P. Descombes

Rank-based deep learning from citizen-science data to model plant communities

The paper uses deep learning to model plant species distributions and community composition from citizen-science data, showing improved accuracy over traditional methods.

Leaf metabolic traits reveal hidden dimensions of plant form and function

The paper analyzes leaf metabolome variation across plant species to identify metabolic functional traits that reveal new dimensions of plant form and function.

Strategies for sampling pseudo-absences for species distribution models in complex mountainous terrain

This study evaluates pseudo-absence strategies for species distribution models in complex mountainous terrain, finding that generic and species-specific approaches can produce robust predictions, with environmental stratification improving performance in biased datasets.

Compound- and fiber type-selective requirement of AMPKγ3 for insulin-independent glucose uptake in skeletal muscle

This study shows that AMPKγ3 is essential for AICAR-induced glucose clearance and uptake in glycolytic muscle but not for ADaM drug-induced effects or adipose thermogenesis.

In Vivo Transcriptomic Profiling using Cell Encapsulation Identifies Effector Pathways of Systemic Aging

This study uses cell encapsulation to profile systemic aging in vivo and identifies Myc and E2F activation, senescence, and suppressed myogenic differentiation as key pathways.