scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bmcbi/MilanoGTXHVC17 |
P6179 | Dimensions Publication ID | 1085900708 |
P356 | DOI | 10.1186/S12859-017-1635-7 |
P932 | PMC publication ID | 5471963 |
P698 | PubMed publication ID | 28617222 |
P2093 | author name string | Mario Cannataro | |
Pietro Hiram Guzzi | |||
Duan Xu | |||
Pierangelo Veltri | |||
Marianna Milano | |||
Christofer Hess | |||
Olga Tymofieva | |||
P2860 | cites work | Mapping the human connectome | Q42022474 |
Integrative network alignment reveals large regions of global network similarity in yeast and human | Q43467712 | ||
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A human protein-protein interaction network: a resource for annotating the proteome | Q24324450 | ||
Which fMRI clustering gives good brain parcellations? | Q28656459 | ||
Complex brain networks: graph theoretical analysis of structural and functional systems | Q29547868 | ||
Survey of local and global biological network alignment: the need to reconcile the two sides of the same coin | Q30490645 | ||
Brain without anatomy: construction and comparison of fully network-driven structural MRI connectomes | Q33553707 | ||
Magnetic Resonance Imaging and Graph Theoretical Analysis of Complex Brain Networks in Neuropsychiatric Disorders | Q34203123 | ||
AlignNemo: a local network alignment method to integrate homology and topology | Q34311823 | ||
Increased amygdala and insula activation during emotion processing in anxiety-prone subjects | Q34608205 | ||
Natural grouping of neural responses reveals spatially segregated clusters in prearcuate cortex. | Q35197680 | ||
Fair evaluation of global network aligners | Q35700567 | ||
Global network alignment using multiscale spectral signatures | Q36432222 | ||
Graph analysis of the human connectome: promise, progress, and pitfalls | Q38104189 | ||
From the connectome to brain function | Q38122469 | ||
NETAL: a new graph-based method for global alignment of protein-protein interaction networks. | Q38489945 | ||
Improving the Robustness of Local Network Alignment: Design and Extensive Assessment of a Markov Clustering-Based Approach | Q40555191 | ||
P433 | issue | Suppl 6 | |
P921 | main subject | connectome | Q1292103 |
P304 | page(s) | 235 | |
P577 | publication date | 2017-06-06 | |
P1433 | published in | BMC Bioinformatics | Q4835939 |
P1476 | title | An extensive assessment of network alignment algorithms for comparison of brain connectomes | |
P478 | volume | 18 |
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