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"Show me the data!" Practical solutions to interactive visual analysis for big data.
18 Sep 2015 | Contributor(s): Samuel Payne
Nano WG September 10, 2015.Intuitive data visualization is critical for biomedical data analysis; especially essential is the ability for non-computational scientists to productively browse the data and apply their domain knowledge. We present Active Data Biology, a web-based visual...
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Accelerating Nanotech Innovations Through a Safer-By-Design Approach, Safer Nanomaterials School
14 May 2019 | Contributor(s): Philippe Sabatier
Nano WG May 9, 2019European Scientific Institute (ESI) Safer Nanomaterials School Introduction.
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Baylor Residual breast cancer
13 Nov 2014 | Downloads | Contributor(s): Creighton C, Lewis M, Chang J, Jonathan Bistline
Residual breast cancers after conventional therapy display mesenchymal as tumor-initiating features. There are four (4) files included in this study: Sample Annotation (combined_sample_annotation.txt) Gene expression data from CD44+/CD24- cells sorted by flow cytometry (GSE7513.gct) Human...
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Breast Cancer Crossword
20 Nov 2015 | Teaching Materials | Contributor(s): Katelyn Schifano
This crossword is designed for use in social media as well as patient waiting areas.
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caNanoLab: data sharing to expedite the use of nanotechnology in biomedicine
13 Dec 2013 | Publications | Contributor(s): Sharon Gaheen, George W Hinkal, Stephanie A Morris, Michal Lijowski, Mervi Heiskanen, Juli Klemm
The use of nanotechnology in biomedicine involves the engineering of nanomaterials to act as therapeutic carriers, targeting agents and diagnostic imaging devices. The application of nanotechnology in cancer aims to transform early detection, targeted therapeutics and cancer prevention and...
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Development of natural language processing tools for nanoparticle design
05 Mar 2019 | Presentations | Contributor(s): Nastassja Lewinski
Nano WG February 28, 2019: In this presentation, an introduction to the application of natural language processing techniques to nanotechnology data will be discussed. Natural language processing tools can aid in the automatic categorization, extraction, and analysis of data from...
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Development of Targeted Nanomedicines via Machine Learning Processes
05 Mar 2019 | Presentations | Contributor(s): Daniel Heller
Nano WG February 21, 2019Description: We are using data science to facilitate the development of nanoparticle drugs incorporating kinase inhibitors with diverse chemical structures. Doing this work inspired us to bring together the nanoinformatics community...
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Development of Targeted Nanomedicines via Machine Learning Processes
05 Mar 2019 | Presentations | Contributor(s): Daniel Heller
Nano WG February 21, 2019Description: We are using data science to facilitate the development of nanoparticle drugs incorporating kinase inhibitors with diverse chemical structures. Doing this work inspired us to bring together the nanoinformatics community...
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Experimental Information Extraction from Nanocrystal Device Development Research Papers
24 Jun 2016 | Presentations | Contributor(s): Thaer Dieb
Nano WG weekly meeting: Dr. Thaer M. Dieb, National Institute for Material Science, Graduate School of Frontier Sciences, University of Tokyo Seminar on development of an annotated corpus for nanocrystal device research papers and automatic information extraction framework...
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Integrated analysis of breast cancer cell lines reveals unique signaling pathways
16 Sep 2014 | Publications | Contributor(s): Laura M Heiser, Nicholas J Wang, Carolyn L Talcott, Keith R Laderoute, Merrill Knapp, Yinghui Guan, Zhi Hu, Safiyyah Ziyad, Barbara L Weber, Sylvie Laquerre, Jeffrey R Jackson, Richard F Wooster, Wen Lin Kuo, Joe W Gray, Paul T Spellman
AbstractBackgroundCancer is a heterogeneous disease resulting from the accumulation of genetic defects that negatively impact control of cell division, motility, adhesion and apoptosis. Deregulation in signaling along the EgfR-MAPK pathway is common in breast cancer, though the manner in which...
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Integrative Cancer Biology Program Datasets
26 Apr 2016 | Series | Contributor(s): Jonathan Bistline, Michael Reich
The NCI-ICBP promotes an integrative/systems approach to the study of cancer biology. The Program encourages scientists to study cancer as a complex biological system. Information gained from these studies are used to build reliable and testable predictive computation models of cancer processes...
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LBL ICBP50 integrative genomic data
13 Nov 2014 | Downloads | Contributor(s): Joe Gray, Jonathan Bistline
From Joe Gray, Lawrence Berkeley National Laboratory. There are seventeen (17) files in this study: Affymetrix U133A gene expression data (icbp_u133a.gct) Affymetrix U133A gene expression data (ICBP_U133a.zip) Affymetrix splice junction exon-exon data (ICBP_Junction.zip) Affymetrix...
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Medicine & AI
05 May 2022 | Publications | Contributor(s): Simran Joshi
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NCI Alliance for Nanotechnology in Cancer, and caNanoLab: A Data Repository for Cancer Nanomedicines
27 Nov 2018 | Presentations | Contributor(s): Luisa Russell, Mervi Heiskanen
Nano WG presentation November15, 2018 NCI Alliance for Nanotechnology in Cancer –Structure–Achievements–Scientific FocuscaNanoLab–Intro to Platform–Data Curation–User Statistics–Future Directions
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Overview of the NCI Cancer Research Data Commons, Genomic Data Commons (GDC), and NCI Cloud Resources
07 Jun 2018 | Presentations | Contributor(s): Tanja Davidsen, Mervi Heiskanen
Nano WG presentation, June 7, 2018 by Tanja Davidsen, NCI CBIIT The Cancer Research Data Commons (CRDC) and NCI Cloud Resources overview.
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Screening for Small Molecules: Target Discovery Against miRNAs for Breast Cancer Treatment
18 Aug 2015 | Presentations | Contributor(s): Odemaris Narvaez del Pilar
Breast cancer is one of the leading causes of cancer related deaths and morbidity among women worldwide. Identifying new targets and developing new therapies is very important in order to improve patient outcomes and minimize this health burden. MicroRNAs, a type of non-coding RNA, are potential...
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Summarization of Big Data
07 Nov 2014 | Presentations | Contributor(s): Jeffrey A. Blimes
All about assay selection...