about
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions.Object-oriented Persistent Homology.Multiresolution persistent homology for excessively large biomolecular datasets.Multiresolution Topological SimplificationBig data in cryoEM: automated collection, processing and accessibility of EM data.Multiscale Gaussian network model (mGNM) and multiscale anisotropic network model (mANM).Using persistent homology and dynamical distances to analyze protein binding.Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening.Multiscale Persistent Functions for Biomolecular Structure Characterization.Sequence-based multiscale modeling for high-throughput chromosome conformation capture (Hi-C) data analysis.
P2860
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P2860
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
@zh-tw
2015年论文
@wuu
name
Multidimensional persistence in biomolecular data
@ast
Multidimensional persistence in biomolecular data
@en
type
label
Multidimensional persistence in biomolecular data
@ast
Multidimensional persistence in biomolecular data
@en
prefLabel
Multidimensional persistence in biomolecular data
@ast
Multidimensional persistence in biomolecular data
@en
P2860
P356
P1476
Multidimensional persistence in biomolecular data
@en
P2093
Guo-Wei Wei
P2860
P304
P356
10.1002/JCC.23953
P50
P577
2015-05-30T00:00:00Z