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1
Exploration of a novel prognostic model based on nomogram in non-small cell lung cancer patients with distant organ metastasis implications for immunotherapy
Exploration of a novel prognostic model based on nomogram in non-small cell lung cancer patients with distant organ metastasis implications for immunotherapy
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Artigo 		Adicionar ao Meu Espaço

Exploration of a novel prognostic model based on nomogram in non-small cell lung cancer patients with distant organ metastasis implications for immunotherapy

Min Wang Yong Zhang; Mingchuan Liu; Yuanyong Wang; Xiaona Niu; Dan Qiu; Hangtian Xi; Ying Zhou; Ning Chang; Tianqi Xu; Ricardo Mingarini Terra

Translational lung cancer research v. 12, n. 10, 2023

Shatin 2023

Acesso online. A biblioteca também possui exemplares impressos.

2
Microbial and nonvolatile chemical diversities of Chinese dark teas are differed by latitude and pile fermentation
Microbial and nonvolatile chemical diversities of Chinese dark teas are differed by latitude and pile fermentation
Material Type:
Artigo 		Adicionar ao Meu Espaço

Microbial and nonvolatile chemical diversities of Chinese dark teas are differed by latitude and pile fermentation

Ya-Shuai Kong Hong-Yu Ren; Rui Liu; Ricardo Roberto da Silva; Alexander A Aksenov; Alexey V Melnik; Ming Zhao; Miao-Miao Le; Zhi-Wei Ren; Feng-Qing Xu; Xiao-Wei Yan

Journal of Agricultural and Food Chemistry Washington v. 70, n. 18, p. 5701-5714, 2022

Washington 2022

Localização: FMRP - Fac. Medicina de Ribeirão Preto    (pcd 3090829 Acervo Digital )(Acessar)

3
Lessons learned from the NeurIPS 2021 MetaDL challenge backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Lessons learned from the NeurIPS 2021 MetaDL challenge backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Lessons learned from the NeurIPS 2021 MetaDL challenge backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

Adrian El Baz Ihsan Ullah; Edesio Alcobaça; André Carlos Ponce de Leon Ferreira de Carvalho; Hong Chen; Fábio Ferreira; Henry Gouk; Chaoyu Guan; Isabelle Guyon; Timothy Hospedales; Shell Hu; Mike Huisman; Frank Hutter; Zhengying Liu; Felix Mohr; Ekrem Öztürk; Jan N. van Rijn; Haozhe Sun; Xin Wang; Wenwu Zhu; Conference on Neural Information Processing Systems - NeurIPS (35. 2021 Online); NeurIPS 2021 Competitions and Demonstrations Track (2021 Online)

Proceedings of Machine Learning Research : PMLR Brookline : Microtome Publishing v. 176, p. 80-96, 2022

Brookline Microtome Publishing 2022

Acesso online. A biblioteca também possui exemplares impressos.

4
Insulin-stimulated endoproteolytic TUG cleavage links energy expenditure with glucose uptake
Insulin-stimulated endoproteolytic TUG cleavage links energy expenditure with glucose uptake
Material Type:
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Insulin-stimulated endoproteolytic TUG cleavage links energy expenditure with glucose uptake

Estifanos N. Habtemichael Don T Li; João Paulo Gabriel Camporez; Xavier O Westergaard; Chloe I Sales; Xinran Liu; Francesc López-Giráldez; Stephen G DeVries; Hanbing Li; Diana M Ruiz; Kenny Y Wang; Bhavesh S Sayal; Sofia González Zapata; Pamela Dann; Stacey N Brown; Sandro Hirabara; Daniel F Vatner; Leigh Goedeke; William Philbrick; Gerald I Shulman; Jonathan S Bogan

Nature Metabolism London v. 3, n. 3, p. 378-393, 2021

London 2021

Localização: FMRP - Fac. Medicina de Ribeirão Preto    (pcd 3096588 Acervo Digital )(Acessar)

5
Vascular contributions to 16p11.2 deletion autism syndrome modeled in mice
Vascular contributions to 16p11.2 deletion autism syndrome modeled in mice
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Vascular contributions to 16p11.2 deletion autism syndrome modeled in mice

Julie Ouellette Xavier Toussay; Cesar Henrique Comin; Luciano da Fontoura Costa; Mirabelle Ho; María Lacalle-Aurioles; Moises Freitas-Andrade; Qing Yan Liu; Sonia Leclerc; Youlian Pan; Ziying Liu; Jean-François Thibodeau; Melissa Yin; Micael Carrier; Cameron J Morse; Peter Van Dyken; Christopher J Bergin; Sylvain Baillet; Christopher R Kennedy; Marie-Ève Tremblay; Yannick D Benoit; William L Stanford; Dylan Burger; Duncan J Stewart; Baptiste Lacoste

Nature Neuroscience New York : Nature v. 23, p. 1090-1101, Sept. 2020

New York 2020

Localização: IFSC - Inst. Física de São Carlos    (PROD030477 )(Acessar)

6
Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale
Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale
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Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale

Xihao Li Zilin Li; Hufeng Zhou; Sheila M Gaynor; Yaowu Liu; Han Chen; Ryan Sun; Rounak Dey; Donna K Arnett; Ester Cerdeira Sabino

Nature genetics v. 52, n. 9, p. 969-+, 2020

New York 2020

Acesso online. A biblioteca também possui exemplares impressos.

