Publications by authors named "A Salcedo"
The recent Dark Energy Survey Year 1 (DES-Y1) analysis of galaxy cluster abundances and weak lensing produced Ω_{m} and σ_{8} constraints in 5.6σ tension with those derived from Planck. It is suggested in that work that this tension is driven by unmodeled systematics in optical cluster selection.
View Article and Find Full Text PDFCareer management models are valuable tools for faculty pursuing a career in academic medicine. These models help faculty transition through various stages of their careers, including commonly pursued academic advancements from assistant professor to full professor, as well as less common transitions like moving from full-time to part-time status, taking sabbaticals, going on medical leave, or assuming executive leadership roles. The success of faculty members across these stages is influenced by both environmental factors and individual-level characteristics.
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- The study examines gene regulatory changes associated with cancer by analyzing chromatin accessibility across eight different tumor types, revealing the influence of copy number alterations on tumor characteristics.
- Researchers found specific chromatin signatures in cancer that are closely related to healthy cell types, particularly noting similarities between basal-like breast cancer and secretory-type luminal epithelial cells.
- Advanced neural network models highlighted the significance of noncoding mutations near cancer-associated genes, suggesting that widely dispersed mutations in cancer have important functional roles in gene regulation.
Biological soil amendments of animal origin (BSAAOs) are widely used in urban agriculture to improve soil quality. Although BSAAO use is regulated due to risks for introducing foodborne pathogens, effects on antimicrobial-resistant (AMR) bacteria are not well established. Here, we aimed to explore the impacts of BSAAOs on levels of resident AMR bacteria in leafy vegetable production environments (i.
View Article and Find Full Text PDFSubclonal reconstruction algorithms use bulk DNA sequencing data to quantify parameters of tumor evolution, allowing an assessment of how cancers initiate, progress and respond to selective pressures. We launched the ICGC-TCGA (International Cancer Genome Consortium-The Cancer Genome Atlas) DREAM Somatic Mutation Calling Tumor Heterogeneity and Evolution Challenge to benchmark existing subclonal reconstruction algorithms. This 7-year community effort used cloud computing to benchmark 31 subclonal reconstruction algorithms on 51 simulated tumors.
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