Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: pypi: bnlearn

https://packages.ecosyste.ms/registries/pypi.org/packages/bnlearn

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
67 versions
Latest release: over 1 year ago
3 dependent packages
4,512 downloads last month

Papers Mentioning bnlearn 113

10.1186/s13072-016-0095-z
EpiMINE, a computational program for mining epigenomic data
Cited by: 11
Author(s): Sri Ganesh Jammula, Diego Pasini
Software Mentions: 23
Published: about 8 years ago
10.1038/s41597-019-0171-x
A multi-omics digital research object for the genetics of sleep regulation
Cited by: 8
Author(s): Jan M, Nastassia Gobet, Shanaz Diessler, Paul Franken, Ioannis Xénarios
Software Mentions: 17
Published: about 5 years ago
10.2196/25124
Enhancing Obstructive Sleep Apnea Diagnosis With Screening Through Disease Phenotypes: Algorithm Development and Validation
Cited by: 2
Author(s): Daniela Ferreira-Santos, Pedro Pereira Rodrigues
Software Mentions: 11
Published: over 3 years ago
10.1017/S0950268821000091
How to improve infectious disease prediction by integrating environmental data: an application of a novel ensemble analysis strategy to predict HFMD
Cited by: 1
Author(s): Junwen Tao, Yue Ma, Xuefei Zhuang, Qiang Lv, Yaqiong Liu, Tao Zhang, Fei Yin
Software Mentions: 10
Published: almost 4 years ago
10.1093/aob/mcy221
Root and shoot variation in relation to potential intermittent drought adaptation of Mesoamerican wild common bean (Phaseolus vulgaris L.)
Cited by: 38
Author(s): Jorge C. Berny Mier y Teran, Enéas Ricardo Konzen, Viviana Medina, Antonia Palkovic, Andrea Ariani, Siu Mui Tsai, Matthew E. Gilbert, Paul Gepts
Software Mentions: 10
Published: almost 6 years ago
10.3390/e23050601
Information Structures for Causally Explainable Decisions
Cited by: 3
Author(s): Louis Anthony Cox
Software Mentions: 9
Published: over 3 years ago
10.1089/cmb.2019.0210
<i>bAIcis</i>: A Novel Bayesian Network Structural Learning Algorithm and Its Comprehensive Performance Evaluation Against Open-Source Software
Cited by: 10
Author(s): Lixia Zhang, Leonardo O. Rodrigues, Niven R. Narain, Viatcheslav R. Akmaev
Software Mentions: 9
Published: over 4 years ago
10.1186/s12911-019-0774-3
Using decision fusion methods to improve outbreak detection in disease surveillance
Cited by: 7
Author(s): Gaëtan Texier, Rodrigue S. Allodji, Loty Diop, Jean‐Baptiste Meynard, Liliane Pellegrin, Hervé Chaudet
Software Mentions: 9
Published: almost 6 years ago
10.3389/fgene.2019.00460
Learning Causal Biological Networks With the Principle of Mendelian Randomization
Cited by: 37
Author(s): Md. Bahadur Badsha, Audrey Qiuyan Fu
Software Mentions: 9
Published: over 5 years ago
10.1038/s41598-018-24758-5
Applications of Bayesian network models in predicting types of hematological malignancies
Cited by: 47
Author(s): Rupesh Agrahari, Amir Foroushani, T. Roderick Docking, Linda Chang, Gerben Duns, Monika Hudoba, Aly Karsan, Habil Zare
Software Mentions: 8
Published: over 6 years ago
10.1186/s12859-016-1235-y
BTR: training asynchronous Boolean models using single-cell expression data
Cited by: 62
Author(s): Chee Lim, Huange Wang, Steven Woodhouse, Nir Piterman, Lorenz Wernisch, Jasmin Fisher, Berthold Göttgens
Software Mentions: 8
Published: over 8 years ago
10.1371/journal.pone.0191625
Associations between sexual habits, menstrual hygiene practices, demographics and the vaginal microbiome as revealed by Bayesian network analysis
Cited by: 76
Author(s): Noelle Noyes, Kyu Chul Cho, Jacques Ravel, Larry J. Forney, Zaid Abdo
Software Mentions: 8
Published: almost 7 years ago
10.3389/fmicb.2020.01376
Mobilization of Antibiotic Resistance: Are Current Approaches for Colocalizing Resistomes and Mobilomes Useful?
