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: cran: e1071
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/e1071
Misc Functions of the Department of Statistics, Probability
Theory Group (Formerly: E1071), TU Wien
73 versions
Latest release: almost 2 years ago
365 dependent packages
333,175 downloads last month
Papers Mentioning e1071 419
10.3389/fonc.2020.00061
The Prognostic Significance of Metabolic Syndrome and a Related Six-lncRNA Signature in Esophageal Squamous Cell CarcinomaCited by: 18
Author(s): Yu Liu, Li-Yu Wang, Hengchang Liu, Chunxiang Li, Jie He
Software Mentions: 7
Published: over 4 years ago
10.1534/g3.117.300479
Multivariate Analysis of the Cotton Seed Ionome Reveals a Shared Genetic ArchitectureCited by: 13
Author(s): Duke Pauli, Gregory R. Ziegler, Min Ren, Matthew A. Jenks, Douglas J. Hunsaker, Min Zhang, Ivan Baxter, Michael A. Gore
Software Mentions: 7
Published: over 6 years ago
10.1186/s12859-017-1711-z
GRAPE: a pathway template method to characterize tissue-specific functionality from gene expression profilesCited by: 8
Author(s): Michael Klein, David F. Stern, Hongyu Zhao
Software Mentions: 7
Published: over 7 years ago
10.3389/fnins.2020.00289
MVPA-Light: A Classification and Regression Toolbox for Multi-Dimensional DataCited by: 96
Author(s): Matthias S. Treder
Software Mentions: 7
Published: over 4 years ago
10.1186/s12967-021-02720-w
Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospitalCited by: 38
Author(s): Verena Schöning, Evangelia Liakoni, Christine Baumgartner, Aristomenis K. Exadaktylos, Wolf E. Hautz, Andrew Atkinson, Felix Hammann
Software Mentions: 7
Published: over 3 years ago
10.1186/1471-2105-13-S10-S17
Gene network modular-based classification of microarray samplesCited by: 4
Author(s): Pingzhao Hu, Shelley B. Bull, Hui Jiang
Software Mentions: 7
Published: over 12 years ago
10.1371/journal.pone.0245437
Identifying intentional injuries among children and adolescents based on Machine LearningCited by: 1
Author(s): Xiling Yin, Dan Ma, Kejing Zhu, Deyun Li
Software Mentions: 7
Published: almost 4 years ago
10.3389/fneur.2021.580440
Machine Learning Models on ADC Features to Assess Brain Changes of Children With Pierre Robin SequenceCited by: 0
Author(s): Ying Wang, Feng Yang, Meijiao Zhu, Ming Yang
Software Mentions: 7
Published: over 3 years ago
10.1098/rsos.200139
Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecologyCited by: 23
Author(s): Lorène Jeantet, Víctor Planas‐Bielsa, Simon Benhamou, Sébastien Geiger, Jordan Martin, Flora Siegwalt, Pierre Lelong, Julie Gresser, Denis Etienne, Gaëlle Hiélard, Alexandre Arqué, Sidney Régis, Nicolas Lecerf, Cédric Frouin, Abdelwahab Benhalilou, Céline Murgale, Thomas Maillet, Lucas Andreani, Guilhem Campistron, Hélène Delvaux, Christelle Guyon, Sabine Richard, Fabien Lefèbvre, Nathalie Aubert, Caroline Habold, Yvon Le Maho, Damien Chevallier
Software Mentions: 7
Published: over 4 years ago
10.1111/pce.13520
Floral plasticity: Herbivore‐species‐specific‐induced changes in flower traits with contrasting effects on pollinator visitationCited by: 48
Author(s): Quint Rusman, Erik H. Poelman, Farzana Nowrin, G. Polder, Dani Lucas‐Barbosa
Software Mentions: 7
Published: over 5 years ago
10.1073/pnas.2023170118
Global abundance estimates for 9,700 bird speciesCited by: 54
Author(s): Corey T. Callaghan, Shinichi Nakagawa, William K. Cornwell
Software Mentions: 7
Published: over 3 years ago
10.3389/fonc.2021.698278
A Focal Adhesion-Related Gene Signature Predicts Prognosis in Glioma and Correlates With Radiation Response and Immune MicroenvironmentCited by: 7
Author(s): Haonan Li, Guohui Wang, Wenyan Wang, Jie Pan, Huandi Zhou, Xuetao Han, Linlin Su, Zhenghui Ma, Liubing Hou, Xiaoying Xue
