Machine Learning to Unravel Anti-Ageing Compounds
机器学习揭示抗衰老化合物
基本信息
- 批准号:BB/V007971/1
- 负责人:
- 金额:$ 42.94万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2021
- 资助国家:英国
- 起止时间:2021 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
目前GtR中并没有所有资助研究的摘要。这通常是因为在提交提案时不需要摘要,但也可能是因为摘要中包含个人详细信息等敏感信息。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features.
- DOI:10.18632/aging.204866
- 发表时间:2023-07-13
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Predicting Lifespan-Extending Chemical Compounds with Machine Learning and Biologically Interpretable Features
- DOI:10.1101/2022.11.20.517230
- 发表时间:2022-11
- 期刊:
- 影响因子:0
- 作者:Caio Ribeiro;Christopher K. Farmer;J. de Magalhães;A. Freitas
- 通讯作者:Caio Ribeiro;Christopher K. Farmer;J. de Magalhães;A. Freitas
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Alex Freitas其他文献
11th German Conference on Chemoinformatics (GCC 2015)
- DOI:
10.1186/s13321-016-0119-5 - 发表时间:
2016-04-01 - 期刊:
- 影响因子:5.700
- 作者:
Uli Fechner;Chris de Graaf;Andrew E. Torda;Stefan Güssregen;Andreas Evers;Hans Matter;Gerhard Hessler;Nicola J. Richmond;Peter Schmidtke;Marwin H. S. Segler;Mark P. Waller;Stefanie Pleik;Joan-Emma Shea;Zachary Levine;Ryan Mullen;Karina van den Broek;Matthias Epple;Hubert Kuhn;Andreas Truszkowski;Achim Zielesny;Johannes (Hans) Fraaije;Ruben Serral Gracia;Stefan M. Kast;Krishna C. Bulusu;Andreas Bender;Abraham Yosipof;Oren Nahum;Hanoch Senderowitz;Timo Krotzky;Robert Schulz;Gerhard Wolber;Stefan Bietz;Matthias Rarey;Markus O. Zimmermann;Andreas Lange;Manuel Ruff;Johannes Heidrich;Ionut Onlia;Thomas E. Exner;Frank M. Boeckler;Marcel Bermudez;Dzmitry S. Firaha;Oldamur Hollóczki;Barbara Kirchner;Christofer S. Tautermann;Andrea Volkamer;Sameh Eid;Samo Turk;Friedrich Rippmann;Simone Fulle;Noureldin Saleh;Giorgio Saladino;Francesco L. Gervasio;Elke Haensele;Lee Banting;David C. Whitley;Jana Sopkova-de Oliveira Santos;Ronan Bureau;Timothy Clark;Achim Sandmann;Harald Lanig;Patrick Kibies;Jochen Heil;Franziska Hoffgaard;Roland Frach;Julian Engel;Steven Smith;Debjit Basu;Daniel Rauh;Oliver Kohlbacher;Frank M. Boeckler;Jonathan W. Essex;Michael S. Bodnarchuk;Gregory A. Ross;Arndt R. Finkelmann;Andreas H. Göller;Gisbert Schneider;Tamara Husch;Christoph Schütter;Andrea Balducci;Martin Korth;Fidele Ntie-Kang;Stefan Günther;Wolfgang Sippl;Luc Meva’a Mbaze;Fidele Ntie-Kang;Conrad V. Simoben;Lydia L. Lifongo;Fidele Ntie-Kang;Philip Judson;Jiří Barilla;Miloš V. Lokajíček;Hana Pisaková;Pavel Simr;Natalia Kireeva;Alexandre Petrov;Denis Ostroumov;Vitaly P. Solovev;Vladislav S. Pervov;Nils-Ole Friedrich;Kai Sommer;Matthias Rarey;Johannes Kirchmair;Eugen Proschak;Julia Weber;Daniel Moser;Lena Kalinowski;Janosch Achenbach;Mark Mackey;Tim Cheeseright;Gerrit Renner;Gerrit Renner;Torsten C. Schmidt;Jürgen Schram;Marion Egelkraut-Holtus;Albert van Oeyen;Tuomo Kalliokoski;Denis Fourches;Akachukwu Ibezim;Chika J. Mbah;Umale M. Adikwu;Ngozi J. Nwodo;Alexander Steudle;Brian B. Masek;Stephan Nagy;David Baker;Fred Soltanshahi;Roman Dorfman;Karen Dubrucq;Hitesh Patel;Oliver Koch;Florian Mrugalla;Stefan M. Kast;Qurrat U. Ain;Julian E. Fuchs;Robert M. Owen;Kiyoyuki Omoto;Rubben Torella;David C. Pryde;Robert Glen;Andreas Bender;Petr Hošek;Vojtěch Spiwok;Lewis