What is he best known for?
The fields of study he is best known for:
Walter L. Ruzzo mainly focuses on Genetics, Cellular differentiation, Cluster analysis, Data mining and Gene.
All of his Genetics and RNA, Gene expression profiling, Tetrahymena, Gene density and Gene prediction investigations are sub-components of the entire Genetics study.
Walter L. Ruzzo has included themes like Operon and Comparative genomics in his RNA study.
His studies deal with areas such as Molecular biology, Chromatin immunoprecipitation and Myogenesis as well as Cellular differentiation.
Much of his study explores Cluster analysis relationship to Computational biology.
His studies in Data mining integrate themes in fields like Iterative refinement and Sequence analysis.
His most cited work include:
- Protection in operating systems (956 citations)
- Principal component analysis for clustering gene expression data. (916 citations)
- Model-based clustering and data transformations for gene expression data. (775 citations)
What are the main themes of his work throughout his whole career to date?
Walter L. Ruzzo focuses on Computational biology, Genetics, Combinatorics, RNA and Discrete mathematics.
His Computational biology research integrates issues from Cluster analysis and Rfam.
Non-coding RNA, Gene, Regulation of gene expression, Genome and Transcription factor are subfields of Genetics in which his conducts study.
In the field of RNA, his study on Nucleic acid structure, RNA-binding protein, Riboswitch and Nucleic acid secondary structure overlaps with subjects such as Conserved sequence.
His research investigates the link between Nucleic acid secondary structure and topics such as Hidden Markov model that cross with problems in Data mining.
In Discrete mathematics, Walter L. Ruzzo works on issues like Alternating Turing machine, which are connected to Time hierarchy theorem.
He most often published in these fields:
- Computational biology (35.62%)
- Genetics (33.56%)
- Combinatorics (17.12%)
What were the highlights of his more recent work (between 2015-2020)?
- Gene (26.71%)
- Computational biology (35.62%)
- Cancer research (6.16%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Gene, Computational biology, Cancer research, RNA and Bioinformatics.
His study in Tiling array, Genome, Comparative genomics, DNA microarray and Untranslated region falls under the purview of Gene.
The Computational biology study combines topics in areas such as Non-coding RNA, Gene expression, Gene expression profiling and Transcription factor.
His Cancer research research includes elements of Cancer cell, Cancer, Prostate cancer, Tumor microenvironment and Metabolic network.
The subject of his RNA research is within the realm of Genetics.
His Bioinformatics research is multidisciplinary, incorporating elements of Transcription, Regulatory sequence, RNA-binding protein and Human genome.
Between 2015 and 2020, his most popular works were:
- The identification and functional annotation of RNA structures conserved in vertebrates (46 citations)
- The identification and functional annotation of RNA structures conserved in vertebrates (46 citations)
- The identification and functional annotation of RNA structures conserved in vertebrates (46 citations)
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