Software Mentions: 7
Published: about 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 networksCited 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/s12911-021-01463-4
Assessing elderly’s functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in timed up and go testsCited by: 8
Author(s): Lisha Yu, Yang Zhao, Hailiang Wang, Tien‐Lung Sun, Terrence E. Murphy, Kwok‐Leung Tsui
Software Mentions: 6
Published: over 3 years ago
10.1093/ve/vew029
Reconstructing contact network parameters from viral phylogeniesCited by: 11
Author(s): Rosemary M. McCloskey, Richard Liang, Art F. Y. Poon
Software Mentions: 6
Published: over 8 years ago
10.1371/journal.pone.0153355
Immune Profiles to Predict Response to Desensitization Therapy in Highly HLA-Sensitized Kidney Transplant CandidatesCited by: 20
Author(s): Julie M. Yabu, Janet Siebert, Holden T. Maecker
Software Mentions: 6
Published: over 8 years ago
10.1186/s12911-019-0991-9
Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approachesCited by: 31
Author(s): Elizabeth Ford, Philip Rooney, Seb Oliver, Richard Hoile, P. D. Hurley, Sube Banerjee, Harm van Marwijk, Jackie A Cassell
Software Mentions: 6
Published: almost 5 years ago
10.3390/molecules25061442
Discrimination of Gentiana and Its Related Species Using IR Spectroscopy Combined with Feature Selection and Stacked GeneralizationCited by: 26
Author(s): Tao Shen, Hong Yu, Yuanzhong Wang
Software Mentions: 6
Published: over 4 years ago
10.3390/molecules25112615
The Study on the hERG Blocker Prediction Using Chemical Fingerprint AnalysisCited by: 21
Author(s): Kwang-Eun Choi, Anand Balupuri, Nam Sook Kang
Software Mentions: 6
Published: over 4 years ago
10.1186/s12880-021-00581-9
Radiomic model for differentiating parotid pleomorphic adenoma from parotid adenolymphoma based on MRI imagesCited by: 11
Author(s): Lele Song, Shun-jun Chen, Wang Chen, Zhan Shi, Xiaodong Wang, Lina Song, Chen Diansen
Software Mentions: 6
Published: over 3 years ago
10.1155/2016/6794916
Determining Cutoff Point of Ensemble Trees Based on Sample Size in Predicting Clinical Dose with DNA Microarray DataCited by: 7
Author(s): Selen Yilmaz İşikhan, Erdem Karabulut, Celal Reha Alpar
Software Mentions: 6
Published: almost 9 years ago
10.1186/s12879-018-3285-4
Using Baidu index to nowcast hand-foot-mouth disease in China: a meta learning approachCited by: 21
Author(s): Yang Zhao, Qinneng Xu, Yupeng Chen, Kwok Leung Tsui
Software Mentions: 6
Published: about 6 years ago
10.3389/fgene.2021.659650
Unraveling City-Specific Microbial Signatures and Identifying Sample Origins for the Data From CAMDA 2020 Metagenomic Geolocation ChallengeCited by: 1
Author(s): Runzhi Zhang, Dorothy Ellis, Alejandro R. Walker, Susmita Datta
Software Mentions: 6
Published: over 3 years ago
10.1001/jamanetworkopen.2020.20664
Estimating Nonfatal Gunshot Injury Locations With Natural Language Processing and Machine Learning ModelsCited by: 10
Author(s): Susan T. Parker
Software Mentions: 6
Published: about 4 years ago
10.1093/bib/bbaa138
A large-scale investigation and identification of methicillin-resistant <i>Staphylococcus aureus</i> based on peaks binning of matrix-assisted laser desorption ionization-time of flight MS spectraCited by: 22
Author(s): Hsin-Yao Wang, Chia-Ru Chung, Zhuo Wang, Shangfu Li, Bo Yu Chu, Jorng-Tzong Horng, Jang Jih Lu, Tzong-Yi Lee
Software Mentions: 6
Published: over 4 years ago
10.1002/clc.23532
Predicting <scp>90 day</scp> acute heart failure readmission and death using machine <scp>learning‐supported</scp> decision analysisCited by: 20
Author(s): FarnazBabaie Sarijaloo, Jaeyoung Park, Xiang Zhong, Anita Wokhlu
Software Mentions: 6
Published: almost 4 years ago
