Results 101 to 110 of about 3,543,075 (195)

Combinatorial prediction of marker panels from single‐cell transcriptomic data

Molecular Systems Biology, 2019
Single‐cell transcriptomic studies are identifying novel cell populations with exciting functional roles in various in vivo contexts, but identification of succinct gene marker panels for such populations remains a challenge.
Conor Delaney, Alexandra Schnell, Louis V Cammarata, Aaron Yao‐Smith, Aviv Regev, Vijay K Kuchroo, Meromit Singer   +6 more
doaj   +1 more source

SCITUNA: single-cell data integration tool using network alignment

BMC Bioinformatics
Background As single-cell genomics experiments increase in complexity and scale, the need to integrate multiple datasets has grown. Such integration enhances cellular feature identification by leveraging larger data volumes.
Aissa Houdjedj, Yacine Marouf, Mekan Myradov, Süleyman Onur Doğan, Burak Onur Erten, Oznur Tastan, Cesim Erten, Hilal Kazan   +7 more
doaj   +1 more source

Allometry of cell types in planarians by single-cell transcriptomics

Science Advances
Allometry explores the relationship between an organism’s body size and its various components, offering insights into ecology, physiology, metabolism, and disease. The cell is the basic unit of biological systems, and yet the study of cell-type allometry remains relatively unexplored.
Elena Emili, Alberto Pérez-Posada, Virginia Vanni, David Salamanca-Díaz, Dianalí Ródriguez-Fernández, Maria D. Christodoulou, Jordi Solana   +6 more
openaire   +2 more sources

Method of making a high voltage V-groove solar cell [PDF]

, 1982
A method is provided for making a high voltage multijunction solar cell. The cell comprises a plurality of discrete voltage generating regions, or unit cells, which are formed in a single semiconductor wafer and are connected together so that the ...
Chai, A. T., Evans, J. C., Jr., Goradia, C. P.   +2 more
core   +1 more source

Coding against Spreading Gain Optimization of Nonbinary BCH Coded CDMA System

, 2005
The joint analytical optimisation of the spreading gain and coding gain of nonbinary BCH coded CDMA communication systems is considered in both single-cell and multi-cell scenarios.
Hanzo, L., Wei, H.
core  

SINGLE CELL ATLAS OF THE ANNELID BRAIN: INSIGHTS ON EVOLUTIONARILY CONSERVED NEURONAL CELL TYPES

IBRO Neuroscience Reports, 2023
Victoria Alicia Witte, A. Phillip Oel, Leslie Pan, Luca Santangeli, Tobias Gerber, Idoia Quintana-Urzainqui, Detlev Arendt   +6 more
doaj   +1 more source

Single-cell network biology enabling cell-type-resolved disease genetics

Genomics & Informatics
Abstract Gene network models provide a foundation for graph theory approaches, aiding in the novel discovery of drug targets, disease genes, and genetic mechanisms for various biological functions. Disease genetics must be interpreted within the cellular context of disease-associated cell types, which cannot be achieved with datasets ...
Junha Cha, Insuk Lee
openaire   +3 more sources

Dynamics of Whole Transcriptome Analysis (WTA) and Surface markers expression (AbSeq) in Immune Cells of COVID-19 Patients and Recovered captured through Single Cell Genomics

Frontiers in Medicine
IntroductionSingle-cell multi-omics studies, such as multidimensional transcriptomics (whole transcriptomic analysis, WTA), and surface marker analysis (antibody sequencing, AbSeq), have turned out to be valuable techniques that offer inaccessible ...
Jyoti Soni, Jyoti Soni, Partha Chattopadhyay, Partha Chattopadhyay, Priyanka Mehta, Priyanka Mehta, Ramakant Mohite, Kishore Tardalkar, Meghnad Joshi, Rajesh Pandey, Rajesh Pandey   +10 more
doaj   +1 more source

Single-cell RNA sequencing across diverse cell types to identify PFOA-induced ovarian cellular senescence

Ecotoxicology and Environmental Safety
Perfluorooctanoic acid (PFOA) is a persistent environmental pollutant that has been associated with reproductive dysfunction, yet cellular mechanism underlying its ovarian toxicity remain poorly understood. From the perspective of cellular senescence, we
Ning Li, Jiahao Hu, Yuhan Zhao, Jiaqi Tian, Qiang Li, Lin Zhang   +5 more
doaj   +1 more source

Comparison of wheat classification accuracy using different classifiers of the image-100 system [PDF]

Classification results using single-cell and multi-cell signature acquisition options, a point-by-point Gaussian maximum-likelihood classifier, and K-means clustering of the Image-100 system are presented.
Chen, S. C., Dejesusparada, N., Delima, A. M., Moreira, M. A.   +3 more
core   +1 more source