activity
20122020
most citedLAI-Net: Local-Ancestry Inference with Neural Networks

26 citations · 40 across the 5 of their papers we have counts for

collaborators

8 papers

q-bio.GN2020

Diversity in immunogenomics: the value and the challenge

Kerui Peng, Yana Safonova, Mikhail Shugay +32

With the advent of high-throughput sequencing technologies, the fields of immunogenomics and adaptive immune receptor repertoire research are facing both opportunities and challeng…

q-bio.GN2020

Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm

Daniel Mas Montserrat, Arvind Kumar, Carlos Bustamante +1

With declining sequencing costs a promising and affordable tool is emerging in cancer diagnostics: genomics. By using association studies, genomic variants that predispose patients…

q-bio.GN202026 cited

LAI-Net: Local-Ancestry Inference with Neural Networks

Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis

Local-ancestry inference (LAI), also referred to as ancestry deconvolution, provides high-resolution ancestry estimation along the human genome. In both research and industry, LAI…

q-bio.GN201912 cited

Class-Conditional VAE-GAN for Local-Ancestry Simulation

Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis

Local ancestry inference (LAI) allows identification of the ancestry of all chromosomal segments in admixed individuals, and it is a critical step in the analysis of human genomes…

cs.CL20191 cited

LitGen: Genetic Literature Recommendation Guided by Human Explanations

Allen Nie, Arturo L. Pineda, Matt W. Wright Hannah Wand +5

As genetic sequencing costs decrease, the lack of clinical interpretation of variants has become the bottleneck in using genetics data. A major rate limiting step in clinical inter…

cs.CL2018

DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain

Allen Nie, Ashley Zehnder, Rodney L. Page +4

Large scale veterinary clinical records can become a powerful resource for patient care and research. However, clinicians lack the time and resource to annotate patient records wit…