10.2196/21331
Detection of Bulbar Involvement in Patients With Amyotrophic Lateral Sclerosis by Machine Learning Voice Analysis: Diagnostic Decision Support Development StudyCited by: 9
Author(s): Alberto Tena, Francesc Clarià, Francesc Solsona, Einar Meister, Mònica Povedano
Software Mentions: 6
Published: over 3 years ago
10.3390/s21020618
Coupling Analytical Models and Machine Learning Methods for Fast and Reliable Resolution of Effects in Multifrequency Eddy-Current SensorsCited by: 6
Author(s): Sergey Kucheryavskiy, А. В. Егоров, V. V. Polyakov
Software Mentions: 6
Published: almost 4 years ago
10.1038/s41598-020-74486-y
Personal identifiability of user tracking data during observation of 360-degree VR videoCited by: 65
Author(s): Mark Roman Miller, Fernanda Herrera, Hanseul Jun, James A. Landay, Jeremy N. Bailenson
Software Mentions: 6
Published: about 4 years ago
10.1371/journal.pone.0119425
Genome Wide Analysis of Flowering Time Trait in Multiple Environments via High-Throughput Genotyping Technique in Brassica napus L.Cited by: 27
Author(s): Lun Li, Yan Long, Libin Zhang, Jessica Dalton‐Morgan, Jacqueline Batley, Liang Yu, Jianghong Meng, Maoteng Li
Software Mentions: 6
Published: over 9 years ago
10.1038/s41598-021-88440-z
Machine-learning based prediction of Cushing’s syndrome in dogs attending UK primary-care veterinary practiceCited by: 7
Author(s): Imogen Schofield, David Brodbelt, Noel Kennedy, Stijn Niessen, David Church, Rebecca Geddes, Dan G. O’Neill
Software Mentions: 6
Published: over 3 years ago
10.1186/s13065-020-00731-0
Relaxometric learning: a pattern recognition method for T2 relaxation curves based on machine learning supported by an analytical frameworkCited by: 4
Author(s): Yasuhiro Date, Feifei Wei, Yuuri Tsuboi, Kengo Ito, Kenji Sakata, Jun Kikuchi
Software Mentions: 6
Published: over 3 years ago
10.1186/s12938-017-0416-x
Empirical study of seven data mining algorithms on different characteristics of datasets for biomedical classification applicationsCited by: 37
Author(s): Yiyan Zhang, Yi Xin, Li Qin, Jianshe Ma, Shuai Li, Xiaodan Lv, Weiqi Lv
Software Mentions: 6
Published: about 7 years ago
10.3389/fgene.2019.01111
Translated Long Non-Coding Ribonucleic Acid ZFAS1 Promotes Cancer Cell Migration by Elevating Reactive Oxygen Species Production in Hepatocellular CarcinomaCited by: 17
Author(s): Zhi-Wei Guo, Yijun Meng, Xiang-Ming Zhai, Chen Xie, Na Zhao, Min Li, Chen Zhou, Kun Li, Tiancai Liu, Xu Yang, Yangyang Wu
Software Mentions: 6
Published: almost 5 years ago
10.1186/s13643-020-01520-5
Aligning text mining and machine learning algorithms with best practices for study selection in systematic literature reviewsCited by: 10
Author(s): Evan Popoff, M. Besada, JP Jansen, Shannon Cope, Steve Kanters
Software Mentions: 6
Published: almost 4 years ago
10.1186/s43093-020-00041-w
Machine learning predictivity applied to consumer creditworthinessCited by: 13
Author(s): Maisa Cardoso Aniceto, Flávio Barboza, Herbert Kimura
Software Mentions: 6
Published: almost 4 years ago
10.1038/s41598-019-54519-x
TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studiesCited by: 4
Author(s): Jiali Sun, Qingtai Wu, Dafeng Shen, Yang Wen, Fengrong Liu, Yu Tang Gao, Jie Ding, Jin Zhang
Software Mentions: 6
Published: almost 5 years ago
10.1186/s12885-020-06741-4
A novel risk score model based on eight genes and a nomogram for predicting overall survival of patients with osteosarcomaCited by: 30
Author(s): Guangzhi Wu, Minglei Zhang
Software Mentions: 6
Published: over 4 years ago
10.1155/2016/9185496
Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame InformationCited by: 12
Author(s): Siyu Han, Yanchun Liang, Ying Liu, Wei Du
Software Mentions: 6
