東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

On the Quantification of Aging = = 衰...

Ying, Kejun,

Linked to FindBook

Google Book

Amazon

博客來

On the Quantification of Aging = = 衰老的量化研究 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	On the Quantification of Aging =/ Kejun Ying.
Reminder of title:	衰老的量化研究 /
Author:	Ying, Kejun,
Description:	1 electronic resource (207 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
Contained By:	Dissertations Abstracts International86-12B.
Subject:	Systematic biology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31997929
ISBN:	9798280720749

On the Quantification of Aging = = 衰老的量化研究 /
Ying, Kejun,

On the Quantification of Aging =衰老的量化研究 /Kejun Ying. - 1 electronic resource (207 pages)

Source: Dissertations Abstracts International, Volume: 86-12, Section: B.

This dissertation explores the complex biological process of aging through multiple methodological lenses, from molecular mechanisms to population-level analyses. As global demographics shift toward an increasingly older population, understanding aging mechanisms and developing interventions to extend healthy lifespan have become critical scientific priorities. Despite chronological age being the strongest risk factor for many diseases, individuals age at different rates, suggesting that chronological age alone is an insufficient measure of biological aging. This research addresses key challenges in aging research through a multifaceted approach combining traditional genetic and epidemiological analyses with advanced computational methods. The dissertation investigates causal relationships between aging and disease, develops causality-enriched epigenetic clocks, examines the role of germline mutations in exceptional longevity, constructs high-dimensional representations of aging, develops foundation models for analyzing complex aging-related data, establishes standardized frameworks for biomarker evaluation, and creates a unified theoretical definition of biological age. By pursuing these objectives, this work aims to contribute significantly to our understanding of the aging process and provide tools and frameworks that can accelerate research in this field.

English

ISBN: 9798280720749Subjects--Topical Terms:

3173492
Systematic biology.
Subjects--Index Terms:

Biomarkers

On the Quantification of Aging = = 衰老的量化研究 /
LDR:03959nmm a22004573i 4500 001 2435203
005 20251001062512.5
006 m o d
007 cr|nu||||||||
008 261011s2025 miu||||||m |||||||eng d
020 $a 9798280720749
035 $a (MiAaPQD)AAI31997929
035 $a AAI31997929
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Ying, Kejun, $e author. $0 (orcid)0000-0002-1791-6176 $3 3825423
245 1 0 $a On the Quantification of Aging = $b 衰老的量化研究 / $c Kejun Ying.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2025
300 $a 1 electronic resource (207 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
500 $a Advisors: Gladyshev, Vadim N.; Manning, Brendan Committee members: Huttenhower, Curtis; Lasky-Su, Jessica; Belsky, Daniel.
502 $b Ph.D. $c Harvard University $d 2025.
520 $a This dissertation explores the complex biological process of aging through multiple methodological lenses, from molecular mechanisms to population-level analyses. As global demographics shift toward an increasingly older population, understanding aging mechanisms and developing interventions to extend healthy lifespan have become critical scientific priorities. Despite chronological age being the strongest risk factor for many diseases, individuals age at different rates, suggesting that chronological age alone is an insufficient measure of biological aging. This research addresses key challenges in aging research through a multifaceted approach combining traditional genetic and epidemiological analyses with advanced computational methods. The dissertation investigates causal relationships between aging and disease, develops causality-enriched epigenetic clocks, examines the role of germline mutations in exceptional longevity, constructs high-dimensional representations of aging, develops foundation models for analyzing complex aging-related data, establishes standardized frameworks for biomarker evaluation, and creates a unified theoretical definition of biological age. By pursuing these objectives, this work aims to contribute significantly to our understanding of the aging process and provide tools and frameworks that can accelerate research in this field.
520 $a 本论文通过多种方法论视角探讨了衰老这一复杂的生物学过程，从分子机制到人群水平分析均有涉及。随着全球人口结构向老龄化方向转变，理解衰老机制并开发延长健康寿命的干预措施已成为关键的科学优先事项。尽管年龄是许多疾病最强的风险因素，但个体衰老速率存在差异，这表明单纯的年龄计量不足以衡量生物学衰老程度。本研究通过结合传统的遗传学和流行病学分析以及先进的计算方法，采用多方位方法应对衰老研究中的关键挑战。论文研究了衰老与疾病之间的因果关系，开发了因果性增强的表观遗传时钟，考察了生殖系突变在特殊长寿中的作用，构建了衰老的高维表征，开发了用于分析复杂衰老相关数据的基础模型，建立了生物标志物评估的标准化框架，并创建了生物学年龄的统一理论定义。通过追求这些目标，本研究旨在为理解衰老过程做出重要贡献，并提供可以加速该领域研究的工具和框架。.
546 $a English
590 $a School code: 0084
650 4 $a Systematic biology. $3 3173492
650 4 $a Aging. $3 543123
650 4 $a Bioinformatics. $3 553671
653 $a Biomarkers
653 $a Genetics
653 $a Machine learning
653 $a Systems biology
690 $a 0423
690 $a 0493
690 $a 0715
690 $a 0800
710 2 $a Harvard University. $b Biological Sciences in Public Health. $e degree granting institution. $3 3825424
720 1 $a Gladyshev, Vadim N. $e degree supervisor.
720 1 $a Manning, Brendan $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-12B.
790 $a 0084
791 $a Ph.D.
792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31997929