What is he best known for?
The fields of study he is best known for:
- Gene
- Artificial intelligence
- Computer network
Dimitris Anastassiou spends much of his time researching Artificial neural network, Algorithm, Artificial intelligence, Cancer research and Encoder.
His work investigates the relationship between Algorithm and topics such as Coding that intersect with problems in Spectrogram, Frequency domain, Interlaced video, Graphics and Visualization.
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Computer vision.
His Cancer research research is multidisciplinary, incorporating perspectives in Tumor microenvironment, microRNA, Lymphocyte and Pathology.
His study in microRNA is interdisciplinary in nature, drawing from both Cell, Epigenetics and Immune system, Immunotherapy.
His Encoder research integrates issues from Computer engineering, Quality of service, Data compression, MPEG-2 and Filter.
His most cited work include:
- The Immune Landscape of Cancer (1142 citations)
- Genomic signal processing (410 citations)
- Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers. (386 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computational biology, Algorithm and Genetics.
His work on Artificial intelligence is being expanded to include thematically relevant topics such as Pattern recognition.
His Computer vision study frequently links to adjacent areas such as Coding.
His studies deal with areas such as Inference, Gene, Selection and Bioinformatics as well as Computational biology.
His Gene study combines topics from a wide range of disciplines, such as Cancer, Cancer research and Disease.
His Cancer research study integrates concerns from other disciplines, such as Gene signature and Stem cell.
He most often published in these fields:
- Artificial intelligence (26.09%)
- Computer vision (21.01%)
- Computational biology (15.22%)
What were the highlights of his more recent work (between 2011-2021)?
- Cancer (11.59%)
- Computational biology (15.22%)
- Cancer research (10.87%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cancer, Computational biology, Cancer research, Genetics and Gene.
His Cancer research is multidisciplinary, relying on both Biomarker and Attractor.
His work carried out in the field of Computational biology brings together such families of science as Bioinformatics, Tumor heterogeneity, Genome and Pan cancer, Cancer genome.
His Cancer research study incorporates themes from Cancer cell, microRNA, Metastasis and Pathology.
His research integrates issues of Tumor microenvironment, Cell, Lymphocyte and Immunotherapy in his study of Epigenetics.
Dimitris Anastassiou has researched DNA sequencing in several fields, including Machine learning and Artificial intelligence.
Between 2011 and 2021, his most popular works were:
- The Immune Landscape of Cancer (1142 citations)
- Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers. (386 citations)
- Computational analysis of the synergy among multiple interacting genes (134 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Artificial intelligence
- Computer network
His primary areas of investigation include Cancer research, Pathology, Computational biology, Genetics and microRNA.
Dimitris Anastassiou has included themes like Regulation of gene expression, Primary tumor and Notch signaling pathway in his Cancer research study.
His Computational biology study combines topics in areas such as Cancer, DNA sequencing, Attractor and Bioinformatics.
His Gene regulatory network and Genome-wide association study study, which is part of a larger body of work in Genetics, is frequently linked to Computational analysis and Gene Modules, bridging the gap between disciplines.
His microRNA research includes themes of Tumor microenvironment, Cell, Epigenetics and Lymphocyte.
Within one scientific family, he focuses on topics pertaining to Immune system under Cell, and may sometimes address concerns connected to Internal medicine.
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