187 related articles for article (PubMed ID: 35923701)
21. Stability of building gene regulatory networks with sparse autoregressive models.
Rajapakse JC; Mundra PA
BMC Bioinformatics; 2011; 12 Suppl 13(Suppl 13):S17. PubMed ID: 22373004
[TBL] [Abstract][Full Text] [Related]
22. Filter feature selection based Boolean Modelling for Genetic Network Inference.
Gamage HN; Chetty M; Shatte A; Hallinan J
Biosystems; 2022 Nov; 221():104757. PubMed ID: 36007675
[TBL] [Abstract][Full Text] [Related]
23. An improved Bayesian network method for reconstructing gene regulatory network based on candidate auto selection.
Xing L; Guo M; Liu X; Wang C; Wang L; Zhang Y
BMC Genomics; 2017 Nov; 18(Suppl 9):844. PubMed ID: 29219084
[TBL] [Abstract][Full Text] [Related]
24. LogBTF: gene regulatory network inference using Boolean threshold network model from single-cell gene expression data.
Li L; Sun L; Chen G; Wong CW; Ching WK; Liu ZP
Bioinformatics; 2023 May; 39(5):. PubMed ID: 37079737
[TBL] [Abstract][Full Text] [Related]
25. PEPN-GRN: A Petri net-based approach for the inference of gene regulatory networks from noisy gene expression data.
Vatsa D; Agarwal S
PLoS One; 2021; 16(5):e0251666. PubMed ID: 33989333
[TBL] [Abstract][Full Text] [Related]
26. Accurate determination of causalities in gene regulatory networks by dissecting downstream target genes.
Jia Z; Zhang X
Front Genet; 2022; 13():923339. PubMed ID: 36568360
[TBL] [Abstract][Full Text] [Related]
27. Generation of Realistic Gene Regulatory Networks by Enriching for Feed-Forward Loops.
Zhivkoplias EK; Vavulov O; Hillerton T; Sonnhammer ELL
Front Genet; 2022; 13():815692. PubMed ID: 35222536
[TBL] [Abstract][Full Text] [Related]
28. A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis.
Ni Y; Aghamirzaie D; Elmarakeby H; Collakova E; Li S; Grene R; Heath LS
Front Plant Sci; 2016; 7():1936. PubMed ID: 28066488
[TBL] [Abstract][Full Text] [Related]
29. A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data.
Zhao M; He W; Tang J; Zou Q; Guo F
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35062026
[TBL] [Abstract][Full Text] [Related]
30. Uncovering cancer gene regulation by accurate regulatory network inference from uninformative data.
Seçilmiş D; Hillerton T; Morgan D; Tjärnberg A; Nelander S; Nordling TEM; Sonnhammer ELL
NPJ Syst Biol Appl; 2020 Nov; 6(1):37. PubMed ID: 33168813
[TBL] [Abstract][Full Text] [Related]
31. Fast and accurate inference of gene regulatory networks through robust precision matrix estimation.
Passemiers A; Moreau Y; Raimondi D
Bioinformatics; 2022 May; 38(10):2802-2809. PubMed ID: 35561176
[TBL] [Abstract][Full Text] [Related]
32. A bayesian framework that integrates heterogeneous data for inferring gene regulatory networks.
Santra T
Front Bioeng Biotechnol; 2014; 2():13. PubMed ID: 25152886
[TBL] [Abstract][Full Text] [Related]
33. COFFEE: Consensus Single Cell-Type Specific Inference for Gene Regulatory Networks.
Lodi MK; Chernikov A; Ghosh P
bioRxiv; 2024 Jan; ():. PubMed ID: 38260386
[TBL] [Abstract][Full Text] [Related]
34. AGRN: accurate gene regulatory network inference using ensemble machine learning methods.
Alawad DM; Katebi A; Kabir MWU; Hoque MT
Bioinform Adv; 2023; 3(1):vbad032. PubMed ID: 37038446
[TBL] [Abstract][Full Text] [Related]
35. Hybrid method inference for the construction of cooperative regulatory network in human.
Chebil I; Nicolle R; Santini G; Rouveirol C; Elati M
IEEE Trans Nanobioscience; 2014 Jun; 13(2):97-103. PubMed ID: 24771593
[TBL] [Abstract][Full Text] [Related]
36. SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inference.
Guan J; Wang Y; Wang Y; Zhuang Y; Ji G
BMC Genomics; 2022 Nov; 23(1):782. PubMed ID: 36451086
[TBL] [Abstract][Full Text] [Related]
37. SPREd: a simulation-supervised neural network tool for gene regulatory network reconstruction.
Wu Z; Sinha S
Bioinform Adv; 2024; 4(1):vbae011. PubMed ID: 38444538
[TBL] [Abstract][Full Text] [Related]
38. Inference of gene regulatory subnetworks from time course gene expression data.
Liang XJ; Xia Z; Zhang LW; Wu FX
BMC Bioinformatics; 2012 Jun; 13 Suppl 9(Suppl 9):S3. PubMed ID: 22901088
[TBL] [Abstract][Full Text] [Related]
39. Inference of gene regulatory networks from time series by Tsallis entropy.
Lopes FM; de Oliveira EA; Cesar RM
BMC Syst Biol; 2011 May; 5():61. PubMed ID: 21545720
[TBL] [Abstract][Full Text] [Related]
40. Reverse engineering module networks by PSO-RNN hybrid modeling.
Zhang Y; Xuan J; de los Reyes BG; Clarke R; Ressom HW
BMC Genomics; 2009 Jul; 10 Suppl 1(Suppl 1):S15. PubMed ID: 19594874
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]