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Discov Oncol
January 2025
Department of Laboratory, the Second Hospital of Shanxi Medical University, No. 382, Wuyi Road, Taiyuan, 030001, Shanxi, People's Republic of China.
Background: Pancreatic cancer (PAC) has a complex tumor immune microenvironment, and currently, there is a lack of accurate personalized treatment. Establishing a novel consensus machine learning driven signature (CMLS) that offers a unique predictive model and possible treatment targets for this condition was the goal of this study.
Methods: This study integrated multiple omics data of PAC patients, applied ten clustering techniques and ten machine learning approaches to construct molecular subtypes for PAC, and created a new CMLS.
Nucleic Acids Res
January 2025
School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3JH, United Kingdom.
The growing demand for biological products drives many efforts to maximize expression of heterologous proteins. Advances in high-throughput sequencing can produce data suitable for building sequence-to-expression models with machine learning. The most accurate models have been trained on one-hot encodings, a mechanism-agnostic representation of nucleotide sequences.
View Article and Find Full Text PDFEcol Evol
January 2025
Universidad Regional Amazónica Ikiam Tena Ecuador.
Neotropical regions near the equator are recognized as speciation "hot spots" reflecting their abundant biodiversity. In western South America, the coasts of Panama, Colombia, Ecuador, the Galápagos Archipelago, and northern Peru form the Tropical Eastern Pacific biome. This area has the greatest heterogeneity of sympatric fiddler crab species of any portion of the planet.
View Article and Find Full Text PDFEnviron Microbiol
January 2025
Thermophile Research Unit, Te Aka Mātuatua, School of Science, Te Whare Wānanga o Waikato, University of Waikato, Hamilton, Aotearoa-New Zealand.
Active geothermal systems are relatively rare in Antarctica and represent metaphorical islands ideal to study microbial dispersal. In this study, we tested the macro-ecological concept that high dispersal rates result in communities being dominated by either habitat generalists or specialists by investigating the microbial communities on four geographically separated geothermal sites on three Antarctic volcanoes (Mts. Erebus, Melbourne, and Rittman).
View Article and Find Full Text PDFNat Mater
January 2025
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany.
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