Published: almost 9 years ago
10.1371/journal.pone.0118573
Transcriptomics of Maternal and Fetal Membranes Can Discriminate between Gestational-Age Matched Preterm Neonates with and without Cognitive Impairment Diagnosed at 18–24 MonthsCited by: 16
Author(s): Athina Pappas, Tinnakorn Chaiworapongsa, Roberto Romero, Steven J. Korzeniewski, Josef C. Cortez, Gaurav Bhatti, Nardhy Gomez-López, Sonia S. Hassan, Seetha Shankaran, Adi L. Tarca
Software Mentions: 6
Published: over 9 years ago
10.3390/ani9070455
Music Festival Makes Hedgehogs Move: How Individuals Cope Behaviorally in Response to Human-Induced StressorsCited by: 13
Author(s): Wanja Rast, Leon M. F. Barthel, Anne Berger
Software Mentions: 6
Published: over 5 years ago
10.1371/journal.pone.0207192
Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning modelsCited by: 66
Author(s): Cheng-Shyuan Rau, Pao‐Jen Kuo, Peng‐Chen Chien, Chun-Ying Huang, Hsiao-Yun Hsieh, Ching‐Hua Hsieh
Software Mentions: 6
Published: almost 6 years ago
10.1186/1752-0509-8-S4-S5
Network-based biomarkers enhance classical approaches to prognostic gene expression signaturesCited by: 18
Author(s): Rebecca Barter, Sarah-Jane Schramm, Graham J. Mann, Jean Yee Hwa Yang
Software Mentions: 6
Published: almost 10 years ago
10.1371/journal.pone.0028966
Understanding and Classifying Metabolite Space and Metabolite-LikenessCited by: 55
Author(s): Julio E. Peironcely, Theo H. Reijmers, L Coulier, Andreas Bender, Thomas Hankemeier
Software Mentions: 6
Published: almost 13 years ago
10.1371/journal.pone.0205291
CytoBinning: Immunological insights from multi-dimensional dataCited by: 1
Author(s): Yang Shen, Benjamin Chaigne-Delalande, Richard W. Lee, Wolfgang Losert
Software Mentions: 6
Published: about 6 years ago
10.1371/journal.pone.0237713
Isn’t high school bad enough already? Rates of gender harassment and institutional betrayal in high school and their association with trauma-related symptomsCited by: 9
Author(s): Monika N Lind, Alexis A. Adams-Clark, Jennifer J. Freyd
Software Mentions: 6
Published: about 4 years ago
10.1186/1471-2105-15-274
A feature selection method for classification within functional genomics experiments based on the proportional overlapping scoreCited by: 38
Author(s): Osama Mahmoud, Andrew Harrison, Aris Perperoglou, Asma Gul, Zardad Khan, Metodi V. Metodiev, Berthold Lausen
Software Mentions: 6
Published: about 10 years ago
10.1186/s13104-017-2540-x
The effect of mislabeled phenotypic status on the identification of mutation-carriers from SNP genotypes in dairy cattleCited by: 6
Author(s): Stefano Biffani, Hubert Pausch, Hermann Schwarzenbacher, Filippo Biscarini
Software Mentions: 6
Published: over 7 years ago
10.1038/s41598-017-08235-z
Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniquesCited by: 21
Author(s): Doudou Guo, J.A. de Juan, Liu Chang, Zhang Jing-jin, Dan Huang
Software Mentions: 6
Published: about 7 years ago
10.3390/diagnostics11091686
Radiomics and Machine Learning Can Differentiate Transient Osteoporosis from Avascular Necrosis of the HipCited by: 15
Author(s): Michail E. Klontzas, Georgios C. Manikis, Katerina Nikiforaki, Evangelia E. Vassalou, Konstantinos Spanakis, Ioannis Stathis, George A. Kakkos, Nikolas Matthaiou, Aristeidis Zibis, Kostas Marias, Apostolos H. Karantanas
Software Mentions: 6
Published: about 3 years ago
10.3389/fmicb.2019.02120
Incorporating Statistical Test and Machine Intelligence Into Strain Typing of Staphylococcus haemolyticus Based on Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass SpectrometryCited by: 18
Author(s): Chia-Ru Chung, Hsin-Yao Wang, Frank Lien, Yi-Ju Tseng, Chun‐Hsien Chen, Tzong-Yi Lee, Tsui Ping Liu, Jorng-Tzong Horng, Jang Jih Lu
