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Research software . 2018
DECRES
Python
Authors:
WassermanEmail author, Wyeth W.;
WassermanEmail author, Wyeth W.;
Publisher: bio.tools
Project: CIHR , NSERC , NIH | Computational Resources f... (1R01GM084875-01A2)
DEep learning for identifying Cis-Regulatory ElementS is an extension of the Deep Learning Tutorials developped by LISA lab (www.deeplearning.net/tutorial/). Although it is developped for the identification of CREs, it can also be used for other applications.
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.v1 , 10.6084/m9.figshare.6401516
doi: 10.6084/m9.figshare.6401516.v1 , 10.6084/m9.figshare.6401516
Publisher: Figshare
Project: CIHR , NIH | Computational Resources f... (1R01GM084875-01A2), NSERC
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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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: NIH | Computational Resources f... (1R01GM084875-01A2), CIHR , NSERC
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.

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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: 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.
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: CIHR , NIH | Computational Resources f... (1R01GM084875-01A2), NSERC
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: 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 software . 2015
JASPAR
Open Source Python
Authors:
Sandelin, Albin; Lenhard, Boris; Wasserman, Wyeth; Mathelier, Anthony;
Sandelin, Albin; Lenhard, Boris; Wasserman, Wyeth; Mathelier, Anthony;
Publisher: bio.tools
Project: EC | ZF-HEALTH (242048), CIHR , EC | DTSSCP (204135), NSERC , UKRI | Computational Regulatory ... (MC_UP_1102/1), WT | The core promoter: an une... (106954), UKRI | DanioPeaks: A Central Res... (BB/N023358/1), NIH | Computational Resources f... (1R01GM084875-01A2)
The high-quality transcription factor binding profile database.

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Project arrow_drop_down is arrow_drop_down	Computational Resources for the Compilation and Distribution of Transcription Fac (1R01GM084875-01A2)

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Project arrow_drop_down is arrow_drop_down	Computational Resources for the Compilation and Distribution of Transcription Fac (1R01GM084875-01A2)

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7 Research products, page 1 of 1

Canada
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DECRES

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

JASPAR

7 Research products, page 1 of 1

DECRES

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

JASPAR

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