Results 31 to 40 of about 8,638,029 (373)

Inferring person-to-person networks of Plasmodium falciparum transmission: are analyses of routine surveillance data up to the task?

open access: yesMalaria Journal, 2022
Background Inference of person-to-person transmission networks using surveillance data is increasingly used to estimate spatiotemporal patterns of pathogen transmission.
John H. Huber   +10 more
doaj   +1 more source

Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

open access: yesGenome Biology, 2023
Spatial transcriptomics maps gene expression across tissues, posing the challenge of determining the spatial arrangement of different cell types. However, spatial transcriptomics spots contain multiple cells.
Agnieszka Geras   +11 more
doaj   +1 more source

Abstract data type systems

open access: yesTheoretical Computer Science, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jean-Pierre Jouannaud, Mitsuhiro Okada
openaire   +2 more sources

A novel gene selection method for gene expression data for the task of cancer type classification

open access: yesBiology Direct, 2021
Cancer is a poligenetic disease with each cancer type having a different mutation profile. Genomic data can be utilized to detect these profiles and to diagnose and differentiate cancer types. Variant calling provide mutation information. Gene expression
N. Özlem ÖZCAN ŞİMŞEK   +2 more
doaj   +1 more source

Spectral Properties of Some IRAS Starburst Galaxies at HI 21-cm statistic study [PDF]

open access: yesمجلة جامعة الانبار للعلوم الصرفة, 2012
Many research deal with physical properties of HI gas in all types of galaxies.The 21cm data analysis allows to measure spectral and radio properties for galaxies, so it allows to study physical operation that assistant in starformation. We interest here
AKRAM M. Ali
doaj   +1 more source

Generic Proofs of Consensus Numbers for Abstract Data Types [PDF]

open access: yes, 2016
The power of shared data types to solve consensus in asynchronous wait-free systems is a fundamental question in distributed computing, but is largely considered only for specific data types. We consider general classes of abstract shared data types, and
Talmage, Edward, Welch, Jennifer
core   +1 more source

MetaTiME integrates single-cell gene expression to characterize the meta-components of the tumor immune microenvironment

open access: yesNature Communications, 2023
Recent advances in single-cell RNA sequencing have shown heterogeneous cell types and gene expression states in the non-cancerous cells in tumors. The integration of multiple scRNA-seq datasets across tumors can indicate common cell types and states in ...
Yi Zhang   +14 more
doaj   +1 more source

Search for malicious powershell scripts using syntax trees

open access: yesБезопасность информационных технологий, 2023
Purpose of the paper: a search for a rather abstract representation of the PowerShell script functionality using abstract syntax trees such that an invisible obfuscated PowerShell script can be detected provided the associated PowerShell script is ...
Viktor V. Erokhin
doaj   +1 more source

SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

open access: yesGenome Biology, 2019
Single-cell RNA-seq data contain a large proportion of zeros for expressed genes. Such dropout events present a fundamental challenge for various types of data analyses. Here, we describe the SCRABBLE algorithm to address this problem. SCRABBLE leverages
Tao Peng, Qin Zhu, Penghang Yin, Kai Tan
doaj   +1 more source

CoCoA-diff: counterfactual inference for single-cell gene expression analysis

open access: yesGenome Biology, 2021
Finding a causal gene is a fundamental problem in genomic medicine. We present a causal inference framework, CoCoA-diff, that prioritizes disease genes by adjusting confounders without prior knowledge of control variables in single-cell RNA-seq data.
Yongjin P. Park, Manolis Kellis
doaj   +1 more source

Home - About - Disclaimer - Privacy