Cited by: 28
Author(s): Ilya B. Slizovskiy, Kingshuk Mukherjee, Christopher Dean, Christina Boucher, Noelle Noyes
Software Mentions: 8
Published: over 4 years ago
10.1186/s13195-020-00733-z
Exploring the role of RALYL in Alzheimer’s disease reserve by network-based approaches
Cited by: 4
Author(s): Yixuan Zhang, Jiali Wang, Xiaoquan Liu, Haochen Liu
Software Mentions: 7
Published: about 4 years ago
10.3389/fimmu.2019.02903
Co-expression Networks Identify DHX15 RNA Helicase as a B Cell Regulatory Factor
Cited by: 6
Author(s): Thiago Detanico, Richard Virgen-Slane, Seth Steen-Fuentes, Wai Wai Lin, Antje Rhode-Kurnow, Elizabeth Chappell, Ricardo G. Correa, Michael J Dicandido, Moustapha Mbow, Jun Li, Carl F. Ware
Software Mentions: 7
Published: about 5 years ago
10.3389/fgene.2021.651812
MRPC: An R Package for Inference of Causal Graphs
Cited by: 2
Author(s): Md. Bahadur Badsha, Evan A Martin, Audrey Qiuyan Fu
Software Mentions: 7
Published: over 3 years ago
10.1080/0886022X.2020.1810068
Prediction models for acute kidney injury in patients with gastrointestinal cancers: a real-world study based on Bayesian networks
Cited by: 14
Author(s): Yang Li, Xiaohong Chen, Ziyan Shen, Yimei Wang, Jiayue Hu, Yunlu Zhang, Jiacheng Xu, Xiaoqiang Ding
Software Mentions: 7
Published: almost 5 years ago
10.1186/1471-2105-10-S11-S14
NATbox: a network analysis toolbox in R
Cited by: 10
Author(s): Shweta S. Chavan, Michael Bauer, Marco Scutari, Radhakrishnan Nagarajan
Software Mentions: 7
Published: about 15 years ago
10.1371/journal.pone.0219302
Artificial intelligence algorithm for predicting mortality of patients with acute heart failure
Cited by: 74
Author(s): Joon Kwon, Kyung Hee Kim, Ki‐Hyun Jeon, Sang Eun Lee, Hae Young Lee, Hyun Jai Cho, Jin Oh Choi, Eun Seok Jeon, Min Seok Kim, Jae Joong Kim, Kyung Kuk Hwang, Shung Chull Chae, Sang Hong Baek, Seok Min Kang, Dong Ju Choi, Byung Su Yoo, Kye Hun Kim, Hyun-Young Park, Myeong Chan Cho, Byung Hee Oh
Software Mentions: 7
Published: over 5 years ago
10.7554/eLife.60586
Task specialization across research careers
Cited by: 17
Author(s): Nicolás Robinson-García, Rodrigo Costas, Cassidy R. Sugimoto, Vincent Larivière, Gabriela F. Nane
Software Mentions: 7
Published: about 4 years ago
10.1371/journal.pgen.1008198
Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data
Cited by: 33
Author(s): Richard Howey, So–Youn Shin, Caroline L Relton, George Davey Smith, Heather J. Cordell
Software Mentions: 6
Published: almost 5 years ago
10.1186/s12859-019-3309-0
shinyBN: an online application for interactive Bayesian network inference and visualization
Cited by: 10
Author(s): Jia-Jin Jason Chen, Ruyang Zhang, Xuesi Dong, Lijuan Lin, Ying Zhu, Jieyu He, David C. Christiani, Yongyue Wei, Feng Chen
Software Mentions: 6
Published: about 5 years ago
10.1093/bib/bbw102
A graphical model approach visualizes regulatory relationships between genome-wide transcription factor binding profiles
Cited by: 1
Author(s): Felicia Ng, David Ruau, Lorenz Wernisch, Berthold Göttgens
Software Mentions: 6
Published: about 8 years ago
10.1371/journal.pone.0060045
The Structure of a Gene Co-Expression Network Reveals Biological Functions Underlying eQTLs
Cited by: 37
Author(s): Nathalie Villa-Vialaneix, Laurence Liaubet, Thibault Laurent, Pierre Chérel, Adrien Gamot, Magali SanCristobal
Software Mentions: 6
Published: over 11 years ago
10.1186/s12859-020-03707-y
A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data
Cited by: 11
Author(s): Michael Sekula, Jeremy Gaskins, Susmita Datta
Software Mentions: 6
Published: over 4 years ago
10.1186/s12864-019-6110-6
