Nature Search

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

A new artificial intelligence model, DeepSeek-R1, is introduced, demonstrating that the reasoning abilities of large language models can be incentivized through pure reinforcement learning, removing the need for human-annotated demonstrations.

Daya Guo
Dejian Yang
Zhen Zhang
ResearchOpen Access17 Sept 2025
Nature

Volume: 645, P: 633-638
A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

Xihao Li
Han Chen
Xihong Lin
Research07 Feb 2025
Nature Computational Science

Volume: 5, P: 125-143
A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies

STAARpipeline is a comprehensive framework for flexible and scalable rare-variant association analysis using whole-genome sequencing data and annotation information.

Zilin Li
Xihao Li
Xihong Lin
Research27 Oct 2022
Nature Methods

Volume: 19, P: 1599-1611
Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale

STAAR is a powerful rare variant association test that incorporates variant functional categories and complementary functional annotations using a dynamic weighting scheme based on annotation principal components. STAAR accounts for population structure and relatedness and is scalable for analyzing large whole-genome sequencing studies.

Xihao Li
Zilin Li
Xihong Lin
Research24 Aug 2020
Nature Genetics

Volume: 52, P: 969-983
Whole genome sequence analysis of blood lipid levels in >66,000 individuals

Although the common genetic variants contributing to blood lipid levels have been studied, the contribution of rare variants is less understood. Here, the authors perform a rare coding and noncoding variant association study of blood lipid levels using whole genome sequencing data.

Margaret Sunitha Selvaraj
Xihao Li
Pradeep Natarajan
ResearchOpen Access11 Oct 2022
Nature Communications

Volume: 13, P: 1-18
Building resilience in Asian mega-deltas

Climate change and human activities are increasing the exposure of deltaic communities to natural hazards. This Review discusses lessons that the Asian mega-deltas can share to develop long-term resilience strategies.

Faith Ka Shun Chan
Amelie Paszkowski
Yong-Guan Zhu
Reviews04 Jun 2024
Nature Reviews Earth & Environment

Volume: 5, P: 522-537
Engineered macrophages as near-infrared light activated drug vectors for chemo-photodynamic therapy of primary and bone metastatic breast cancer

Bone metastases are associated with poor prognosis in patients with breast cancer and limited therapeutic options. Here the authors exploit near-infrared light responsive macrophages for the tumor-selective delivery of oxaliplatin prodrug for chemo-photodynamic therapy of primary and bone metastatic breast cancer.

Yanjuan Huang
Zilin Guan
Chunshun Zhao
ResearchOpen Access14 Jul 2021
Nature Communications

Volume: 12, P: 1-22
Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies

MetaSTAAR enables functionally informed rare variant association analysis in biobank-scale cohorts using an efficient, sparse matrix approach for summary statistic storage.

Xihao Li
Corbin Quick
Xihong Lin
Research23 Dec 2022
Nature Genetics

Volume: 55, P: 154-164
Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data

Analysis of whole-genome sequences of 25,465 individuals of European ancestry shows that rare variants contribute substantially to the heritability of height and body mass index.

Pierrick Wainschtein
Deepti Jain
Peter M. Visscher
Research07 Mar 2022
Nature Genetics

Volume: 54, P: 263-273

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