Franki Speleman

What is he best known for?

The fields of study he is best known for:

• Gene
• Cancer
• DNA

Franki Speleman mostly deals with Genetics, Cancer research, Neuroblastoma, Gene and Molecular biology. His Cancer research research is multidisciplinary, relying on both Carcinogenesis, microRNA, Chromosomal rearrangement and Immunology. His research in Neuroblastoma intersects with topics in Oncology, Pathology, Internal medicine, Survival analysis and Loss of heterozygosity.

His research investigates the connection between Molecular biology and topics such as Regulation of gene expression that intersect with problems in Transcriptome. Franki Speleman has included themes like Microarray analysis techniques, Real-time polymerase chain reaction and Computational biology in his Gene expression profiling study. His studies in Microarray analysis techniques integrate themes in fields like Housekeeping gene and Proportional hazards model.

His most cited work include:

• Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes (14653 citations)
• qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data (2808 citations)
• Gain of chromosome arm 17q and adverse outcome in patients with neuroblastoma (409 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Cancer research, Genetics, Neuroblastoma, Gene and Molecular biology. His work investigates the relationship between Cancer research and topics such as microRNA that intersect with problems in Gene silencing. His studies examine the connections between Neuroblastoma and genetics, as well as such issues in Pathology, with regards to Internal medicine.

The concepts of his Gene study are interwoven with issues in Computational biology and Cell biology. His study looks at the relationship between Molecular biology and fields such as Cytogenetics, as well as how they intersect with chemical problems. Franki Speleman has researched Gene expression in several fields, including RNA and Real-time polymerase chain reaction.

He most often published in these fields:

• Cancer research (30.84%)
• Genetics (29.67%)
• Neuroblastoma (28.74%)

What were the highlights of his more recent work (between 2015-2021)?

• Cancer research (30.84%)
• Neuroblastoma (28.74%)
• Cell biology (8.64%)

In recent papers he was focusing on the following fields of study:

Franki Speleman focuses on Cancer research, Neuroblastoma, Cell biology, Gene and Computational biology. His Cancer research research is multidisciplinary, incorporating perspectives in Genetics, Leukemia, Signal transduction, Gene knockdown and Non invasive. Franki Speleman is interested in Long non-coding RNA, which is a branch of Genetics.

His Neuroblastoma study combines topics in areas such as Phenotype, Circulating Cell-Free DNA, Downregulation and upregulation, FOXM1 and Epigenetics. His research on Gene frequently connects to adjacent areas such as Cell growth. His Computational biology course of study focuses on Zebrafish and Real-time polymerase chain reaction.

Between 2015 and 2021, his most popular works were:

• A mechanistic classification of clinical phenotypes in neuroblastoma (74 citations)
• Shallow Whole Genome Sequencing on Circulating Cell-Free DNA Allows Reliable Noninvasive Copy-Number Profiling in Neuroblastoma Patients (55 citations)
• Long noncoding RNA expression profiling in cancer: Challenges and opportunities. (54 citations)

In his most recent research, the most cited papers focused on:

• Gene
• Cancer
• DNA

His scientific interests lie mostly in Cancer research, Neuroblastoma, Gene, microRNA and RNA. His Cancer research research integrates issues from Molecular biology, Stem cell, N-Myc, FOXM1 and Leukemia. His Neuroblastoma study integrates concerns from other disciplines, such as Viability assay, Regulation of gene expression and Pharmacology.

His study ties his expertise on Computational biology together with the subject of Gene. The Computational biology study combines topics in areas such as Three prime untranslated region, Real-time polymerase chain reaction, Zebrafish and Gene expression profiling. MicroRNA is a subfield of Genetics that Franki Speleman investigates.