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Sol Efroni

Showing results (21-30 of 72) with videos related to

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NPJ Systems Biology and Applications|August 8, 2025
Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoiresMiriam Zuckerbrot-Schuldenfrei, Ari Raphael, Alona Zilberberg, et al.
Scientific Reports|October 16, 2019
A modeling algorithm for exploring the architecture and construction of bird nestsHadass R Jessel, Lior Aharoni, Sol Efroni, et al.
Autoimmunity|January 20, 2011
Reactive animation: from piecemeal experimentation to reactive biological systemsOded Vainas, David Harel, Irun R Cohen, et al.
Oncotarget|April 2, 2016
hsa-miR-9 controls the mobility behavior of glioblastoma cells via regulation of MAPK14 signaling elementsRotem Ben-Hamo, Alona Zilberberg, Helit Cohen, et al.
Cell Cycle (Georgetown, Tex.)|December 25, 2008
Stem cells do play with dice: a statistical physics view of transcriptionSol Efroni, Shai Melcer, Malka Nissim-Rafinia, et al.
Immunology|November 3, 2011
Rep-Seq: uncovering the immunological repertoire through next-generation sequencingJennifer Benichou, Rotem Ben-Hamo, Yoram Louzoun, et al.
Translational Oncology|March 15, 2025
Leveraging machine learning for integrative analysis of T-cell receptor repertoires in colorectal cancer: Insights into MAIT cell dynamics and risk assessmentRomi Goldner Kabeli, Ben Boursi, Alona Zilberberg, et al.
Scientific Data|February 23, 2023
The temporal behavior of the murine T cell receptor repertoire following ImmunotherapyTom Snir, Hagit Philip, Miri Gordin, et al.
Plos One|August 7, 2008
Superposition of transcriptional behaviors determines gene stateSol Efroni, Liran Carmel, Carl G Schaefer, et al.
Oncotarget|September 5, 2015
A novel mitosis-associated lncRNA, MA-linc1, is required for cell cycle progression and sensitizes cancer cells to PaclitaxelOr Bida, Moriah Gidoni, Diana Ideses, et al.
Pageof 8

Showing results (21-30 of 72) with videos related to

Sort By:
Pageof 8
NPJ Systems Biology and Applications|August 8, 2025
Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoiresMiriam Zuckerbrot-Schuldenfrei, Ari Raphael, Alona Zilberberg, et al.
Scientific Reports|October 16, 2019
A modeling algorithm for exploring the architecture and construction of bird nestsHadass R Jessel, Lior Aharoni, Sol Efroni, et al.
Autoimmunity|January 20, 2011
Reactive animation: from piecemeal experimentation to reactive biological systemsOded Vainas, David Harel, Irun R Cohen, et al.
Oncotarget|April 2, 2016
hsa-miR-9 controls the mobility behavior of glioblastoma cells via regulation of MAPK14 signaling elementsRotem Ben-Hamo, Alona Zilberberg, Helit Cohen, et al.
Cell Cycle (Georgetown, Tex.)|December 25, 2008
Stem cells do play with dice: a statistical physics view of transcriptionSol Efroni, Shai Melcer, Malka Nissim-Rafinia, et al.
Immunology|November 3, 2011
Rep-Seq: uncovering the immunological repertoire through next-generation sequencingJennifer Benichou, Rotem Ben-Hamo, Yoram Louzoun, et al.
Translational Oncology|March 15, 2025
Leveraging machine learning for integrative analysis of T-cell receptor repertoires in colorectal cancer: Insights into MAIT cell dynamics and risk assessmentRomi Goldner Kabeli, Ben Boursi, Alona Zilberberg, et al.
Scientific Data|February 23, 2023
The temporal behavior of the murine T cell receptor repertoire following ImmunotherapyTom Snir, Hagit Philip, Miri Gordin, et al.
Plos One|August 7, 2008
Superposition of transcriptional behaviors determines gene stateSol Efroni, Liran Carmel, Carl G Schaefer, et al.
Oncotarget|September 5, 2015
A novel mitosis-associated lncRNA, MA-linc1, is required for cell cycle progression and sensitizes cancer cells to PaclitaxelOr Bida, Moriah Gidoni, Diana Ideses, et al.
Pageof 8