Insight into genetic regulation of miRNA in mouse brain
Cited by: 4
Author(s): Gordon Kordas, Pratyaydipta Rudra, Audrey E. Hendricks, Laura Saba, Katerina Kechris
Software Mentions: 6
Published: about 5 years ago
10.1186/s12859-015-0856-x
3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics
Cited by: 13
Author(s): Séverine Affeldt, Louis Verny, Hervé Isambert
Software Mentions: 6
Published: almost 9 years ago
10.1371/journal.pone.0225651
A Bayesian gene network reveals insight into the JAK-STAT pathway in systemic lupus erythematosus
Cited by: 8
Author(s): Yupeng Li, Richard E. Higgs, Robert W. Hoffman, Ernst R. Dow, Xiong Liu, Michelle Petri, Daniel J. Wallace, Thomas Dörner, Brian J. Eastwood, Bradley B. Miller, Yushi Liu
Software Mentions: 5
Published: about 5 years ago
10.1371/journal.pone.0106524
Discovering Study-Specific Gene Regulatory Networks
Cited by: 8
Author(s): V. Dal Bò, Tanya Y. Curtis, Artem Lysenko, Mansoor Saqi, Stephen Swift, Allan Tucker
Software Mentions: 5
Published: over 10 years ago
10.1038/s41598-017-01767-4
Systems Immunology of Diabetes-Tuberculosis Comorbidity Reveals Signatures of Disease Complications
Cited by: 78
Author(s): César Augusto Prada-Medina, Kiyoshi F. Fukutani, Nathella Pavan Kumar, Leonardo Gil-Santana, Subash Babu, Flávio Lichtenstein, Kim West, Sivakumar Shanmugam, Pradeep A. Menon, Vijay Viswanathan, Bruno B. Andrade, Hidehiko Nakaya, Hardy Kornfeld
Software Mentions: 5
Published: over 7 years ago
10.1371/journal.pbio.2004356
Antibiotic combination efficacy (ACE) networks for a Pseudomonas aeruginosa model
Cited by: 68
Author(s): Camilo Barbosa, Robert Beardmore, Hinrich Schulenburg, Gunther Jansen
Software Mentions: 5
Published: over 6 years ago
10.1186/s12859-019-3253-z
Challenges in proteogenomics: a comparison of analysis methods with the case study of the DREAM proteogenomics sub-challenge
Cited by: 10
Author(s): Tara Eicher, Andrew Patt, Esko A. Kautto, Raghu Machiraju, Ewy A. Mathé, Yan Zhang
Software Mentions: 5
Published: about 5 years ago
10.1038/s41598-021-84905-3
Causal effects in microbiomes using interventional calculus
Cited by: 9
Author(s): Musfiqur Rahman Sazal, Vitalii Stebliankin, Kalai Mathee, Changwon Yoo, Giri Narasimhan
Software Mentions: 5
Published: almost 4 years ago
10.1192/j.eurpsy.2020.45
The association between insight and depressive symptoms in schizophrenia: Undirected and Bayesian network analyses
Cited by: 19
Author(s): Mario Amore, Martino Belvederi Murri, Pietro Calcagno, Paola Rocca, Alessandro Rossi, Eugenio Aguglia, Antonello Bellomo, Giuseppe Blasi, Bernardo Carpiniello, Alessandro Cuomo, Liliana Dell’Osso, Massimo Di Giannantonio, Giulia Giordano, Carlo Marchesi, Palmiero Monteleone, Cristiana Montemagni, Lucio Oldani, Maurizio Pompili, Rita Roncone, Alberto Siracusano, Antonio Vita, Patrizia Zeppegno, Alessandro Corso, Costanza Arzani, Silvana Galderisi, Mario Maj
Software Mentions: 5
Published: almost 5 years ago
10.1093/bioinformatics/btx651
A probabilistic pathway score (PROPS) for classification with applications to inflammatory bowel disease
Cited by: 23
Author(s): Lei Han, Mateusz Maciejewski, Christoph Brockel, William Gordon, Scott B. Snapper, Joshua R. Korzenik, Lovisa Afzelius, Russ B. Altman
Software Mentions: 5
Published: about 7 years ago
10.1038/s41598-019-55357-7
Exploring genetic architecture of grain yield and quality traits in a 16-way indica by japonica rice MAGIC global population
Cited by: 26
Author(s): Hein Zaw, Chitra Raghavan, Arnel E. Pocsedio, B. P. Mallikarjuna Swamy, Mona Liza Jubay, Rakesh Kumar Singh, Justine Bonifacio, Ramil Mauleon, Jose E. Hernandez, Merlyn S. Mendioro, Glenn B. Gregorio, Hei Leung
