2012 - ACM Fellow For contributions to bioinformatics.
His research on Gene expression profiling and Gene regulatory network is centered around Gene expression. He undertakes interdisciplinary study in the fields of Gene and Alternative splicing through his works. His work often combines Genetics and Genome studies. He integrates many fields in his works, including Computational biology and Bioinformatics. He incorporates Bioinformatics and Computational biology in his studies. Artificial intelligence is frequently linked to Cluster analysis in his study. Ron Shamir connects Cluster analysis with Data mining in his study. He merges Data mining with Artificial intelligence in his study. In most of his Combinatorics studies, his work intersects topics such as Graph.
His research on Gene expression, Genome and Transcription factor is centered around Gene. The study of Gene expression is intertwined with the study of Genetics in a number of ways. He performs multidisciplinary study in Genetics and Computational biology in his work. His study deals with a combination of Computational biology and Gene. In his articles, he combines various disciplines, including Algorithm and Programming language. His work blends Programming language and Algorithm studies together. With his scientific publications, his incorporates both Artificial intelligence and Data mining. He integrates many fields in his works, including Data mining and Artificial intelligence. He integrates Combinatorics and Discrete mathematics in his research.
His Programming language research incorporates elements of Omics, Bioinformatics and Machine learning, Cluster analysis. His research on Bioinformatics often connects related areas such as Omics and Personalized medicine. His study deals with a combination of Machine learning and Cluster analysis. His Immunology research covers fields of interest such as Immune system and Pathology. Ron Shamir integrates many fields in his works, including Pathology and Immunology. He integrates several fields in his works, including Computational biology and Biochemistry. He merges Biochemistry with Computational biology in his research. His Sequence (biology) research extends to the thematically linked field of Genetics. His research brings together the fields of Genetics and Sequence (biology).
Ron Shamir connects relevant research areas such as False positive rate and Classifier (UML) in the realm of Artificial intelligence. His research combines Artificial intelligence and Classifier (UML). His Virus study is within the categories of Viral load and Viral infection. He integrates several fields in his works, including Viral load and Virus. Many of his studies on Viral infection involve topics that are commonly interrelated, such as Immunology. His work on C-reactive protein expands to the thematically related Immunology. His Inflammation research includes a combination of various areas of study, such as Differential diagnosis and C-reactive protein. He performs multidisciplinary study on Differential diagnosis and Inflammation in his works. By researching both Computational biology and Algorithm, he produces research that crosses academic boundaries.
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Clustering gene expression patterns.
Amir Ben-Dor;Ron Shamir;Zohar Yakhini.
Journal of Computational Biology (1999)
Network-based prediction of protein function
Roded Sharan;Igor Ulitsky;Ron Shamir.
Modelling and analysis of gene regulatory networks
Guy Karlebach;Ron Shamir.
Nature Reviews Molecular Cell Biology (2008)
Discovering statistically significant biclusters in gene expression data.
Amos Tanay;Roded Sharan;Ron Shamir.
intelligent systems in molecular biology (2002)
Dynamic changes in the copy number of pluripotency and cell proliferation genes in human ESCs and iPSCs during reprogramming and time in culture.
Louise C. Laurent;Louise C. Laurent;Igor Ulitsky;Igor Ulitsky;Ileana Slavin;Ha Tran.
Cell Stem Cell (2011)
Quantification of protein half-lives in the budding yeast proteome
Archana Belle;Amos Tanay;Ledion Bitincka;Ron Shamir.
Proceedings of the National Academy of Sciences of the United States of America (2006)
Center CLICK: A Clustering Algorithm with Applications to Gene Expression Analysis
Roded Sharan;Ron Shamir.
intelligent systems in molecular biology (2000)
A clustering algorithm based on graph connectivity
Erez Hartuv;Ron Shamir.
Information Processing Letters (2000)
Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide data
Amos Tanay;Roded Sharan;Martin Kupiec;Ron Shamir.
Proceedings of the National Academy of Sciences of the United States of America (2004)
How prevalent is functional alternative splicing in the human genome
Rotem Sorek;Ron Shamir;Gil Ast.
Trends in Genetics (2004)
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