Cargando…

Deep multiple instance learning classifies subtissue locations in mass spectrometry images from tissue-level annotations

MOTIVATION: Mass spectrometry imaging (MSI) characterizes the molecular composition of tissues at spatial resolution, and has a strong potential for distinguishing tissue types, or disease states. This can be achieved by supervised classification, which takes as input MSI spectra, and assigns class...

Descripción completa

Detalles Bibliográficos
Autores principales:	Guo, Dan, Föll, Melanie Christine, Volkmann, Veronika, Enderle-Ammour, Kathrin, Bronsert, Peter, Schilling, Oliver, Vitek, Olga
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2020
Materias:	Macromolecular Sequence, Structure, and Function
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355295/ https://www.ncbi.nlm.nih.gov/pubmed/32657378 http://dx.doi.org/10.1093/bioinformatics/btaa436

Ejemplares similares

Benchmarking gene ontology function predictions using negative annotations
por: Warwick Vesztrocy, Alex, et al.
Publicado: (2020)

On the feasibility of deep learning applications using raw mass spectrometry data
por: Cadow, Joris, et al.
Publicado: (2021)

MS2Planner: improved fragmentation spectra coverage in untargeted mass spectrometry by iterative optimized data acquisition
por: Zuo, Zeyuan, et al.
Publicado: (2021)

Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions
por: Yan, Zichao, et al.
Publicado: (2020)

Boosting the accuracy of protein secondary structure prediction through nearest neighbor search and method hybridization
por: Krieger, Spencer, et al.
Publicado: (2020)

BIRD: identifying cell doublets via biallelic expression from single cells
por: Wainer-Katsir, Kerem, et al.
Publicado: (2020)

The locality dilemma of Sankoff-like RNA alignments
por: Müller, Teresa, et al.
Publicado: (2020)

Hopper: a mathematically optimal algorithm for sketching biological data
por: DeMeo, Benjamin, et al.
Publicado: (2020)

LinearPartition: linear-time approximation of RNA folding partition function and base-pairing probabilities
por: Zhang, He, et al.
Publicado: (2020)

A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification
por: Srivastava, Avi, et al.
Publicado: (2020)

The ortholog conjecture revisited: the value of orthologs and paralogs in function prediction
por: Stamboulian, Moses, et al.
Publicado: (2020)

QDeep: distance-based protein model quality estimation by residue-level ensemble error classifications using stacked deep residual neural networks
por: Shuvo, Md Hossain, et al.
Publicado: (2020)

MutCombinator: identification of mutated peptides allowing combinatorial mutations using nucleotide-based graph search
por: Choi, Seunghyuk, et al.
Publicado: (2020)

Cancer mutational signatures representation by large-scale context embedding
por: Zhang, Yang, et al.
Publicado: (2020)

Geometric potentials from deep learning improve prediction of CDR H3 loop structures
por: Ruffolo, Jeffrey A, et al.
Publicado: (2020)

Finding the direct optimal RNA barrier energy and improving pathways with an arbitrary energy model
por: Takizawa, Hiroki, et al.
Publicado: (2020)

Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data
por: Huang, Daiyun, et al.
Publicado: (2021)

EnHiC: learning fine-resolution Hi-C contact maps using a generative adversarial framework
por: Hu, Yangyang, et al.
Publicado: (2021)

TITAN: T-cell receptor specificity prediction with bimodal attention networks
por: Weber, Anna, et al.
Publicado: (2021)

Predicting MHC-peptide binding affinity by differential boundary tree
por: Feng, Peiyuan, et al.
Publicado: (2021)

DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction
por: You, Ronghui, et al.
Publicado: (2021)

CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties
por: Li, Jia-Ning, et al.
Publicado: (2023)

Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function
por: Boadu, Frimpong, et al.
Publicado: (2023)

Getting ‘ϕψχal’ with proteins: minimum message length inference of joint distributions of backbone and sidechain dihedral angles
por: Amarasinghe, Piyumi R, et al.
Publicado: (2023)

A gated graph transformer for protein complex structure quality assessment and its performance in CASP15
por: Chen, Xiao, et al.
Publicado: (2023)

RNAMotifComp: a comprehensive method to analyze and identify structurally similar RNA motif families
por: Rahaman, Md Mahfuzur, et al.
Publicado: (2023)

TSignal: a transformer model for signal peptide prediction
por: Dumitrescu, Alexandru, et al.
Publicado: (2023)

Moving translational mass spectrometry imaging towards transparent and reproducible data analyses: a case study of an urothelial cancer cohort analyzed in the Galaxy framework
por: Föll, Melanie Christine, et al.
Publicado: (2022)

Determination of the Near-Atomic Structure of Non-Purified Oligomeric E. coli Proteins
por: Pichkur, E. B., et al.
Publicado: (2021)

Olfaction: anatomy, physiology and behavior
por: Benignus, Vernon A., et al.
Publicado: (1982)

Mechanisms of Oxidation with Oxygen
por: Taube, Henry
Publicado: (1965)

The Natural History of Oxygen
por: Dole, Malcolm
Publicado: (1965)

A novel method for site-specific chemical SUMOylation: SUMOylation of Hsp90 modulates co-chaperone binding in vitro
por: Wolmarans, Annemarie, et al.
Publicado: (2019)

Paralogue annotation identifies novel pathogenic variants in patients with Brugada syndrome and catecholaminergic polymorphic ventricular tachycardia
por: Walsh, Roddy, et al.
Publicado: (2014)

The differences of the precommissural and postcommissural fornix in the hippocampal location: a diffusion tensor tractography study
por: Jang, Sung Ho, et al.
Publicado: (2017)

Imaging Misdiagnosis Analysis of a Rare Case of Renal Subcapsular Hematoma Located in the Renal Hilum and Collecting Area()
por: Li, Biqiang, et al.
Publicado: (2014)

On-line inverse multiple instance boosting for classifier grids
por: Sternig, Sabine, et al.
Publicado: (2012)

Mask then classify: multi-instance segmentation for surgical instruments
por: Kurmann, Thomas, et al.
Publicado: (2021)

The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST)
por: Overbeek, Ross, et al.
Publicado: (2014)

Classifying and segmenting microscopy images with deep multiple instance learning
por: Kraus, Oren Z., et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_squmi9h614oca4vuk1aei7fv2m