Evidence map›Paper›PMID 38891842›Full record

ArticleInternational journal of molecular sciences2024

A Causal Regulation Modeling Algorithm for Temporal Events with Application to

Yigang Chen, Runbo Mao, Jiatong Xu, Yixian Huang, Jingyi Xu, Shidong Cui, Zihao Zhu, Xiang Ji, Shenghan Huang, Yanzhe Huang and 4 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Drug Discovery from Gene Expression/Gene Regulation.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Yigang ChenSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.ORCID 0009-0008-7290-0047
Runbo MaoSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.
Jiatong XuSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.ORCID 0000-0002-4557-3414
Yixian HuangSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.ORCID 0009-0004-2601-2875
Jingyi XuSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.
Shidong CuiSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.
Zihao ZhuSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.
Xiang JiSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.
Shenghan HuangSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.ORCID 0009-0008-4207-6325
Yanzhe HuangSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.
Hsi-Yuan HuangSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.ORCID 0000-0001-8453-4939
Shih-Chung YenSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.
Yang-Chi-Duang LinSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.
Hsien-Da HuangSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen 518172, China.

Funding

Guangdong Young Scholar Development Fund of Shenzhen Ganghong Group Co., Ltd. 2021E0005, 2022E003Key Program of Guangdong Basic and Applied Basic Research Fund; Guangdong-Shenzhen Joint Fund: 2020B1515120069Shenzhen-Hong Kong Cooperation Zone for Technology and Innovation HZQB-KCZYB-2020056, P2-2022-HDH-001-AShenzhen Science and Technology Program JCYJ20220530143615035the National Natural Science Foundation of China No. 32070674the Warshel Institute for Computational Biology funding from Shenzhen City and Longgang District NA
6 · The paper itself

Abstract

Time-series experiments are crucial for understanding the transient and dynamic nature of biological phenomena. These experiments, leveraging advanced classification and clustering algorithms, allow for a deep dive into the cellular processes. However, while these approaches effectively identify patterns and trends within data, they often need to improve in elucidating the causal mechanisms behind these changes. Building on this foundation, our study introduces a novel algorithm for temporal causal signaling modeling, integrating established knowledge networks with sequential gene expression data to elucidate signal transduction pathways over time. Focusing on

Indexed as

AlgorithmsEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialGene Regulatory NetworksAerobiosisAnaerobiosisGene Expression ProfilingModels, BiologicalSignal TransductionEscherichia coli Proteinsaerobic-to-anaerobic transitionbiological modelingcausal signaling modelEscherichia colitemporal transcriptomics

Identifiers

PMID38891842
PMCPMC11171773

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.