Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer. - Wikidata - awgldk - TriplyDB

Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer.

Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer.

http://www.wikidata.org/entity/Q30660858

about

Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method Evaluating New Ways of Working Collectively in Science with a Focus on Crowdsourcing.A walk in the park: Is Pokémon Go foreshadowing the future of biodiversity research and scientific outreach?High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd.Crowdsourcing for translational research: analysis of biomarker expression using cancer microarrays.The application of crowdsourcing approaches to cancer research: a systematic review.Applications of crowdsourcing in health: an overview.A Review on the Applications of Crowdsourcing in Human Pathology.Mapping of Crowdsourcing in Health: Systematic Review.Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle study.Science and technology convergence: with emphasis for nanotechnology-inspired convergence "Big data" in economic history

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P2860

Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer.

http://www.wikidata.org/entity/Q30660858

description

2015 nî lūn-bûn

@nan

2015 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

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2015年论文

@wuu

name

Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer.

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Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer.

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type

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J.EBIOM.2015.05.009

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P1476

Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer.

@en

P2093

Amber R Holmes

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Amy F M Carton

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Andy M Paterson

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Bin Liu

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Elena Provenzano

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H Raza Ali

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Janette P McQuillan

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Joanna M Owens

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P2860

Phylo: a citizen science approach for improving multiple sequence alignment.

Predicting protein structures with a multiplayer online game

How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory

Tissue microarrays for high-throughput molecular profiling of tumor specimens

Lights, camera…citizen science: assessing the effectiveness of smartphone-based video training in invasive plant identification.

Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies

Assessment of automated image analysis of breast cancer tissue microarrays for epidemiologic studies.

Comparison of methods for handling missing data on immunohistochemical markers in survival analysis of breast cancer

Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer.

A rapid and efficient method for testing immunohistochemical reactivity of monoclonal antibodies against multiple tissue samples simultaneously.

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681-689

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scholarly article

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10.1016/J.EBIOM.2015.05.009

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7

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2

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Montserrat García-Closas

Hermann Brenner

Caroline Seynaeve

Marjanka K Schmidt

Francisco Jose Candido Dos Reis

Andrew M. Hanby

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2015-05-09T00:00:00Z

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