Software Mentions: 6
Published: about 5 years ago
10.1098/rsob.160183
Prediction and validation of protein–protein interactors from genome-wide DNA-binding data using a knowledge-based machine-learning approachCited by: 10
Author(s): Ashley J. Waardenberg, Homan Bernou, Mohamed Salim, Richard P. Harvey, Romaric Bouveret
Software Mentions: 6
Published: about 8 years ago
10.1186/s13007-021-00761-2
Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imageryCited by: 14
Author(s): Kenichi Tatsumi, Noa Igarashi, Xiao Mengxue
Software Mentions: 6
Published: over 3 years ago
10.1186/s12859-019-3178-6
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning modelsCited by: 8
Author(s): Xiaochuan Wang, Chen Li, Fuyi Li, Varun Sharma, Jiangning Song, Geoffrey I. Webb
Software Mentions: 6
Published: almost 5 years ago
10.3390/ijms22094394
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case SurveyCited by: 25
Author(s): Antonio Jesús Banegas-Luna, Jorge Peña‐García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez‐Sánchez
Software Mentions: 6
Published: over 3 years ago
10.1515/med-2019-0067
Prediction of recurrence-associated death from localized prostate cancer with a charlson comorbidity index–reinforced machine learning modelCited by: 12
Author(s): Yi-Ting Lin, Michael Tian-Shyug Lee, Yen-Chun Huang, Chih-Kuang Liu, Yi-Tien Li, Mingchih Chen
Software Mentions: 6
Published: almost 6 years ago
10.1186/s12891-021-04400-8
Predicting the duration of sickness absence due to knee osteoarthritis: a prognostic model developed in a population-based cohort in SwedenCited by: 2
Author(s): Johanna Holm, Paolo Frumento, Gino Almondo, Katalin Gémes, Matteo Bottai, Kristina Alexanderson, Emilie Friberg, Kristin Farrants
Software Mentions: 6
Published: over 3 years ago
10.1038/s41598-017-13056-1
A machine-learning heuristic to improve gene score prediction of polygenic traitsCited by: 63
Author(s): Guillaume Paré, Mao S, Wei Q. Deng
Software Mentions: 6
Published: about 7 years ago
10.7717/peerj.7969
Machine learning analysis to identify the association between risk factors and onset of nosocomial diarrhea: a retrospective cohort studyCited by: 4
Author(s): Ken Kurisu, Kazuhiro Yoshiuchi, Kei Ogino, Toshimi Oda
Software Mentions: 6
Published: about 5 years ago
10.3390/diagnostics9010008
Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar PatientsCited by: 24
Author(s): Laura A. Zanella-Calzada, Carlos E. Galván-Tejada, Nubia M. Chávez-Lamas, Ma. del Carmen Gracia-Cortés, Rafael Magallanes‐Quintanar, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales
Software Mentions: 6
Published: almost 6 years ago
10.1155/2018/6275435
A Framework of Rebalancing Imbalanced Healthcare Data for Rare Events’ Classification: A Case of Look-Alike Sound-Alike Mix-Up Incident DetectionCited by: 31
Author(s): Yang Zhao, Zoie Shui-Yee Wong, Kwok Leung Tsui
Software Mentions: 6
Published: almost 7 years ago
10.1177/1352458520975323
Accurate classification of secondary progression in multiple sclerosis using a decision treeCited by: 12
Author(s): Ryan Ramanujam, Feng Zhu, Katharina Fink, Virginija Danylaitė Karrenbauer, Johannes Lorscheider, Pascal Benkert, Elaine Kingwell, Helen Tremlett, Jan Hillert, Ali Manouchehrinia
Software Mentions: 5
Published: almost 4 years ago
10.3389/fgene.2021.706814
A Nomogram Integrating Ferroptosis- and Immune-Related Biomarkers for Prediction of Overall Survival in Lung AdenocarcinomaCited by: 2
Author(s): Mengyu Chai, Xiuchun Li, Yaxin Zhang, Yemeng Tang, Pingping Shu, Lin Jia, Ke–Qing Shi, Liangxing Wang, Xiaoying Huang
Software Mentions: 5
Published: about 3 years ago
10.1186/1471-2105-11-523
Class prediction for high-dimensional class-imbalanced dataCited by: 169
