Anjali Goswami

The paper introduces an Empirical Bayes framework for analyzing high-dimensional trait evolution, showing it is faster and more efficient than existing methods.

This paper introduces P3CA, a probabilistic and phylogenetic PCA method for high-dimensional trait evolution, showing improved accuracy in parameter estimation and missing data reconstruction.

This study quantifies postcranial skeletal shape variation in dogs, finding extreme disparity in Dachshunds and no significant link between bone shape and body mass or age.

This study compares landmark-free morphometric methods with traditional geometric morphometrics across 322 mammals, showing landmark-free approaches better differentiate taxonomic groups.

This study reconstructs the evolutionary changes in tetrapod mandible structure across 3047 species, finding rapid canalization of jaw morphology at key clades and a decrease in compositional disparity over time.

This study examines the morphological and mechanical diversity of pelagiarian fish mandibles, finding that habitat depth and tooth type correlate with jaw shape, while mechanical advantage varies independently.

SPROUT provides a user-friendly segmentation framework for volumetric images, achieving high-quality results with less manual input than supervised models.

This paper introduces a geometric morphometrics-based method to quantify structural variants in chromosomes using conserved DNA sequences, demonstrating its application across species and evolutionary scales.

This study determines the minimum number of training images needed for accurate 3D feature extraction using deep learning and evaluates the effectiveness of data augmentation.

This study examines evolutionary trends in tetrapod mandibles, finding that neither Willistons law of simplification nor Dollos law of irreversibility holds, as jaw complexity and component gains/losses are not consistently decreasing or irreversible.