[This corrects the article DOI: 10.18632/oncotarget.21981.].
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http://dx.doi.org/10.18632/oncotarget.26489 | DOI Listing |
Front Med (Lausanne)
November 2024
Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy.
Brief Bioinform
September 2024
Faculty of Synthetic Biology, Shenzhen University of Advanced Technology, Shenzhen Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Nanshan District, Shenzhen, 518055, China.
We introduce a groundbreaking approach: the minimum free energy-based Gaussian Self-Benchmarking (MFE-GSB) framework, designed to combat the myriad of biases inherent in RNA-seq data. Central to our methodology is the MFE concept, facilitating the adoption of a Gaussian distribution model tailored to effectively mitigate all co-existing biases within a k-mer counting scheme. The MFE-GSB framework operates on a sophisticated dual-model system, juxtaposing modeling data of uniform k-mer distribution against the real, observed sequencing data characterized by nonuniform k-mer distributions.
View Article and Find Full Text PDFNat Immunol
November 2024
Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy.
Am J Clin Nutr
September 2024
Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States; Department of Epidemiology, University of Washington, Seattle, WA, United States.
Cell Discov
March 2024
Oncogenomic and Epigenetic Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy.
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