DiSWOP: a novel measure for cell-level protein network analysis in localized proteomics image data. - Wikidata - awgldk - TriplyDB

DiSWOP: a novel measure for cell-level protein network analysis in localized proteomics image data.

DiSWOP: a novel measure for cell-level protein network analysis in localized proteomics image data.

http://www.wikidata.org/entity/Q30700969

about

MIC as an appropriate method to construct the brain functional network Advances in toponomics drug discovery: Imaging cycler microscopy correctly predicts a therapy method of amyotrophic lateral sclerosis.Automated Analysis and Classification of Histological Tissue Features by Multi-Dimensional Microscopic Molecular Profiling.Subcellular protein expression models for microsatellite instability in colorectal adenocarcinoma tissue images Robust normalization protocols for multiplexed fluorescence bioimage analysis.Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review Characterizing the heterogeneity of tumor tissues from spatially resolved molecular measures.

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P2860

DiSWOP: a novel measure for cell-level protein network analysis in localized proteomics image data.

http://www.wikidata.org/entity/Q30700969

description

2013 nî lūn-bûn

@nan

2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի նոյեմբերին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年論文

@yue

2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

@zh-mo

2013年論文

@zh-tw

2013年论文

@wuu

name

DiSWOP: a novel measure for ce ...... calized proteomics image data.

@ast

DiSWOP: a novel measure for ce ...... calized proteomics image data.

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type

label

DiSWOP: a novel measure for ce ...... calized proteomics image data.

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DiSWOP: a novel measure for ce ...... calized proteomics image data.

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prefLabel

DiSWOP: a novel measure for ce ...... calized proteomics image data.

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DiSWOP: a novel measure for ce ...... calized proteomics image data.

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DiSWOP: a novel measure for ce ...... calized proteomics image data.

@en

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Adnan M Khan

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David B A Epstein

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Michael Khan

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Violeta N Kovacheva

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P2860

Single-cell Raman and fluorescence microscopy reveal the association of lipid bodies with phagosomes in leukocytes.

Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics

Clustering by passing messages between data points.

Large-scale data exploration with the hierarchically growing hyperbolic SOM.

MALDI imaging mass spectrometry: molecular snapshots of biochemical systems.

On the origin of cell functions encoded in the toponome.

On Brownian Distance Covariance and High Dimensional Data

Detecting novel associations in large data sets.

Toponome imaging system: in situ protein network mapping in normal and cancerous colon from the same patient reveals more than five-thousand cancer specific protein clusters and their subcellular annotation by using a three symbol code.

RAMTaB: robust alignment of multi-tag bioimages.

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420-427

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scholarly article

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10.1093/BIOINFORMATICS/BTT676

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3

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30

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Nasir M. Rajpoot

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2013-11-21T00:00:00Z

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258856875

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24273247

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