Software Mentions: 5
Published: about 5 years ago
10.1371/journal.pcbi.1008735
From heterogeneous healthcare data to disease-specific biomarker networks: A hierarchical Bayesian network approach
Cited by: 9
Author(s): Ann‐Kristin Becker, Marcus Dörr, Stephan B. Felix, Fabian Frost, Hans J. Grabe, Markus M. Lerch, Matthias Nauck, Uwe Völker, Henry Völzke, Lars Kaderali
Software Mentions: 5
Published: almost 4 years ago
10.1186/s12879-017-2837-3
Acquisition and persistence of strain-specific methicillin-resistant Staphylococcus aureus and their determinants in community nursing homes
Cited by: 3
Author(s): Nataliya G. Batina, Christopher Crnich, Dorte Döpfer
Software Mentions: 4
Published: about 7 years ago
10.1371/journal.pmed.1003111
Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study
Cited by: 22
Author(s): Casper Reijnen, Evangelia Gogou, Nicole C.M. Visser, Hilde Engerud, Jordache Ramjith, Louis J.M. van der Putten, Koen K. Van de Vijver, Marı́a Santacana, Peter Bronsert, Johan Bulten, Marc Hirschfeld, Eva Colás, Antonio Gil‐Moreno, Armando Reques, Gemma Mancebo, Camilla Krakstad, Jone Trovik, Ingfrid Salvesen Haldorsen, Jutta Huvila, Martin Koskas, Vít Weinberger, Markéta Bednaříková, Jitka Hausnerová, A.A.M. van der Wurff, Xavier Matías‐Guiu, Frédéric Amant, Leon F.A.G. Massuger, Marc P.L.M. Snijders, Heidi V.N. Küsters‐Vandevelde, Peter Lucas, Johanna M.A. Pijnenborg
Software Mentions: 4
Published: over 4 years ago
10.1371/journal.pone.0211546
Factors influencing sedentary behaviour: A system based analysis using Bayesian networks within DEDIPAC
Cited by: 23
Author(s): Christoph Buck, Anne Loyen, Ronja Foraita, Jelle Van Cauwenberg, Marieke De Craemer, Ciarán MacDonncha, Jean‐Michel Oppert, Johannes Brug, Nanna Lien, Greet Cardon, Iris Pigeot, Sébastien Chastin
Software Mentions: 4
Published: almost 6 years ago
10.1038/s41598-019-46737-0
Dynamic Bayesian network in infectious diseases surveillance: a simulation study
Cited by: 8
Author(s): Tao Zhang, Yue Ma, Xiong Xiao, Yun Lin, Xingyu Zhang, Fei Yin, Xiaosong Li
Software Mentions: 4
Published: over 5 years ago
10.15252/msb.20177573
Genomewide phenotypic analysis of growth, cell morphogenesis, and cell cycle events in <i>Escherichia coli</i>
Cited by: 61
Author(s): Manuel Campos, Sander K. Govers, Irnov Irnov, Genevieve S Dobihal, François Cornet, Christine Jacobs‐Wagner
Software Mentions: 4
Published: over 6 years ago
10.1038/s41598-021-94628-0
Disentangling the syntrophic electron transfer mechanisms of Candidatus geobacter eutrophica through electrochemical stimulation and machine learning
Cited by: 5
Author(s): Heyang Yuan, Xuehao Wang, Tzu-Yu Lin, Jinha Kim, Wen Tso Liu
Software Mentions: 4
Published: over 3 years ago
10.1371/journal.pone.0217036
Reclassification of breast cancer: Towards improved diagnosis and outcome
Cited by: 3
Author(s): Alexander Landry, Zsolt Zádor, Rizwan Ul Haq, Michael D. Cusimano
Software Mentions: 4
Published: over 5 years ago
10.1093/ons/opx163
Multivariable and Bayesian Network Analysis of Outcome Predictors in Acute Aneurysmal Subarachnoid Hemorrhage: Review of a Pure Surgical Series in the Post-International Subarachnoid Aneurysm Trial Era
Cited by: 10
Author(s): Zsolt Zádor, Wei Huang, Matthew Sperrin, Michael T. Lawton
Software Mentions: 4
Published: over 7 years ago
10.3390/jcm8060865
The Role of Genetic Factors in Characterizing Extra-Intestinal Manifestations in Crohn’s Disease Patients: Are Bayesian Machine Learning Methods Improving Outcome Predictions?