Author(s): Rok Blagus, Lara Lusa
Software Mentions: 5
Published: about 14 years ago
10.1155/2014/413801
Validation in Principal Components Analysis Applied to EEG DataCited by: 10
Author(s): J. C. G. D. Costa, Paulo José Guimarães Da-Silva, R. M. V. R. Almeida, Antonio Fernando Catelli Infantosi
Software Mentions: 5
Published: almost 11 years ago
10.1186/1471-2105-13-59
A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platformCited by: 97
Author(s): Joanna Zhuang, Martin Widschwendter, Andrew E. Teschendorff
Software Mentions: 5
Published: over 12 years ago
10.1186/s40168-018-0612-3
Design and application of a novel two-amplicon approach for defining eukaryotic microbiotaCited by: 16
Author(s): Ana Popović, Céline Bourdon, Pauline W. Wang, David S. Guttman, Wieger Voskuijl, Michael E. Grigg, Robert Bandsma, John Parkinson
Software Mentions: 5
Published: almost 6 years ago
10.1099/mgen.0.000366
AB_SA: Accessory genes-Based Source Attribution – tracing the source of Salmonella enterica Typhimurium environmental strainsCited by: 5
Author(s): Laurent Guillier, Michèle Gourmelon, Solen Lozach, Sabrina Cadel-Six, Marie-Léone Vignaud, Nanna Sophia Mucha Munck, Tine Hald, Federica Di Palma
Software Mentions: 5
Published: over 4 years ago
10.3389/fgene.2021.728913
A Unified Framework for Inattention Estimation From Resting State Phase Synchrony Using Machine LearningCited by: 1
Author(s): Xun‐Heng Wang, Lihua Li
Software Mentions: 5
Published: about 3 years ago
10.3390/healthcare9060710
The Prediction Model of Medical Expenditure Appling Machine Learning Algorithm in CABG PatientsCited by: 4
Author(s): Yen-Chun Huang, Shao‐Jung Li, Mingchih Chen, Tian–Shyug Lee
Software Mentions: 5
Published: over 3 years ago
10.1038/s41374-020-0455-y
Multiclass cancer classification in fresh frozen and formalin-fixed paraffin-embedded tissue by DigiWest multiplex protein analysisCited by: 2
Author(s): Teresa Bockmayr, Gerrit Erdmann, Denise Treue, Philipp Jurmeister, Julia Schneider, Anja Arndt, Daniel Heim, Michael Bockmayr, Christoph Sachse, Frederick Klauschen
Software Mentions: 5
Published: about 4 years ago
10.1186/s13027-021-00365-4
Immunophenotypic characterization of TCR γδ T cells and MAIT cells in HIV-infected individuals developing Hodgkin’s lymphomaCited by: 2
Author(s): Christina K. S. Muller, Julian Spagnuolo, Annette Audigé, Andrew Chancellor, Doris Russenberger, Alexandra U. Scherrer, Matthias Hoffmann, Roger D. Kouyos, Manuel Battegay, Gennaro De Libero, Roberto F. Speck
Software Mentions: 5
Published: over 3 years ago
10.3390/ijerph17186449
Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary AngiographyCited by: 18
Author(s): Parastoo Golpour, Majid Ghayour‐Mobarhan, Azadeh Saki, Habibollah Esmaily, Ali Taghipour, Mohammad Tajfard, Hamideh Ghazizadeh, Mohsen Moohebati, Gordon A. Ferns
Software Mentions: 5
Published: about 4 years ago
10.1155/2015/623619
Combined Methods for Diabetic Retinopathy Screening, Using Retina Photographs and Tear Fluid Proteomics BiomarkersCited by: 34
Author(s): Zsuzsa Török, Tünde Pető, Éva Csősz, Edit Tukacs, Ágnes Molnár, András Berta, József Tözsér, András Hajdú, Valéria Nagy, Bálint Domokos, Adrienne Csutak
Software Mentions: 5
Published: almost 10 years ago
10.1186/s12859-019-3163-0
Predictive modelling using pathway scores: robustness and significance of pathway collectionsCited by: 16
Author(s): Marcelo P. Segura-Lepe, Hector C. Keun, Timothy M. D. Ebbels
Software Mentions: 5
Published: about 5 years ago
10.3390/bios11070228
Building a Cardiovascular Disease Prediction Model for Smartwatch Users Using Machine Learning: Based on the Korea National Health and Nutrition Examination SurveyCited by: 13
Author(s): Minjeong Kim
