Cargando…

Cochrane Interactive Learning

Detalles Bibliográficos
Autor principal:	Ghezzi-Kopel, Kate
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Medical Library Association 2018
Materias:	Resource Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6148604/ http://dx.doi.org/10.5195/jmla.2018.516

Ejemplares similares

A Landscape of Pharmacogenomic Interactions in Cancer
por: Iorio, Francesco, et al.
Publicado: (2016)

Human proteins that interact with RNA/DNA hybrids
por: Wang, Isabel X., et al.
Publicado: (2018)

Global Mapping of Small RNA-Target Interactions in Bacteria
por: Melamed, Sahar, et al.
Publicado: (2016)

Modeling transcriptional regulation of model species with deep learning
por: Cofer, Evan M., et al.
Publicado: (2021)

Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction
por: Weekes, Michael P., et al.
Publicado: (2014)

An Oct4-Centered Protein Interaction Network in Embryonic Stem Cells
por: van den Berg, Debbie L.C., et al.
Publicado: (2010)

The pluripotent regulatory circuitry connecting promoters to their long-range interacting elements
por: Schoenfelder, Stefan, et al.
Publicado: (2015)

Phylo.io: Interactive Viewing and Comparison of Large Phylogenetic Trees on the Web
por: Robinson, Oscar, et al.
Publicado: (2016)

LYRASIS Learning
por: Yacobucci, Karen L.
Publicado: (2021)

Cross-cancer profiling of molecular alterations within the human autophagy interaction network
por: Lebovitz, Chandra B, et al.
Publicado: (2015)

Amine Landscaping to Maximize Protein-Dye Fluorescence and Ultrastable Protein-Ligand Interaction
por: Jacobsen, Michael T., et al.
Publicado: (2017)

Dynamic changes in RNA–protein interactions and RNA secondary structure in mammalian erythropoiesis
por: Shan, Mengge, et al.
Publicado: (2021)

EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways
por: Čapek, Daniel, et al.
Publicado: (2023)

An Expanded Oct4 Interaction Network: Implications for Stem Cell Biology, Development, and Disease
por: Pardo, Mercedes, et al.
Publicado: (2010)

Quantitative interaction screen of telomeric repeat-containing RNA reveals novel TERRA regulators
por: Scheibe, Marion, et al.
Publicado: (2013)

OrtSuite: from genomes to prediction of microbial interactions within targeted ecosystem processes
por: Saraiva, João Pedro, et al.
Publicado: (2021)

Pan-cancer analyses reveal cancer-type-specific fungal ecologies and bacteriome interactions
por: Narunsky-Haziza, Lian, et al.
Publicado: (2022)

Impact of optogenetic pulse design on CA3 learning and replay: A neural model
por: Wilmerding, Lucius K., et al.
Publicado: (2022)

Machine learning-assisted high-content analysis of pluripotent stem cell-derived embryos in vitro
por: Guo, Jianying, et al.
Publicado: (2021)

Distinct Molecular Signatures of Quiescent and Activated Adult Neural Stem Cells Reveal Specific Interactions with Their Microenvironment
por: Morizur, Lise, et al.
Publicado: (2018)

RefSeq Functional Elements as experimentally assayed nongenic reference standards and functional interactions in human and mouse
por: Farrell, Catherine M., et al.
Publicado: (2022)

Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation
por: Waisman, Ariel, et al.
Publicado: (2019)

Single-cell multiome of the human retina and deep learning nominate causal variants in complex eye diseases
por: Wang, Sean K., et al.
Publicado: (2022)

Mapping protein interactions of sodium channel Na(V)1.7 using epitope‐tagged gene‐targeted mice
por: Kanellopoulos, Alexandros H, et al.
Publicado: (2018)

Genome-wide Analysis Reveals Extensive Functional Interaction between DNA Replication Initiation and Transcription in the Genome of Trypanosoma brucei
por: Tiengwe, Calvin, et al.
Publicado: (2012)

Global analysis of protein-RNA interactions in SARS-CoV-2-infected cells reveals key regulators of infection
por: Kamel, Wael, et al.
Publicado: (2021)

High-content phenotyping of Parkinson's disease patient stem cell-derived midbrain dopaminergic neurons using machine learning classification
por: Vuidel, Aurore, et al.
Publicado: (2022)

A systematic analysis of Trypanosoma brucei chromatin factors identifies novel protein interaction networks associated with sites of transcription initiation and termination
por: Staneva, Desislava P., et al.
Publicado: (2021)

scDiffCom: a tool for differential analysis of cell–cell interactions provides a mouse atlas of aging changes in intercellular communication
por: Lagger, Cyril, et al.
Publicado: (2023)

Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain
por: Taft, Joseph M., et al.
Publicado: (2022)

Systematic characterization of regulatory variants of blood pressure genes
por: Oliveros, Winona, et al.
Publicado: (2023)

Recombinant Laminins Drive the Differentiation and Self-Organization of hESC-Derived Hepatocytes
por: Cameron, Kate, et al.
Publicado: (2015)

Alexander Cochran
Publicado: (1924)

Cochrane Pflegeforum
por: Legenstein, Karin, et al.
Publicado: (2022)

Cochrane Pflegeforum
por: Djukic, Dejan, et al.
Publicado: (2022)

Cochrane Cameroon: bringing Cochrane to francophone sub-Saharan Africa
por: Mbuagbaw, Lawrence, et al.
Publicado: (2021)

The cell line A-to-I RNA editing catalogue
por: Schaffer, Amos A, et al.
Publicado: (2020)

Achievements of the Cochrane Iran Associate Centre: Lessons Learned
por: Mesgarpour, Bita, et al.
Publicado: (2019)

Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters
por: Javierre, Biola M., et al.
Publicado: (2016)

eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data
por: Breeze, Charles E., et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_o0a4m2koa759a6m29ih31nb76h