Cited by: 10
Author(s): Daniele Bottigliengo, Paola Berchialla, Corrado Lanera, Danila Azzolina, Giulia Lorenzoni, Matteo Martinato, Daniela Giachino, Ileana Baldi, Darío Gregori
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0250787
A dynamic Bayesian network model for predicting organ failure associations without predefining outcomes
Cited by: 2
Author(s): R. A. De Blasi, Giuseppe Campagna, Stefano Finazzi
Software Mentions: 4
Published: over 3 years ago
10.3389/fgene.2019.01196
High-Dimensional Bayesian Network Inference From Systems Genetics Data Using Genetic Node Ordering
Cited by: 13
Author(s): Lingfei Wang, Pieter Audenaert, Tom Michoel
Software Mentions: 4
Published: about 5 years ago
10.12688/f1000research.7647.1
CausalTrail: Testing hypothesis using causal Bayesian networks
Cited by: 1
Author(s): Daniel Stöckel, Florian Schmidt, Patrick Trampert, Hans‐Peter Lenhof
Software Mentions: 3
Published: almost 9 years ago
10.1002/fes3.126
Construction of a network describing asparagine metabolism in plants and its application to the identification of genes affecting asparagine metabolism in wheat under drought and nutritional stress
Cited by: 44
Author(s): Tanya Y. Curtis, V. Dal Bò, Allan Tucker, Nigel G. Halford
Software Mentions: 3
Published: almost 7 years ago
10.1186/s12882-020-01786-w
Application of group LASSO regression based Bayesian networks in risk factors exploration and disease prediction for acute kidney injury in hospitalized patients with hematologic malignancies
Cited by: 10
Author(s): Yang Li, Xiaohong Chen, Yimei Wang, Jiayue Hu, Ziyan Shen, Xiaoqiang Ding
Software Mentions: 3
Published: over 4 years ago
10.1186/1753-6561-5-S9-S109
Application of Bayesian network structure learning to identify causal variant SNPs from resequencing data
Cited by: 10
Author(s): Christopher Schlosberg, Tae Hwi Schwantes-An, Wansuo Duan, Nancy L. Saccone
Software Mentions: 3
Published: about 13 years ago
10.1186/s12859-020-3510-1
A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
Cited by: 3
Author(s): Elisabetta Sauta, Andrea Demartini, Francesca Vitali, Alberto Riva, Riccardo Bellazzi
Software Mentions: 3
Published: over 4 years ago
10.3390/toxins10070267
Comparison of Three Modelling Approaches for Predicting Deoxynivalenol Contamination in Winter Wheat
Cited by: 18
Author(s): Cheng Liu, Valentina Manstretta, Vittorio Rossi, H.J. van der Fels‐Klerx
Software Mentions: 3
Published: over 6 years ago
10.3390/toxins13020144
Incentives to Stimulate European Wheat Farmers to Adapt Their Fusarium Species Mycotoxin Management
Cited by: 1
Author(s): Esmée M Janssen, M.C.M. Mourits, A.G.J.M. Oude Lansink, H.J. van der Fels‐Klerx
Software Mentions: 3
Published: almost 4 years ago
10.1002/brb3.1822
Can dementia be predicted using olfactory identification test in the elderly? A Bayesian network analysis
Cited by: 2
Author(s): Ding Ding, Xiaoniu Liang, Zhenxu Xiao, Wanqing Wu, Qianhua Zhao, Yang Cao
Software Mentions: 3
Published: over 4 years ago
10.1186/s40064-016-3292-0
Mining precise cause and effect rules in large time series data of socio-economic indicators
Cited by: 2
Author(s): Swati Hira, Parag S. Deshpande
Software Mentions: 3
Published: over 8 years ago
10.1177/11786469211041376
An Investigation into the Temporal Reproducibility of Tryptophan Metabolite Networks Among Healthy Adolescents
Cited by: 6
Author(s): Kolade Oluwagbemigun, Andrea Anesi, Gerard Clarke, Matthias Schmid, Fulvio Mattivi, Ute Nöthlings
Software Mentions: 3
Published: almost 4 years ago
10.3390/ijerph17176184
Buffering PTSD in Canine Search and Rescue Teams? Associations with Resilience, Sense of Coherence, and Societal Acknowledgment
Cited by: 2
Author(s): Milena Kaufmann, Matthias Gelb, Mareike Augsburger
Software Mentions: 3
Published: over 4 years ago
10.1186/s12936-021-03804-0
Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate regression modelling approaches for improved accuracy in prevalence prediction