Software Mentions: 5
Published: over 3 years ago
10.1186/1471-2105-9-88
Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry dataCited by: 43
Author(s): Wouter Meuleman, Judith Y. M. N. Engwegen, Marie-Christine W. Gast, Jos H. Beijnen, Marcel J. T. Reinders, Lodewyk Wessels
Software Mentions: 5
Published: over 16 years ago
10.3389/fgene.2021.676449
MeImmS: Predict Clinical Benefit of Anti-PD-1/PD-L1 Treatments Based on DNA Methylation in Non-small Cell Lung CancerCited by: 8
Author(s): Shuai Shang, Xin Li, Yue Gao, Shuang Guo, Di Sun, Hongliang Zhou, Yue Sun, Peng Wang, Hui Zhi, Jing Bai, Shangwei Ning
Software Mentions: 5
Published: over 3 years ago
10.1371/journal.pone.0006287
The Validation and Assessment of Machine Learning: A Game of Prediction from High-Dimensional DataCited by: 25
Author(s): Tune H. Pers, Anders Albrechtsen, Claus Holst, Thorkild I. A. Sørensen, Thomas Alexander Gerds
Software Mentions: 5
Published: over 15 years ago
10.1038/s41598-021-96966-5
Molecular characterization and cell type composition deconvolution of fibrosis in NAFLDCited by: 26
Author(s): Lorena Pantano, George Agyapong, Yang Shen, Zhuo Zhu, Francesc Fernández-Albert, Werner Rust, Dagmar Knebel, Jon Hill, Carine M. Boustany-Kari, Julia F. Doerner, Jörg F. Rippmann, Raymond T. Chung, Shannan Ho Sui, Eric J. Simon, Kathleen E. Corey
Software Mentions: 5
Published: about 3 years ago
10.1038/s41598-020-62573-z
Quantification for non-targeted LC/MS screening without standard substancesCited by: 64
Author(s): Jaanus Liigand, Tingting Wang, Joshua J. Kellogg, Jørn Smedsgaard, Nadja B. Cech, Anneli Kruve
Software Mentions: 5
Published: over 4 years ago
10.1002/2211-5463.12572
Identification of nine micro <scp>RNA</scp> s as potential biomarkers for lung adenocarcinomaCited by: 15
Author(s): Zhigang Ren, Xiaobin Hou, Xiaodong Tian, Jialong Guo, Zhang Lian-bin, Zhiqiang Xue, Jiao Deng, Shaowei Zhang, Junyi Pan, Xiangyang Chu
Software Mentions: 5
Published: almost 6 years ago
10.1186/1471-2407-9-164
Do serum biomarkers really measure breast cancer?Cited by: 40
Author(s): Jonathan L. Jesneck, Sayan Mukherjee, Zoya R. Yurkovetsky, Merlise A. Clyde, Jeffrey R. Marks, Anna Lokshin, Joseph Y. Lo
Software Mentions: 5
Published: over 15 years ago
10.6026/97320630013327
Robust Feature Selection Approach for Patient Classification using Gene Expression DataCited by: 6
Author(s): Shahjaman, Nishith Kumar, Shakil Ahmed, AnjumanAra Begum, S. M. Shahinul Islam, Md. Nurul Haque Mollah
Software Mentions: 5
Published: about 7 years ago
10.1371/journal.pone.0212108
Drug sensitivity prediction with high-dimensional mixture regressionCited by: 17
Author(s): Qianyun Li, Runmin Shi, Faming Liang
Software Mentions: 5
Published: over 5 years ago
10.18632/aging.103980
A predictive model for the severity of COVID-19 in elderly patientsCited by: 16
Author(s): Furong Zeng, Guangtong Deng, Yanhui Cui, Yan Zhang, Minhui Dai, Lingli Chen, Duoduo Han, Wen Li, Kehua Guo, Xiang Chen, Min Shen, Pinhua Pan
Software Mentions: 5
Published: almost 4 years ago
10.1371/journal.pone.0100736
Structure-Based Prediction of Asparagine and Aspartate Degradation Sites in Antibody Variable RegionsCited by: 125
Author(s): Jasmin F. Sydow, Florian Lipsmeier, Vincent Larraillet, Maximiliane Hilger, Bjoern Mautz, Michael Mølhøj, Jan Kuentzer, Stefan Klostermann, Juergen Schoch, Hans R. Voelger, Jörg T. Regula, Patrick Cramer, Apollon Papadimitriou, Hubert Kettenberger
Software Mentions: 5
Published: over 10 years ago
10.1186/s12885-021-08647-1
Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinomaCited by: 12
Author(s): Meng-Xiang Li, Xiaomeng Sun, Weigang Cheng, Han‐Li Ruan, Ke Liu, Ci Pan, Hai-Jun Xu, Shegan Gao, Xiaoshan Feng, Yi-Jun Qi
