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Scientific Reports
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May 15, 2023
Mutational signatures association with replication timing in normal cells reveals similarities and differences with matched cancer tissues
Adar Yaacov, Shai Rosenberg, Itamar Simon
Journal of Molecular Neuroscience : MN
|
June 12, 2015
Increased High-Sensitivity Troponin-T Levels Are Associated with Mortality After Ischemic Stroke
Asaf Maoz, Shai Rosenberg, Ronen R Leker
Human Mutation
|
February 6, 2019
High prevalence of cancer-associated TP53 variants in the gnomAD database: A word of caution concerning the use of variant filtering
Thierry Soussi, Bernard Leroy, Michal Devir, et al.
Scientific Reports
|
November 24, 2020
Comprehensive assessment of TP53 loss of function using multiple combinatorial mutagenesis libraries
Vincent Carbonnier, Bernard Leroy, Shai Rosenberg, et al.
The Israel Medical Association Journal : IMAJ
|
February 23, 2016
Cameraman's Foot
Shai Rosenberg, John M Gomori, Avinoam Reches, et al.
The American Journal of Medicine
|
April 8, 2024
Multimodal Machine Learning for Prediction of 30-Day Readmission Risk in Elderly Population
Ranel Loutati, Arie Ben-Yehuda, Shai Rosenberg, et al.
Scientific Reports
|
August 12, 2023
Both cell autonomous and non-autonomous processes modulate the association between replication timing and mutation rate
Oriya Vardi-Yaacov, Adar Yaacov, Shai Rosenberg, et al.
Molecular Cancer Therapeutics
|
October 1, 2020
Survival Implications of the Relationship between Tissue versus Circulating Tumor DNA <i>TP53</i> Mutations-A Perspective from a Real-World Precision Medicine Cohort
Shai Rosenberg, Ryosuke Okamura, Shumei Kato, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
January 24, 2002
Evidence for positive selection and population structure at the human MAO-A gene
Yoav Gilad, Shai Rosenberg, Molly Przeworski, et al.
Cancer Research
|
October 20, 2022
Shared Cancer Dataset Analysis Identifies and Predicts the Quantitative Effects of Pan-Cancer Somatic Driver Variants
Jakob Landau, Linoy Tsaban, Adar Yaacov, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 37) with videos related to
Sort By:
Page
of 4
Scientific Reports
|
May 15, 2023
Mutational signatures association with replication timing in normal cells reveals similarities and differences with matched cancer tissues
Adar Yaacov, Shai Rosenberg, Itamar Simon
Journal of Molecular Neuroscience : MN
|
June 12, 2015
Increased High-Sensitivity Troponin-T Levels Are Associated with Mortality After Ischemic Stroke
Asaf Maoz, Shai Rosenberg, Ronen R Leker
Human Mutation
|
February 6, 2019
High prevalence of cancer-associated TP53 variants in the gnomAD database: A word of caution concerning the use of variant filtering
Thierry Soussi, Bernard Leroy, Michal Devir, et al.
Scientific Reports
|
November 24, 2020
Comprehensive assessment of TP53 loss of function using multiple combinatorial mutagenesis libraries
Vincent Carbonnier, Bernard Leroy, Shai Rosenberg, et al.
The Israel Medical Association Journal : IMAJ
|
February 23, 2016
Cameraman's Foot
Shai Rosenberg, John M Gomori, Avinoam Reches, et al.
The American Journal of Medicine
|
April 8, 2024
Multimodal Machine Learning for Prediction of 30-Day Readmission Risk in Elderly Population
Ranel Loutati, Arie Ben-Yehuda, Shai Rosenberg, et al.
Scientific Reports
|
August 12, 2023
Both cell autonomous and non-autonomous processes modulate the association between replication timing and mutation rate
Oriya Vardi-Yaacov, Adar Yaacov, Shai Rosenberg, et al.
Molecular Cancer Therapeutics
|
October 1, 2020
Survival Implications of the Relationship between Tissue versus Circulating Tumor DNA <i>TP53</i> Mutations-A Perspective from a Real-World Precision Medicine Cohort
Shai Rosenberg, Ryosuke Okamura, Shumei Kato, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
January 24, 2002
Evidence for positive selection and population structure at the human MAO-A gene
Yoav Gilad, Shai Rosenberg, Molly Przeworski, et al.
Cancer Research
|
October 20, 2022
Shared Cancer Dataset Analysis Identifies and Predicts the Quantitative Effects of Pan-Cancer Somatic Driver Variants
Jakob Landau, Linoy Tsaban, Adar Yaacov, et al.
Page
of 4