H. Mervin;Ian Barrett;Mike Firth;David C. Murray;Lisa McWilliams;Qing Cao;Ola Engkvist;Dawid Warszycki;Marek Śmieja;Andrzej J. Bojarski;Natalia Aniceto;Alex Freitas;Taravat Ghafourian;Guido Herrmann;Valentina Eigner-Pitto;Alexandra Naß;Rafał Kurczab;Andrzej J. Bojarski;Andreas Lange;Marcel B. Günther;Susanne Hennig;Felix M. Büttner;Christoph Schall;Adrian Sievers-Engler;Francesco Ansideri;Pierre Koch;Thilo Stehle;Stefan Laufer;Frank M. Böckler;Barbara Zdrazil;Floriane Montanari;Gerhard F. Ecker;Christoph Grebner;Anders Hogner;Johan Ulander;Karl Edman;Victor Guallar;Christian Tyrchan;Johan Ulander;Christian Tyrchan;Wolfgang Klute;Fredrik Bergström;Christian Kramer;Quoc Dat Nguyen;Roland Frach;Patrick Kibies;Steven Strohfeldt;Saraphina Böttcher;Tim Pongratz;Dominik Horinek;Stefan M. Kast;Bernd Rupp;Raed Al-Yamori;Michael Lisurek;Ronald Kühne;Filipe Furtado;Karina van den Broek;Ludger Wessjohann;Miriam Mathea;Knut Baumann;Siti Zuraidah Mohamad-Zobir;Xianjun Fu;Tai-Ping Fan;Andreas Bender;Maximilian A. Kuhn;Christoph A. Sotriffer;Azedine Zoufir;Xitong Li;Lewis Mervin;Ellen Berg;Mark Polokoff;Wolf D. Ihlenfeldt;Wolf D. Ihlenfeldt;Jette Pretzel;Zayan Alhalabi;Robert Fraczkiewicz;Marvin Waldman;Robert D. Clark;Neem Shaikh;Prabha Garg;Alexander Kos;Hans-Jürgen Himmler;Achim Sandmann;Christophe Jardin;Heinrich Sticht;Thomas B. Steinbrecher;Markus Dahlgren;Daniel Cappel;Teng Lin;Lingle Wang;Goran Krilov;Robert Abel;Richard Friesner;Woody Sherman;Ina A. Pöhner;Joanna Panecka;Rebecca C. Wade;Stefan Bietz;Karen T. Schomburg;Matthias Hilbig;Matthias Rarey;Christian Jäger;Vivien Wieczorek;Lance M. Westerhoff;Oleg Y. Borbulevych;Hans-Ulrich Demuth;Mirko Buchholz;Denis Schmidt;Thomas Rickmeyer;Timo Krotzky;Peter Kolb;Sumit Mittal;Elsa Sánchez-García;Mauro S. Nogueira;Tiago B. Oliveira;Fernando B. da Costa;Thomas J. Schmidt - 通讯作者:
Thomas J. Schmidt
Machine learning methods applied to risk adjustment of cumulative sum chart methodology to audit free flap outcomes after head and neck surgery.
机器学习方法应用于累积总和图方法的风险调整,以审核头颈手术后游离皮瓣的结果。
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:1.8
- 作者:
D. Tighe;J. McMahon;C. Schilling;M. Ho;Simon Provost;Alex Freitas - 通讯作者:
Alex Freitas
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms
公平特征选择:多目标遗传算法的比较
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
James Brookhouse;Alex Freitas - 通讯作者:
Alex Freitas
Advancements and challenges in using AI for biomarker detection in early Alzheimer’s disease
在将人工智能用于早期阿尔茨海默病生物标志物检测方面的进展与挑战
- DOI:
10.1016/j.drudis.2025.104415 - 发表时间:
2025-07-01 - 期刊:
- 影响因子:7.500
- 作者:
Iman Beheshti;Benedict C. Albensi;Alex Freitas;Taravat Ghafourian - 通讯作者:
Taravat Ghafourian
Alex Freitas的其他文献
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{{ truncateString('Alex Freitas', 18)}}的其他基金
Predicting the Volume of Distribution of Drugs and Toxicants with Data Mining Methods
用数据挖掘方法预测药物和毒物的分布量
- 批准号:
EP/K004948/1 - 财政年份:2013
- 资助金额:
$ 42.94万 - 项目类别:
Research Grant
A Synergistic Integration of Natural and Artificial Immunology for the Prediction of Hierarchical Protein Functions
自然免疫学和人工免疫学的协同整合用于预测分层蛋白质功能
- 批准号:
EP/D501377/1 - 财政年份:2006
- 资助金额:
$ 42.94万 - 项目类别:
Research Grant
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