7
A study of high-grade serous ovarian cancer origins implicates the SOX18 transcription factor in tumor development
A study of high-grade serous ovarian cancer origins implicates the SOX18 transcription factor in tumor development
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A study of high-grade serous ovarian cancer origins implicates the SOX18 transcription factor in tumor development

Kate Lawrenson Marcos A. S Fonseca; Annie Y Liu; Felipe Segato Dezem; Janet M Lee; Xianzhi Lin; Rosario I Corona; Forough Abbasi; Kevin C Vavra; Huy Q Dinh; Navjot Kaur Gill; Houtan Noushmehr

Cell Reports Cambridge v. 29, n. 11, p. 3726-3735.e1-e4, 2019

Cambridge 2019

Localização: FMRP - Fac. Medicina de Ribeirão Preto    (pcd 3026806 Acervo Digital )(Acessar)

8
Pan-cancer transcription factor analyses identify ZNF217 as a novel driver in HGSOC
Pan-cancer transcription factor analyses identify ZNF217 as a novel driver in HGSOC
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Pan-cancer transcription factor analyses identify ZNF217 as a novel driver in HGSOC

Robbin Nameki Marcos A. S Fonseca; Jessica Reddy; Kevin C Vavra; Felipe Segato; Rosario I Corona; Ji-Heui Seo; Annie Liu; Forough Abbasi; Xianzhi Lin; Beth Y Karlan; Matthew L Freedman; Simon A Gayther; Houtan Noushmehr; Kate Lawrenson; Biennial Ovarian Cancer Research Symposium (12. 2018 Seattle)

Clinical Cancer Research Philadelphia v. 25, n. 22, suppl., res. GMM-042, 2019

Philadelphia 2019

Localização: FMRP - Fac. Medicina de Ribeirão Preto    (pcd 3000325 Estantes Deslizantes )(Acessar)

9
Genomic and functional approaches to understanding cancer aneuploidy
Genomic and functional approaches to understanding cancer aneuploidy
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Genomic and functional approaches to understanding cancer aneuploidy

Alison M. Taylor Juliann Shih; Gavin Ha; Galen F Gao; Xiaoyang Zhang; Ashton C Berger; Steven E Schumacher; Chen Wang; Hai Hu; Jianfang Liu; Alexander J Lazar; Andrew D Cherniack; Rameen Beroukhim; Matthew Meyerson; Carlos Gilberto Carlotti Júnior; José Sebastião dos Santos; Rafael Kemp; Ajith Kumar Sankarankuty; Daniela Pretti da Cunha Tirapelli; The Cancer Genome Atlas Research Network

Cancer Cell Cambridge v. 33, n. 4, p. 676-689, 2018

Cambridge 2018

Localização: FMRP - Fac. Medicina de Ribeirão Preto    (pcd 2937442 Estantes Deslizantes )(Acessar)

10
A comprehensive pan-cancer molecular study of gynecologic and breast cancers
A comprehensive pan-cancer molecular study of gynecologic and breast cancers
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A comprehensive pan-cancer molecular study of gynecologic and breast cancers

Ashton C. Berger Anil Korkut; Rupa S Kanchi; Apurva M Hegde; Walter Lenoir; Wenbin Liu; Yuexin Liu; Huihui Fan; Hui Shen; Visweswaran Ravikumar; Arvind Rao; Andre Schultz; Xubin Li; Pavel Sumazin; Cecilia Williams; Pieter Mestdagh; Preethi H Gunaratne; Christina Yau; Reanne Bowlby; Daniel Guimarães Tiezzi; Chen Wang; Andrew D Cherniack; Andrew K Godwin; Nicole M Kuderer; Janet S Rader; Rosemary E Zuna; Anil K Sood; Alexander J Lazar; Akinyemi I Ojesina; Clement Adebamowo; Sally N Adebamowo; Keith A Baggerly; Ting-Wen Chen; Hua-Sheng Chiu; Steve Lefever; Liang Liu; Karen MacKenzie; Sandra Orsulic; Jason Roszik; Carl Simon Shelley; Qianqian Song; Christopher P Vellano; Nicolas Wentzensen; John N Weinstein; Gordon B Mills; Douglas A Levine; Rehan Akbani; Carlos Gilberto Carlotti Júnior; José Sebastião dos Santos; Rafael Kemp; Ajith Kumar Sankarankuty; Daniela Pretti da Cunha Tirapelli; The Cancer Genome Atlas Research Network

Cancer Cell Cambridge v. 33, n. 4, p. 690-705, 2018

Cambridge 2018

Localização: FMRP - Fac. Medicina de Ribeirão Preto    (pcd 2937568 Estantes Deslizantes )(Acessar)

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Deste Autor:

  1. Liu, X
  2. Delfim Netto, A
  3. Chen, X
  4. Cardoso, M
  5. Liu, C

Neste Assunto:

  1. Economia
  2. Fibra Óptica
  3. Genomas
  4. Cardiologia
  5. Sensor

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.