CoalNN is a likelihood-free method, based on convolutional neural networks, for the estimation of TMRCAs and allele ages in sequencing, array, and imputed genomic data.
Inference of genealogical relatedness and variant ages using convolutional neural networks. J. Nait Saada, Z. Tsangalidou, M. Stricker, P. F. Palamara. Molecular Biology and Evolution. September 2023. [paper]