Software Mentions: 5
Published: about 3 years ago
10.3389/fonc.2020.599888
Non-Invasive Radiomics Approach Predict Invasiveness of Adamantinomatous Craniopharyngioma Before SurgeryCited by: 11
Author(s): Guofo Ma, Jie Kang, Ning Qiao, Bochao Zhang, Xuzhu Chen, Guilin Li, Zhixian Gao, Songbai Gui
Software Mentions: 5
Published: over 3 years ago
10.3389/fonc.2018.00674
Identification of Serum MicroRNAs as Novel Biomarkers in Esophageal Squamous Cell Carcinoma Using Feature Selection AlgorithmsCited by: 28
Author(s): Deqiang Zheng, Yuanjie Ding, Qing Ma, Lei Zhao, Xudong Guo, Yi Shen, Yan He, Wenqiang Wei, Fen Liu
Software Mentions: 5
Published: almost 6 years ago
10.1038/s41598-018-25679-z
A machine learning model with human cognitive biases capable of learning from small and biased datasetsCited by: 38
Author(s): Hidetaka Taniguchi, Hiroshi Satō, Tomohiro Shirakawa
Software Mentions: 5
Published: over 6 years ago
10.3389/fonc.2021.649093
Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular CarcinomaCited by: 5
Author(s): Maoqing Lu, Qing Sheng, Xupin Jiang, Diguang Wen, Ronggui Zhang, Zuojin Liu
Software Mentions: 5
Published: over 3 years ago
10.1371/journal.pgen.1002389
Genomic Distribution and Inter-Sample Variation of Non-CpG Methylation across Human Cell TypesCited by: 340
Author(s): Michael J. Ziller, Fabian Müller, Jing Liao, Yingying Zhang, Hongcang Gu, Christoph Bock, Patrick Boyle, Charles B. Epstein, B Bernstein, Thomas Lengauer, Andreas Gnirke, Alexander Meissner
Software Mentions: 5
Published: almost 13 years ago
10.1038/s41598-018-30778-y
Predators Show Seasonal Predilections for Model Clay Spiders in an Urban EnvironmentCited by: 9
Author(s): Leanda Denise Mason, Grant Wardell‐Johnson, Sarah Luxton, Philip W. Bateman
Software Mentions: 5
Published: about 6 years ago
10.1371/journal.pcbi.0030026
Functional Impact of Missense Variants in BRCA1 Predicted by Supervised LearningCited by: 56
Author(s): Rachel Karchin, Alvaro N.A. Monteiro, Sean V. Tavtigian, Marcelo A. Carvalho, Andrej S̆ali
Software Mentions: 5
Published: over 17 years ago
10.1371/journal.pcbi.1006952
Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence featuresCited by: 20
Author(s): Craig A. Magaret, David Benkeser, Brian D. Williamson, Bhavesh Borate, Lindsay N. Carpp, Ivelin S. Georgiev, Ian Setliff, Adam S. Dingens, Noah Simon, Marco Carone, Christopher E. Simpkins, David C. Montefiori, Galit Alter, Wenhan Yu, Michal Juraska, Paul T. Edlefsen, Shelly Karuna, Nyaradzo Mgodi, Srilatha Edugupanti, Peter B. Gilbert
Software Mentions: 5
Published: over 5 years ago
10.1371/journal.pcbi.0030116
Machine Learning and Its Applications to BiologyCited by: 482
Author(s): Adi L. Tarca, Vincent J. Carey, Xuewen Chen, Roberto Romero, Sorin Drăghici
Software Mentions: 5
Published: over 17 years ago
10.1038/srep43541
Early spatiotemporal-specific changes in intermediate signals are predictive of cytotoxic sensitivity to TNFα and co-treatmentsCited by: 9
Author(s): Lit‐Hsin Loo, Nicola Bougen-Zhukov, Wei-Ling Cecilia Tan
Software Mentions: 5
Published: over 7 years ago
10.1038/s41598-017-11844-3
Monitoring osteoarthritis progression using near infrared (NIR) spectroscopyCited by: 24
Author(s): Isaac O. Afara, Indira Prasadam, Zohreh Arabshahi, Yin Xiao, Adekunle Oloyede
Software Mentions: 5
Published: about 7 years ago
10.1186/s12888-015-0685-5
Distinguishing bipolar and major depressive disorders by brain structural morphometry: a pilot studyCited by: 66
Author(s): Gabriel Pui Cheong Fung, Yi Deng, Qing Zhao, Zhi Li, Miao Qu, Li Ke, Yonghu Zeng, Jin Zhou, Yantao Ma, Xin Yu, Zhiren Wang, David Shum, Raymond C.K. Chan
Software Mentions: 5
Published: almost 9 years ago