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Research data . 2018
Additional file 2 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods
Open Access
Authors:
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
doi: 10.6084/m9.figshare.6401516 , 10.6084/m9.figshare.6401516.v1
doi: 10.6084/m9.figshare.6401516 , 10.6084/m9.figshare.6401516.v1
Publisher: figshare
Project: NSERC , NIH | Computational Resources f... (1R01GM084875-01A2), CIHR
Genome-wide predictions of cis-regulatory regions for all six cell types. (ZIP 20400 kb)
Average popularity
Average popularity In bottom 99%
Popularity: Citation-based measure reflecting the current impact.
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Average influence
Average influence In bottom 99%
Influence: Citation-based measure reflecting the total impact.
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addAdd to ORCID
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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Research data . 2018
Additional file 4 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods
Open Access
Authors:
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
doi: 10.6084/m9.figshare.6401552.v1
doi: 10.6084/m9.figshare.6401552.v1
Publisher: figshare
Project: NSERC , NIH | Computational Resources f... (1R01GM084875-01A2), CIHR
List of features used for each cell type. (ZIP 1.36 kb)
Average popularity
Average popularity In bottom 99%
Popularity: Citation-based measure reflecting the current impact.
View more details
Average influence
Average influence In bottom 99%
Influence: Citation-based measure reflecting the total impact.
View more details
addAdd to ORCID
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Research data . 2018
Additional file 3 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods
Open Access
Authors:
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
doi: 10.6084/m9.figshare.6401534
doi: 10.6084/m9.figshare.6401534
Publisher: figshare
Project: CIHR , NSERC , NIH | Computational Resources f... (1R01GM084875-01A2)
Predictions on CAGE supported bidirectional loci. AiA: Active in the FANTOM Enhancer Atlas; IiA: Inactive in the FANTOM Enhancer Atlas; NiA: Not included in the FANTOM Enhancer Atlas; Specific: Predicted cell-specific A-Es. (ZIP 4820 kb)
Average popularity
Average popularity In bottom 99%
Popularity: Citation-based measure reflecting the current impact.
View more details
Average influence
Average influence In bottom 99%
Influence: Citation-based measure reflecting the total impact.
View more details
addAdd to ORCID
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Research data . 2018
Additional file 4 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods
Open Access
Authors:
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
doi: 10.6084/m9.figshare.6401552
doi: 10.6084/m9.figshare.6401552
Publisher: figshare
Project: NSERC , NIH | Computational Resources f... (1R01GM084875-01A2), CIHR
List of features used for each cell type. (ZIP 1.36 kb)
Average popularity
Average popularity In bottom 99%
Popularity: Citation-based measure reflecting the current impact.
View more details
Average influence
Average influence In bottom 99%
Influence: Citation-based measure reflecting the total impact.
View more details
addAdd to ORCID
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Research data . 2018
Additional file 3 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods
Open Access
Authors:
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
Yifeng Li; Wenqiang Shi; Wyeth Wasserman;
doi: 10.6084/m9.figshare.6401534.v1
doi: 10.6084/m9.figshare.6401534.v1
Publisher: figshare
Project: NSERC , CIHR , NIH | Computational Resources f... (1R01GM084875-01A2)
Predictions on CAGE supported bidirectional loci. AiA: Active in the FANTOM Enhancer Atlas; IiA: Inactive in the FANTOM Enhancer Atlas; NiA: Not included in the FANTOM Enhancer Atlas; Specific: Predicted cell-specific A-Es. (ZIP 4820 kb)
Average popularity
Average popularity In bottom 99%
Popularity: Citation-based measure reflecting the current impact.
View more details
Average influence
Average influence In bottom 99%
Influence: Citation-based measure reflecting the total impact.
View more details
addAdd to ORCID
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.

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5 Research products, page 1 of 1

Canada
Research data
Open Access
Dataset

Additional file 2 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Additional file 4 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Additional file 3 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Additional file 4 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Additional file 3 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

5 Research products, page 1 of 1

Additional file 2 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Additional file 4 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Additional file 3 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Additional file 4 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Additional file 3 of Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Filters

Access (1)

Year range

Document Type (1)

Funder (3)

Country (2)

Source (1)

Research community (1)

5 Research products, page 1 of 1

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Canada
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