Cited by: 5
Author(s): Eimear Cleary, Manuel W Hetzel, Peter Siba, Colleen L Lau, Archie C. A. Clements
Software Mentions: 3
Published: over 3 years ago
10.1371/journal.pcbi.1005244
Utility and Limitations of Using Gene Expression Data to Identify Functional Associations
Cited by: 47
Author(s): Sahra Uygun, Cheng Peng, Melissa D. Lehti-Shiu
Software Mentions: 3
Published: about 8 years ago
10.1371/journal.pcbi.1005603
Molecular determinants for the thermodynamic and functional divergence of uniporter GLUT1 and proton symporter XylE
Cited by: 27
Author(s): Meng Ke, Yunbin Yuan, Xin Jiang, Nieng Yan, H. Gong
Software Mentions: 3
Published: over 7 years ago
10.1371/journal.pgen.1009811
A Bayesian network approach incorporating imputation of missing data enables exploratory analysis of complex causal biological relationships
Cited by: 10
Author(s): Richard Howey, Alexander D. Clark, Najib Naamane, Louise N. Reynard, Arthur G. Pratt, Heather J. Cordell
Software Mentions: 3
Published: about 3 years ago
10.3389/fpsyg.2019.01947
Self-Determined Motivation and Competitive Anxiety in Athletes/Students: A Probabilistic Study Using Bayesian Networks
Cited by: 11
Author(s): Francisco Javier Ponseti, Pedro Lopes de Almeida, João Lameiras, Bruno Martins, Aurelio Olmedilla, Jeanette M. López Walle, Orlando J. Reyes, Alexandre García-Más
Software Mentions: 3
Published: over 5 years ago
10.1371/journal.pone.0258515
How does individualised physiotherapy work for people with low back pain? A Bayesian Network analysis using randomised controlled trial data
Cited by: 3
Author(s): Bernard X. W. Liew, Jon Ford, Marco Scutari, Andrew J. Hahne
Software Mentions: 3
Published: about 3 years ago
10.3389/fspor.2020.595619
An Interdisciplinary Examination of Stress and Injury Occurrence in Athletes
Cited by: 5
Author(s): Harry J Fisher, Marianne J.R. Gittoes, Lynne Evans, Charlotte Leah Bitchell, Richard Mullen, Marco Scutari
Software Mentions: 3
Published: about 4 years ago
10.3389/fmicb.2014.00335
Structural and functional changes in the gut microbiota associated to Clostridium difficile infection
Cited by: 64
Author(s): Ana Elena Pérez‐Cobas, Alejandro Artacho, Stephan Ott, Andrés Moya, María José Gosalbes, Amparo Latorre
Software Mentions: 3
Published: over 10 years ago
10.1038/s41598-018-35399-z
Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task
Cited by: 16
Author(s): Pavel Kharyuk, Dmitry Nazarenko, Ivan Oseledets, И. А. Родин, О. А. Шпигун, Andrey Tsitsilin, Mikhail Lavrentyev
Software Mentions: 3
Published: about 6 years ago
10.1371/journal.pone.0197877
Community structure informs species geographic distributions
Cited by: 7
Author(s): Alicia Montesinos‐Navarro, Alba Estrada, Xavier Font, Miguel G. Matias, Catarina Meireles, Manuel Mendoza, João P. Honrado, Hari Prasad, Joana R. Vicente, Regan Early
Software Mentions: 3
Published: over 6 years ago
10.1371/journal.pone.0158762
Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network Analysis
Cited by: 35
Author(s): Zsolt Zádor, Matthew Sperrin, Andrew T. King
Software Mentions: 3
Published: over 8 years ago
10.1186/s13148-021-01148-9
Identifying causal models between genetically regulated methylation patterns and gene expression in healthy colon tissue
Cited by: 6
Author(s): Anna Díez-Villanueva, Mireia Jordà, Robert Carreras‐Torres, Henar Alonso, David Cordero, Elisabet Guinó, Xavier Sanjuán, Cristina Santos, Ramón Salazar, Rebeca Sanz‐Pamplona, Vı́ctor Moreno
Software Mentions: 3
Published: over 3 years ago
10.1002/ece3.3505
Residence time, native range size, and genome size predict naturalization among angiosperms introduced to Australia
Cited by: 9
Author(s): John P. Schmidt, John M. Drake, Patrick R. Stephens
Software Mentions: 3
Published: about 7 years ago
10.1073/pnas.2016877118
A data-driven approach to identify risk profiles and protective drugs in COVID-19
