Results 51 to 60 of about 7,468,732 (318)
Inference and analysis of cell-cell communication using CellChat
Nature Communications, 2020 Understanding global communications among cells requires accurate representation of cell-cell signaling links and effective systems-level analyses of those links.
Suoqin Jin +8 more
semanticscholar +1 more source
Applying causal discovery to single-cell analyses using CausalCell
eLife, 2023 Correlation between objects is prone to occur coincidentally, and exploring correlation or association in most situations does not answer scientific questions rich in causality.
Yujian Wen +7 more
doaj +1 more source
Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
Nature Methods, 2019 We present a systematic evaluation of state-of-the-art algorithms for inferring gene regulatory networks from single-cell transcriptional data.
Aditya Pratapa +4 more
semanticscholar +1 more source
NetRAX: accurate and fast maximum likelihood phylogenetic network inference
bioRxiv, 2021 Phylogenetic networks are used to represent non-treelike evolutionary scenarios. Current, actively developed approaches for phylogenetic network inference jointly account for non-treelike evolution and incomplete lineage sorting (ILS).
S. Lutteropp +4 more
semanticscholar +1 more source
Inferring Topology of Networks With Hidden Dynamic Variables
IEEE Access, 2022 Inferring the network topology from the dynamics of interacting units constitutes a topical challenge that drives research on its theory and applications across physics, mathematics, biology, and engineering.
Raoul Schmidt +6 more
doaj +1 more source
Few regulatory metabolites coordinate expression of central metabolic genes in Escherichia coli
Molecular Systems Biology, 2017 Transcription networks consist of hundreds of transcription factors with thousands of often overlapping target genes. While we can reliably measure gene expression changes, we still understand relatively little why expression changes the way it does. How
Karl Kochanowski +5 more
doaj +1 more source
Active Topology Inference using Network Coding [PDF]
, 1998 Our goal is to infer the topology of a network when (i) we can send probes between sources and receivers at the edge of the network and (ii) intermediate nodes can perform simple network coding operations, i.e., additions.
Buchbinder, E.I. +3 more
core +3 more sources
Frontiers in Genetics, 2017 Perturbation of biological networks is often observed during exposure to xenobiotics, and the identification of disturbed processes, their dynamic traits, and dose–response relationships are some of the current challenges for elucidating the mechanisms ...
Terezinha M. Souza +2 more
doaj +1 more source
Ensemble Inference and Inferability of Gene Regulatory Networks
PLoS ONE, 2014 The inference of gene regulatory network (GRN) from gene expression data is an unsolved problem of great importance. This inference has been stated, though not proven, to be underdetermined implying that there could be many equivalent (indistinguishable) solutions. Motivated by this fundamental limitation, we have developed new framework and algorithm,
Ud-Dean Minhaz, Gunawan Rudiyanto
openaire +6 more sources
Accurate deep neural network inference using computational phase-change memory [PDF]
Nature Communications, 2019 In-memory computing using resistive memory devices is a promising non-von Neumann approach for making energy-efficient deep learning inference hardware.
V. Joshi +8 more
semanticscholar +1 more source