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Jacopo Cirrone

Showing results (1-10 of 8) with videos related to

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BMC Bioinformatics|September 12, 2018
SuperNoder: a tool to discover over-represented modular structures in networksDanilo Dessì, Jacopo Cirrone, Diego Reforgiato Recupero, et al.
Scientific Reports|April 24, 2020
OutPredict: multiple datasets can improve prediction of expression and inference of causalityJacopo Cirrone, Matthew D Brooks, Richard Bonneau, et al.
Scientific Reports|August 20, 2020
Author Correction: OutPredict: multiple datasets can improve prediction of expression and inference of causalityJacopo Cirrone, Matthew D Brooks, Richard Bonneau, et al.
Scientific Reports|May 11, 2024
Shifting to machine supervision: annotation-efficient semi and self-supervised learning for automatic medical image segmentation and classificationPranav Singh, Raviteja Chukkapalli, Shravan Chaudhari, et al.
Plant Physiology|February 25, 2021
ConnecTF: A platform to integrate transcription factor-gene interactions and validate regulatory networksMatthew D Brooks, Che-Lun Juang, Manpreet Singh Katari, et al.
Nature Communications|April 7, 2019
Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactionsMatthew D Brooks, Jacopo Cirrone, Angelo V Pasquino, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 18, 2018
Temporal transcriptional logic of dynamic regulatory networks underlying nitrogen signaling and use in plantsKranthi Varala, Amy Marshall-Colón, Jacopo Cirrone, et al.
Science (New York, N.Y.)|December 23, 2021
Cell-by-cell dissection of phloem development links a maturation gradient to cell specializationPawel Roszak, Jung-Ok Heo, Bernhard Blob, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|September 12, 2018
SuperNoder: a tool to discover over-represented modular structures in networksDanilo Dessì, Jacopo Cirrone, Diego Reforgiato Recupero, et al.
Scientific Reports|April 24, 2020
OutPredict: multiple datasets can improve prediction of expression and inference of causalityJacopo Cirrone, Matthew D Brooks, Richard Bonneau, et al.
Scientific Reports|August 20, 2020
Author Correction: OutPredict: multiple datasets can improve prediction of expression and inference of causalityJacopo Cirrone, Matthew D Brooks, Richard Bonneau, et al.
Scientific Reports|May 11, 2024
Shifting to machine supervision: annotation-efficient semi and self-supervised learning for automatic medical image segmentation and classificationPranav Singh, Raviteja Chukkapalli, Shravan Chaudhari, et al.
Plant Physiology|February 25, 2021
ConnecTF: A platform to integrate transcription factor-gene interactions and validate regulatory networksMatthew D Brooks, Che-Lun Juang, Manpreet Singh Katari, et al.
Nature Communications|April 7, 2019
Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactionsMatthew D Brooks, Jacopo Cirrone, Angelo V Pasquino, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 18, 2018
Temporal transcriptional logic of dynamic regulatory networks underlying nitrogen signaling and use in plantsKranthi Varala, Amy Marshall-Colón, Jacopo Cirrone, et al.
Science (New York, N.Y.)|December 23, 2021
Cell-by-cell dissection of phloem development links a maturation gradient to cell specializationPawel Roszak, Jung-Ok Heo, Bernhard Blob, et al.
Pageof 1