Cited by: 32
Author(s): Pietro E Cippà, Federica Cugnata, Paolo Ferrari, Chiara Brombin, Lorenzo Ruinelli, G. Bianchi, Nicola Beria, D. Schulz, Enos Bernasconi, Paolo Merlani, Alessandro Ceschi, Clelia Di Serio
Software Mentions: 3
Published: almost 4 years ago
10.3390/e23091122
Computation of Kullback–Leibler Divergence in Bayesian Networks
Cited by: 2
Author(s): Serafı́n Moral, Andrés Cano, Manuel Gómez-Olmedo
Software Mentions: 3
Published: over 3 years ago
10.1186/s13104-018-3621-1
Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation
Cited by: 14
Author(s): Ioannis Spyroglou, Gunter Spöck, A. G. Rigas, Emmanouil Paraskakis
Software Mentions: 3
Published: over 6 years ago
10.3390/jcm10153398
Development and Validation of a Bayesian Network for Supporting the Etiological Diagnosis of Uveitis
Cited by: 7
Author(s): Yvan Jamilloux, Nicolas Romain-Scelle, Muriel Rabilloud, Coralie Morel, Laurent Kodjikian, Delphine Maucort-Boulch, P. Bielefeld, P. Sève
Software Mentions: 3
Published: over 3 years ago
10.1186/s12859-019-3022-z
Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network
Cited by: 20
Author(s): Yang Guo, Zhiman Zhong, Chen Yang, Jingtian Hu, Yaling Jiang, Zizhen Liang, Hui Gao, Jianxiao Liu
Software Mentions: 3
Published: over 5 years ago
10.1038/s12276-018-0110-5
Assessment of genetic factor and depression interactions for asthma symptom severity in cohorts of childhood and elderly asthmatics
Cited by: 8
Author(s): Heung-Woo Park, Woo Jung Song, Sang Heon Cho, Michael J. McGeachie, Fernando J. Martínez, Dave Mauger, Bruce G. Bender, Kelan G. Tantisira
Software Mentions: 3
Published: over 6 years ago
10.1186/s12967-019-1875-6
Fibroblast growth factor 23, endothelium biomarkers and acute kidney injury in critically-ill patients
Cited by: 16
Author(s): Fernanda Macedo de Oliveira Neves, Camila Barbosa Araújo, Daniele Ferreira de Freitas, Bianca Fernandes Távora Arruda, Leonardo José Monteiro de Macêdo Filho, Vivian Brito Salles, Gdayllon Cavalcante Meneses, Alice Maria Costa Martins, Alexandre Braga Libório
Software Mentions: 2
Published: over 5 years ago
10.1016/j.artmed.2012.12.006
Identifying significant edges in graphical models of molecular networks
Cited by: 118
Author(s): Marco Scutari, Radhakrishnan Nagarajan
Software Mentions: 2
Published: almost 12 years ago
10.1186/s12859-018-2072-y
Automated transition analysis of activated gene regulation during diauxic nutrient shift in Escherichia coli and adipocyte differentiation in mouse cells
Cited by: 0
Author(s): Yasuhiro Takenaka, Kazuma Mikami, Shigeto Seno, Hideo Matsuda
Software Mentions: 2
Published: over 6 years ago
10.1186/s12859-019-2802-9
A network-based approach for identifying suitable biomarkers for oral immunotherapy of food allergy
Cited by: 4
Author(s): Jolanda van Bilsen, Lars Verschuren, Laura Wagenaar, Marlotte M. Vonk, Betty C.A.M. van Esch, L.M.J. Knippels, Johan Garssen, Joost J. Smit, Raymond Pieters, Tim J. van den Broek
Software Mentions: 2
Published: over 5 years ago
10.1186/s12864-020-07065-0
Inferring directional relationships in microbial communities using signed Bayesian networks
Cited by: 12
Author(s): Musfiquer Sazal, Kalai Mathee, Daniel Ruiz-Perez, Trevor Cickovski, Giri Narasimhan
Software Mentions: 2
Published: about 4 years ago
10.1186/s12913-017-2496-5
A network perspective on patient experiences and health status: the Medical Expenditure Panel Survey 2004 to 2011
Cited by: 17
Author(s): Yi-Sheng Chao, Hau‐Tieng Wu, Marco Scutari, Tai-Shen Chen, Chao-Jung Wu, Madéleine Durand, Antoine Boivin
Software Mentions: 2
Published: over 7 years ago
10.1186/s12911-019-0753-8
Discover high-risk factor combinations using Bayesian network from cohort data of National Stoke Screening in China
Cited by: 1
Author(s): Xuemeng Li, Jianfei Pang, Mei Li, Dongsheng Zhao
Software Mentions: 2
Published: over 5 years ago
