Cargando…

Ten quick tips for deep learning in biology

Detalles Bibliográficos
Autores principales:	Lee, Benjamin D., Gitter, Anthony, Greene, Casey S., Raschka, Sebastian, Maguire, Finlay, Titus, Alexander J., Kessler, Michael D., Lee, Alexandra J., Chevrette, Marc G., Stewart, Paul Allen, Britto-Borges, Thiago, Cofer, Evan M., Yu, Kun-Hsing, Carmona, Juan Jose, Fertig, Elana J., Kalinin, Alexandr A., Signal, Brandon, Lengerich, Benjamin J., Triche, Timothy J., Boca, Simina M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2022
Materias:	Education
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946751/ https://www.ncbi.nlm.nih.gov/pubmed/35324884 http://dx.doi.org/10.1371/journal.pcbi.1009803

Ejemplares similares

A Mentee’s Baby Registry: Supporting New Academic Parents in 2020
por: Fertig, Elana J.
Publicado: (2020)

how_are_we_stranded_here: quick determination of RNA-Seq strandedness
por: Signal, Brandon, et al.
Publicado: (2022)

Quantifying the Dynamics of Coupled Networks of Switches and Oscillators
por: Francis, Matthew R., et al.
Publicado: (2012)

Opportunities and obstacles for deep learning in biology and medicine
por: Ching, Travers, et al.
Publicado: (2018)

Analysis of gene expression of secreted factors associated with breast cancer metastases in breast cancer subtypes
por: Fertig, Elana J., et al.
Publicado: (2015)

Learning Dysregulated Pathways in Cancers from Differential Variability Analysis
por: Afsari, Bahman, et al.
Publicado: (2014)

Generating colorblind-friendly scatter plots for single-cell data
por: Guha, Tejas, et al.
Publicado: (2022)

Matrix factorization and transfer learning uncover regulatory biology across multiple single-cell ATAC-seq data sets
por: Erbe, Rossin, et al.
Publicado: (2020)

Synthesizer: Expediting synthesis studies from context-free data with information retrieval techniques
por: Gandy, Lisa M., et al.
Publicado: (2017)

CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures
por: Sherman, Thomas D., et al.
Publicado: (2020)

Transcriptomic forecasting with neural ordinary differential equations
por: Erbe, Rossin, et al.
Publicado: (2023)

LionVu 2.0 Usability Assessment for Pennsylvania, United States
por: Geyer, Nathaniel R., et al.
Publicado: (2020)

An Open-Publishing Response to the COVID-19 Infodemic
por: Rando, Halie M., et al.
Publicado: (2021)

An Open-Publishing Response to the COVID-19 Infodemic
por: Rando, Halie M., et al.
Publicado: (2021)

A direct approach to estimating false discovery rates conditional on covariates
por: Boca, Simina M., et al.
Publicado: (2018)

Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
por: Raschka, Sebastian, et al.
Publicado: (2020)

Breast cancer cells condition lymphatic endothelial cells within pre-metastatic niches to promote metastasis
por: Lee, Esak, et al.
Publicado: (2014)

Personalized regression enables sample-specific pan-cancer analysis
por: Lengerich, Benjamin J, et al.
Publicado: (2018)

Understanding bias when estimating life expectancy from age at death: a simulation approach applied to Morquio syndrome A
por: Yin, Xue, et al.
Publicado: (2022)

Hybrid Modeling of Cell Signaling and Transcriptional Reprogramming and Its Application in C. elegans Development
por: Fertig, Elana J., et al.
Publicado: (2011)

QuickStats
por: Talwalkar, Anjali, et al.
Publicado: (2013)

QuickStats
por: Albert, Michael, et al.
Publicado: (2013)

shinyMethyl: interactive quality control of Illumina 450k DNA methylation arrays in R
por: Fortin, Jean-Philippe, et al.
Publicado: (2014)

Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data
por: Wang, Haohan, et al.
Publicado: (2019)

Time-Varying Mortality Risk Suggests Increased Impact of Thrombosis in Hospitalized Covid-19 Patients
por: Lengerich, Benjamin J., et al.
Publicado: (2021)

QuickStats
por: MacDorman, Marian F., et al.
Publicado: (2013)

Transfer learning between preclinical models and human tumors identifies a conserved NK cell activation signature in anti-CTLA-4 responsive tumors
por: Davis-Marcisak, Emily F., et al.
Publicado: (2021)

Spatial correlation statistics enable transcriptome-wide characterization of RNA structure binding
por: Busa, Veronica F., et al.
Publicado: (2021)

The Impact of the COVID-19 Pandemic on Cancer Mortality in Pennsylvania: A Retrospective Study with Geospatial Analysis
por: Ledford, Savanna G., et al.
Publicado: (2023)

QuickStats
por: Park-Lee, Eunice, et al.
Publicado: (2013)

A Software Application for Mining and Presenting Relevant Cancer Clinical Trials per Cancer Mutation
por: Gandy, Lisa M, et al.
Publicado: (2017)

Boosting Single-Cell RNA Sequencing Analysis with Simple Neural Attention
por: Davalos, Oscar A., et al.
Publicado: (2023)

Rapid System Prototyping with FPGAs: Accelerating the design process
por: Cofer, R C, et al.
Publicado: (2005)

Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study
por: Lengerich, Benjamin J., et al.
Publicado: (2022)

QuickBooks online for dummies
por: Marmel, Elaine J
Publicado: (2016)

Quick Method of Making Dies
por: Troutman, J. A.
Publicado: (1871)

Quickly ‘learning’ to move optimally
por: Brenner, Eli, et al.
Publicado: (2011)

QuickVue Influenza A+B rapid test for influenza surveillance in community
por: Cheng, Calvin KY, et al.
Publicado: (2011)

Quick & painless business writing: an essential guide to clear and powerful communication
por: Benjamin, Susan
Publicado: (2007)

Model-informed experimental design recommendations for distinguishing intrinsic and acquired targeted therapeutic resistance in head and neck cancer
por: Cárdenas, Santiago D., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_27ebibanhvbng502t9nbv5urjo