Cargando…

NeuMapper: A scalable computational framework for multiscale exploration of the brain’s dynamical organization

For better translational outcomes, researchers and clinicians alike demand novel tools to distill complex neuroimaging data into simple yet behaviorally relevant representations at the single-participant level. Recently, the Mapper approach from topological data analysis (TDA) has been successfully...

Descripción completa

Detalles Bibliográficos
Autores principales:	Geniesse, Caleb, Chowdhury, Samir, Saggar, Manish
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MIT Press 2022
Materias:	Methods
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207992/ https://www.ncbi.nlm.nih.gov/pubmed/35733428 http://dx.doi.org/10.1162/netn_a_00229

Ejemplares similares

Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data
por: Haşegan, Daniel, et al.
Publicado: (2023)

Generating dynamical neuroimaging spatiotemporal representations (DyNeuSR) using topological data analysis
por: Geniesse, Caleb, et al.
Publicado: (2019)

Temporal Mapper: Transition networks in simulated and real neural dynamics
por: Zhang, Mengsen, et al.
Publicado: (2023)

PASCAR: a multiscale framework to explore the design space of constitutive and inducible CAR T cells
por: Rajakaruna, Harshana, et al.
Publicado: (2023)

BatMeth: improved mapper for bisulfite sequencing reads on DNA methylation
por: Lim, Jing-Quan, et al.
Publicado: (2012)

CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell types
por: Nelms, Bradlee D., et al.
Publicado: (2016)

BitMapper: an efficient all-mapper based on bit-vector computing
por: Cheng, Haoyu, et al.
Publicado: (2015)

CisMapper: predicting regulatory interactions from transcription factor ChIP-seq data
por: O'Connor, Timothy, et al.
Publicado: (2017)

An efficient and scalable analysis framework for variant extraction and refinement from population-scale DNA sequence data
por: Jun, Goo, et al.
Publicado: (2015)

MUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing framework
por: Harmanci, Arif, et al.
Publicado: (2014)

RNF: a general framework to evaluate NGS read mappers
por: Břinda, Karel, et al.
Publicado: (2016)

Discovery of functional genomic motifs in viruses with ViReMa–a Virus Recombination Mapper–for analysis of next-generation sequencing data
por: Routh, Andrew, et al.
Publicado: (2014)

Single-cell mapper (scMappR): using scRNA-seq to infer the cell-type specificities of differentially expressed genes
por: Sokolowski, Dustin J, et al.
Publicado: (2021)

Computational and molecular tools for scalable rAAV-mediated genome editing
por: Stoimenov, Ivaylo, et al.
Publicado: (2015)

Fast and scalable inference of multi-sample cancer lineages
por: Popic, Victoria, et al.
Publicado: (2015)

Scalable microfluidics for single-cell RNA printing and sequencing
por: Bose, Sayantan, et al.
Publicado: (2015)

Simplitigs as an efficient and scalable representation of de Bruijn graphs
por: Břinda, Karel, et al.
Publicado: (2021)

Scalable and model-free detection of spatial patterns and colocalization
por: Liu, Qi, et al.
Publicado: (2022)

Robust, scalable, and informative clustering for diverse biological networks
por: Gaiteri, Chris, et al.
Publicado: (2023)

Shrinkage-based Random Local Clocks with Scalable Inference
por: Fisher, Alexander A, et al.
Publicado: (2023)

Computationally scalable geospatial network and routing analysis through multi-level spatial clustering.
por: Chambers, Jonathan
Publicado: (2020)

Ray Meta: scalable de novo metagenome assembly and profiling
por: Boisvert, Sébastien, et al.
Publicado: (2012)

Comprehensive and scalable quantification of splicing differences with MntJULiP
por: Yang, Guangyu, et al.
Publicado: (2022)

Scalable Gromov–Wasserstein Based Comparison of Biological Time Series
por: Kravtsova, Natalia, et al.
Publicado: (2023)

Large-scale computational identification of regulatory SNPs with rSNP-MAPPER
por: Riva, Alberto
Publicado: (2012)

A generic, cost-effective, and scalable cell lineage analysis platform
por: Biezuner, Tamir, et al.
Publicado: (2016)

Ultrafast and scalable variant annotation and prioritization with big functional genomics data
por: Huang, Dandan, et al.
Publicado: (2020)

Scalable Empirical Mixture Models That Account for Across-Site Compositional Heterogeneity
por: Schrempf, Dominik, et al.
Publicado: (2020)

Torch-eCpG: A fast and scalable eQTM mapper for thousands of molecular phenotypes with graphical processing units
por: Kober, Kord M., et al.
Publicado: (2023)

Reference based annotation with GeneMapper
por: Chatterji, Sourav, et al.
Publicado: (2006)

Biomedical Terminology Mapper for UML projects
por: Thibault, Julien C., et al.
Publicado: ( 201)

URMAP, an ultra-fast read mapper
por: Edgar, Robert
Publicado: (2020)

scClassify: sample size estimation and multiscale classification of cells using single and multiple reference
por: Lin, Yingxin, et al.
Publicado: (2020)

TELS: A Novel Computational Framework for Identifying Motif Signatures of Transcribed Enhancers
por: Kleftogiannis, Dimitrios, et al.
Publicado: (2018)

ANIMA: Association network integration for multiscale analysis
por: Deffur, Armin, et al.
Publicado: (2018)

A scalable, fully automated process for construction of sequence-ready barcoded libraries for 454
por: Lennon, Niall J, et al.
Publicado: (2010)

f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq
por: Buettner, Florian, et al.
Publicado: (2017)

A computational framework for boosting confidence in high-throughput protein-protein interaction datasets
por: Hosur, Raghavendra, et al.
Publicado: (2012)

Phylodynamics with Migration: A Computational Framework to Quantify Population Structure from Genomic Data
por: Kühnert, Denise, et al.
Publicado: (2016)

CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencing
por: Sato, Kenta, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_cpboa4tv8h8ulijgspv2b03v32