10.1186/s12889-021-11412-5
Application of a novel hybrid algorithm of Bayesian network in the study of hyperlipidemia related factors: a cross-sectional study
Cited by: 10
Author(s): Xuchun Wang, Jinhua Pan, Zeping Ren, Mengmeng Zhai, Zhuang Zhang, Hao Ren, Weimei Song, Yuan He, Chenglian Li, Xiaojuan Yang, Meichen Li, Dichen Quan, Limin Chen, Lixia Qiu
Software Mentions: 2
Published: over 3 years ago
10.1186/s12918-014-0136-9
Integrative network analysis of TCGA data for ovarian cancer
Cited by: 62
Author(s): Qingyang Zhang, Joanna E. Burdette, Ji Ping Wang
Software Mentions: 2
Published: about 10 years ago
10.1186/s12918-015-0207-6
Exploring causal networks underlying fat deposition and muscularity in pigs through the integration of phenotypic, genotypic and transcriptomic data
Cited by: 13
Author(s): Francisco Peñagaricano, Bruno D. Valente, Juan P. Steibel, R. O. Bates, Catherine W. Ernst, Hasan Khatib, Guilherme J. M. Rosa
Software Mentions: 2
Published: over 9 years ago
10.1186/1756-0381-6-6
Using Bayesian networks to discover relations between genes, environment, and disease
Cited by: 74
Author(s): Chauchin Su, Angeline S. Andrew, Margaret R. Karagas, Mark E. Borsuk
Software Mentions: 2
Published: almost 12 years ago
10.1155/2017/1813494
Verification of Three-Phase Dependency Analysis Bayesian Network Learning Method for Maize Carotenoid Gene Mining
Cited by: 0
Author(s): Jianxiao Liu, Zonglin Tian
Software Mentions: 2
Published: almost 8 years ago
10.1002/pld3.304
Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning
Cited by: 6
Author(s): Mehdi Momen, Madhav Bhatta, Waseem Hussain, Yu Hyeong-keun, Gota Morota
Software Mentions: 2
Published: almost 4 years ago
10.1371/journal.pone.0201355
A network perspective of engaging patients in specialist and chronic illness care: The 2014 International Health Policy Survey
Cited by: 5
Author(s): Yi-Sheng Chao, Marco Scutari, Tai-Shen Chen, Chao-Jung Wu, Madéleine Durand, Antoine Boivin, Hsing‐Chien Wu, Wei-Chih Chen
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0080735
Impact of Noise on Molecular Network Inference
Cited by: 8
Author(s): Radhakrishnan Nagarajan, Marco Scutari
Software Mentions: 2
Published: about 11 years ago
10.1371/journal.pone.0167050
Identifying Key Drivers of Return Reversal with Dynamical Bayesian Factor Graph
Cited by: 1
Author(s): Shuai Zhao, Yunhai Tong, Zitian Wang, Tan Shi
Software Mentions: 2
Published: about 8 years ago
10.1002/clc.23377
A novel machine learning algorithm, Bayesian networks model, to predict the high‐risk patients with cardiac surgery‐associated acute kidney injury
Cited by: 21
Author(s): Yang Li, Jiacheng Xu, Yimei Wang, Yunlu Zhang, Wuhua Jiang, Bo Shen, Xiaoqiang Ding
Software Mentions: 2
Published: over 4 years ago
10.1016/j.dib.2018.05.126
Synthetic populations of South African urban areas
Cited by: 11
Author(s): Johan W. Joubert
Software Mentions: 2
Published: over 6 years ago
10.3390/e21111102
Causal Analysis of Learning Performance Based on a Bayesian Network and Mutual Information
Cited by: 4
Author(s): Jing Chen, Jun Feng, Jingzhao Hu, Xia Sun
Software Mentions: 2
Published: about 5 years ago
10.1021/acs.est.1c01241
Causal Approach to Determining the Environmental Risks of Seabed Mining
Cited by: 8
Author(s): Laura Kaikkonen, Inari Helle, Kirsi Kostamo, Sakari Kuikka, Anna Törnroos, Henrik Nygård, Riikka Venesjärvi, Laura Uusitalo
Software Mentions: 2
Published: over 3 years ago
10.3389/fdata.2020.535976
Causal Learning From Predictive Modeling for Observational Data
Cited by: 11
Author(s): Nandini Ramanan, Sriraam Natarajan
Software Mentions: 2
Published: about 4 years ago
10.3389/fncom.2014.00150
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
Cited by: 7
Author(s): Bojan Mihaljević, Concha Bielza, Ruth Benavides-Piccione, Javier DeFelipe, Pedro Larrañaga
Software Mentions: 2
Published: about 10 years ago