25 results for “Computational Biology”. Showing 25 of 39,449.
Improved T-cell Receptor Diversity Estimates Associate with Survival and Response to Anti-PD-1 Therapy.
Computational Biology, UNC School of Medicine, Chapel Hill, North Carolina
SETX (senataxin), the helicase mutated in AOA2 and ALS4, functions in autophagy regulation.
Computational Biology, The Wistar Institute, Philadelphia, PA, USA. SETX (senataxin
G3BP1 Is a Tunable Switch that Triggers Phase Separation to Assemble Stress Granules.
Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA. (6)Department
Genomic signatures and gene networking: challenges and promises.
Computational Biology as well as other sources with a focus
Combinatorial CRISPR-Cas9 screens for de novo mapping of genetic interactions.
Computational Biology &Bioinformatics, University of California, San Diego, La Jolla
UNC93B1 promotes pancreatic cancer progression through modulation of cGAS-STING signaling.
computational biology and machine learning. We aimed to delineate the core
Investigating the clinical efficacy, safety and molecular mechanism of sulforaphane in autism spectrum disorder: an integrated study combining meta-analysis, network pharmacology, and computational biology.
BACKGROUND: Sulforaphane, a natural antioxidant rich in cruciferous vegetables, has
Spatiotemporal profile of postsynaptic interactomes integrates components of complex brain disorders.
Computational Biology Program, University of Southern California, Los Angeles, California
B cells orchestrate tolerance to the neuromyelitis optica autoantigen AQP4.
Computational Biology, Helmholtz Munich, Neuherberg, Germany. (17)German Center for Infection
RNA binding protein SYNCRIP maintains proteostasis and self-renewal of hematopoietic stem and progenitor cells.
Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York
Quantifying Synergistic Mutual Information
computational biology (Narayanan et al. 2005; Balduzzi and Tononi 2008). Several
LncRNA: a link between RNA and cancer.
computational biology, long noncoding RNAs (lncRNAs) are being identified and characterized
IL-10 constrains sphingolipid metabolism to limit inflammation.
Computational Biology and Bioinformatics Program, Yale University, New Haven, CT, USA. (8)Department
A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolution.
Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA, USA. (3)Department
The SWI/SNF Protein PBRM1 Restrains VHL-Loss-Driven Clear Cell Renal Cell Carcinoma.
Computational Biology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. (3)Human
10.1126/science.1237905
Biology [Australian Research Council Center of Excellence (CoE)] and Computational
The human glucocorticoid receptor.
computational-structural biology and the implication of epigenetics in every
Chapter 6: Structural variation and medical genomics.
Computational Molecular Biology, Brown University, Providence, Rhode Island, United States
Biologically Realistic Computational Primitives of Neocortex Implemented on Neuromorphic Hardware Improve Vision Transformer Performance
Modeling direction selectivity of simple cells in striate visual cortex within the framework of the canonical microcircuit
biologically realistic computer simulations the functioning of a cortical network
Methods in Computational Neuroscience: Marine Biology Laboratory Student Projects
Abstract : This course is for advanced graduate students and postdoctoral
2-(Phenylamino)-7,8-dihydroquinazolin-5(6H)-one, a promising scaffold for MAO-B inhibitors with potential GSK3β targeting.
computational studies. Further biological assays revealed a safe profile for all derivatives
FR-Match: Robust matching of cell type clusters from single cell RNA sequencing data using the Friedman-Rafsky non-parametric test
biological systems. While computational methods for scRNAseq cell type clustering
Phospholipase iPLA(2)β averts ferroptosis by eliminating a redox lipid death signal.
Computational and Systems Biology, School of Medicine, University of Pittsburgh
FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman–Rafsky non-parametric test
biological systems. While computational methods for scRNAseq cell type clustering