基本信息
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Bio
INTERESTS
Bioinformatics; Cancer Genomics; Isoform-level Gene Regulation; Epigenetics; Alternative Promoters and Alternative Splicing.
RESEARCH
Hypothesis: The central hypothesis of his laboratory research is that the isoform-level gene products “transcript variants” and “protein isoforms” are the basic functional units in the mammalian cell, and accordingly, the informatics platforms – ranging from basic molecular biology data management systems to the biomarker and therapeutic drug target discovery for precision medicine – should adapt “gene isoform centric” rather than “gene centric” approaches.
Dr Davuluri is a leader in bioinformatics and data science research. He has more than 20 years of progressive working experience in the areas of bioinformatics and computational genomics; a strong background in statistics and computer science; and synergistic expertise in statistical pattern recognition, machine learning, genomics and bioinformatics. He has served as PI of several multi-investigator and multi-site projects. His lab currently focuses on developing machine learning algorithms and informatics solutions for problems in isoform-level gene regulation and precision-medicine. The overarching goal of the lab is to translate data from high dimensional (-omic) platforms (e.g., NextGen sequencing) to derive experimentally interpretable and testable discovery models towards genomics-based decision support systems. His group is developing bioassays that can rapidly identify biomarkers from human tissue and blood samples. Towards these goals, his group applies a combination of state-of-the-art statistically rigorous data-mining methods and high-throughput experimental procedures in a systems biology setting.
Bioinformatics; Cancer Genomics; Isoform-level Gene Regulation; Epigenetics; Alternative Promoters and Alternative Splicing.
RESEARCH
Hypothesis: The central hypothesis of his laboratory research is that the isoform-level gene products “transcript variants” and “protein isoforms” are the basic functional units in the mammalian cell, and accordingly, the informatics platforms – ranging from basic molecular biology data management systems to the biomarker and therapeutic drug target discovery for precision medicine – should adapt “gene isoform centric” rather than “gene centric” approaches.
Dr Davuluri is a leader in bioinformatics and data science research. He has more than 20 years of progressive working experience in the areas of bioinformatics and computational genomics; a strong background in statistics and computer science; and synergistic expertise in statistical pattern recognition, machine learning, genomics and bioinformatics. He has served as PI of several multi-investigator and multi-site projects. His lab currently focuses on developing machine learning algorithms and informatics solutions for problems in isoform-level gene regulation and precision-medicine. The overarching goal of the lab is to translate data from high dimensional (-omic) platforms (e.g., NextGen sequencing) to derive experimentally interpretable and testable discovery models towards genomics-based decision support systems. His group is developing bioassays that can rapidly identify biomarkers from human tissue and blood samples. Towards these goals, his group applies a combination of state-of-the-art statistically rigorous data-mining methods and high-throughput experimental procedures in a systems biology setting.
Research Interests
Papers共 214 篇Author StatisticsCo-AuthorSimilar Experts
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ArXiv (2024)
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ICLR 2024 (2023)
Milena S. Nicoloso,Hao Sun,Riccardo Spizzo,Hyunsoo Kim,Priyankara Wickramasinghe,Masayoshi Shimizu,Sylwia E. Wojcik, Jana Ferdin,Tanja Kunej,Lianchun Xiao,Siranoush Manoukian, Giorgio Secreto,
crossref(2023)
crossref(2023)
Hao Huang,Yinu Wang,Manoj Kandpal,Guangyuan Zhao,Horacio Cardenas, Yanrong Ji,Anusha Chaparala,Edward J. Tanner, Jianjun Chen,Ramana V. Davuluri,Daniela Matei
crossref(2023)
Kamila Bedelbaeva, Benjamin Cameron, John Latella, Azamat Aslanukov,Dmitri Gourevitch,Ramana Davuluri,Ellen Heber-Katz
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY (2023): 1101480-1101480
Milena S. Nicoloso,Hao Sun,Riccardo Spizzo,Hyunsoo Kim,Priyankara Wickramasinghe,Masayoshi Shimizu,Sylwia E. Wojcik, Jana Ferdin,Tanja Kunej,Lianchun Xiao,Siranoush Manoukian, Giorgio Secreto,
crossref(2023)
Hao Huang,Yinu Wang,Manoj Kandpal,Guangyuan Zhao,Horacio Cardenas, Yanrong Ji,Anusha Chaparala,Edward J. Tanner, Jianjun Chen,Ramana V. Davuluri,Daniela Matei
crossref(2023)
crossref(2023)
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