: English
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      – TitleFull: Deep learning identifies a T-cell exhaustion-dependent transcriptional signature for predicting clinical outcomes and response to immune checkpoint blockade.
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            NameFull: Chen, Hongyan
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              Text: 7/11/2023
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              Y: 2023
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