Ziqi Tang

Cold Spring Harbor Laboratory — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

7h-index210citations21works10.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Genomics and Chromatin Dynamics(12), RNA and protein synthesis mechanisms(7), Morphological variations and asymmetry(4), Genomics and Phylogenetic Studies(3), Epigenetics and DNA Methylation(3)

Publications21 total

Uncertainty-aware genomic deep learning with knowledge distillation
npj Artificial Intelligence·2026Open Access
A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction
2025· 3 citedOpen Access
Annotating the genome at single-nucleotide resolution with DNA foundation models
Nature Methods·2025· 3 citedOpen Access
Evaluating the representational power of pre-trained DNA language models for regulatory genomics
Genome biology·2025· 14 citedOpen Access
Uncertainty-aware genomic deep learning with knowledge distillation
2024· 7 citedOpen Access
Designing DNA With Tunable Regulatory Activity Using Score-Entropy Discrete Diffusion
2024· 19 citedOpen Access
Evaluating the representational power of pre-trained DNA language models for regulatory genomics
2024· 24 citedOpen Access
Current approaches to genomic deep learning struggle to fully capture human genetic variation
Nature Genetics·2023· 18 citedOpen Access
Current large language models lack foundations in the regulatory genome
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations
Genome biology·2023· 33 citedOpen Access
Evaluating deep learning for predicting epigenomic profiles
Nature Machine Intelligence·2022· 66 citedOpen Access
Learning single-cell chromatin accessibility profiles using meta-analytic marker genes
Briefings in Bioinformatics·2022· 4 citedOpen Access
EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations
2022· 2 citedOpen Access
EvoAug Model Weights
2022Open Access
EvoAug Model Weights and Code
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
EvoAug Data
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
EvoAug Model Weights and Code
2022Open Access
EvoAug Data
2022· 1 citedOpen Access
EvoAug Model Weights
2022Open Access
Evaluating deep learning for predicting epigenomic profiles
2022· 15 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Peter K. Koo(20), Shushan Toneyan(11), Nicholas Keone Lee(8), Chandana Rajesh(3), Nikunj V. Somia(2), Yiyang Yu(2), Jessica Zhou(2), Kaeli Rizzo(2), Risa Karakida Kawaguchi(2), Stephan Fischer(2), Rohit Tripathy(2), Jesse Gillis(2), David Emms(2), Alexandre Laterre(2), Karim Beguir(2), Bernardo P. de Almeida(2), Thomas Pierrot(2), Anirban Sarkar(1), Chris Zhao(1), Sam Boshar(1)