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: xgboost

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/xgboost

Extreme Gradient Boosting
32 versions
Latest release: over 1 year ago
131 dependent packages
63,121 downloads last month

Papers Mentioning xgboost 207

10.1186/s13073-019-0679-x
pTuneos: prioritizing tumor neoantigens from next-generation sequencing data
Cited by: 36
Author(s): Chi Zhou, Zhiting Wei, Zhanbing Zhang, Biyu Zhang, Chenyu Zhu, Ke Chen, Guohui Chuai, Sheng Qu, Lu Xie, Yong Gao, Qi Liu
Software Mentions: 5
Published: about 5 years ago
10.1371/journal.pcbi.1008856
Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment
Cited by: 26
Author(s): Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Christophe Botella, François Munoz, Alexis Joly
Software Mentions: 5
Published: over 3 years ago
10.1186/s12859-021-04006-w
Comparative analysis and prediction of nucleosome positioning using integrative feature representation and machine learning algorithms
Cited by: 3
Author(s): Guoqing Han, Qi Li, Ying Li
Software Mentions: 5
Published: over 3 years ago
10.3389/fcvm.2021.619386
Low-Density Lipoprotein Cholesterol 4: The Notable Risk Factor of Coronary Artery Disease Development
Cited by: 7
Author(s): Dongmei Wu, Qiuju Yang, Baohua Su, Hao Jia, MA Hui-rong, Weilan Yuan, Junhui Gao, Feifei Ding, Yue Xu, Huifeng Wang, Jiangman Zhao, Bingqiang Li
Software Mentions: 5
Published: over 3 years ago
10.2196/18001
Development of Phenotyping Algorithms for the Identification of Organ Transplant Recipients: Cohort Study
Cited by: 4
Author(s): Lee Wheless, Laura X. Baker, L Edwards, Nimay Anand, Kelly A. Birdwell, Allison Hanlon, Mary‐Margaret Chren
Software Mentions: 5
Published: almost 4 years ago
10.1371/journal.pone.0188310
Inattention in primary school is not good for your future school achievement—A pattern classification study
Cited by: 8
Author(s): Astri J. Lundervold, Tormod Bøe
Software Mentions: 5
Published: almost 7 years ago
10.1186/s13321-019-0384-1
Open-source QSAR models for pKa prediction using multiple machine learning approaches
Cited by: 82
Author(s): Kamel Mansouri, Neal F. Cariello, Alexandru Korotcov, Valery Tkachenko, Christopher M. Grulke, Catherine S. Sprankle, David Allen, Warren Casey, Nicole Kleinstreuer, Antony J. Williams
Software Mentions: 5
Published: about 5 years ago
10.1371/journal.pone.0229881
Impacts of climate change on agro-climatic suitability of major food crops in Ghana
Cited by: 38
Author(s): Abel Chemura, Bernhard Schauberger, Christoph Gornott
Software Mentions: 5
Published: over 4 years ago
10.1371/journal.pone.0243105
Machine learning-based e-commerce platform repurchase customer prediction model
Cited by: 14
Author(s): Cheng-Ju Liu, Tienshou Huang, Ping-Tsan Ho, Jui-Chan Huang, Ching-Tang Hsieh
Software Mentions: 5
Published: almost 4 years ago
10.1098/rsos.201795
Understanding spatial patterns in rape reporting delays
Cited by: 5
Author(s): Konstantin Klemmer, Daniel B. Neill, Stephen A. Jarvis
Software Mentions: 5
Published: almost 4 years ago
10.1038/s41598-021-92725-8
Lung adenocarcinoma and lung squamous cell carcinoma cancer classification, biomarker identification, and gene expression analysis using overlapping feature selection methods
Cited by: 43
Author(s): Joe W. Chen, Joseph M. Dhahbi
Software Mentions: 4
Published: over 3 years ago
10.1186/s12859-019-2637-4
CERENKOV2: improved detection of functional noncoding SNPs using data-space geometric features
Cited by: 4
Author(s): Yao Yao, Zheng Liu, Qi Wei, Stephen A. Ramsey
Software Mentions: 4
Published: almost 6 years ago
10.14283/jpad.2020.44
PREDICTING AMYLOID BURDEN TO ACCELERATE RECRUITMENT OF SECONDARY PREVENTION CLINICAL TRIALS
Cited by: 19
Author(s): Oliver Langford, Rema Raman, Reisa A. Sperling, Jeffrey L. Cummings, Chung-Kai Sun, Gustavo Jimenez‐Maggiora, Paul S. Aisen, Michael C. Donohue
Software Mentions: 4
Published: almost 5 years ago
10.1186/s12859-019-3170-1
Quality control of imbalanced mass spectra from isotopic labeling experiments
Cited by: 6
Author(s): Tianjun Li, Long Chen, Min Gan
Software Mentions: 4
Published: about 5 years ago
10.1038/s41597-019-0345-6
Depth-to-bedrock map of China at a spatial resolution of 100 meters
Cited by: 38
Author(s): Fapeng Yan, Wei Shangguan, Jing Zhang, Bifeng Hu
Software Mentions: 4
Published: almost 5 years ago
10.3390/s20154228
Machine Learning Modelling and Feature Engineering in Seismology Experiment
Cited by: 6
Author(s): Michail Brykov, Ivan Petryshynets, Catalin I. Pruncu, В. Г. Ефременко, Danil Yurievich Pimenov, Khaled Giasin, Serhii Sylenko, Szymon Wojciechowski
Software Mentions: 4
Published: over 4 years ago
10.3390/cancers13153768
Machine Learning Approaches to Classify Primary and Metastatic Cancers Using Tissue of Origin-Based DNA Methylation Profiles
Cited by: 12
Author(s): Vijayachitra Modhukur, Shakshi Sharma, Mainak Mondal, Ankita Lawarde, Keiu Kask, Rajesh Sharma, Andres Salumets
Software Mentions: 4
Published: over 3 years ago
10.1371/journal.pntd.0008056
Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia
Cited by: 33
Author(s): Naizhuo Zhao, Katia Charland, Mabel Carabalí, Elaine O. Nsoesie, Mathieu Maheu‐Giroux, Erin E. Rees, Mengru Yuan, César García Balaguera, Gloria Jaramillo Ramirez, Kate Zinszer
Software Mentions: 4
Published: about 4 years ago
10.3389/fonc.2020.588557
Intratumor Heterogeneity of MYO18A and FBXW7 Variants Impact the Clinical Outcome of Stage III Colorectal Cancer
Cited by: 6
Author(s): Peng Lin, Yu Min Yeh, Bo Lin, Shao Chieh Lin, Ren Hao Chan, Po Chuan Chen, Meng‐Ru Shen
Software Mentions: 4
Published: about 4 years ago
10.2196/21222
Predictive Models for Neonatal Follow-Up Serum Bilirubin: Model Development and Validation
Cited by: 2
Author(s): Joseph H. Chou
Software Mentions: 4
Published: about 4 years ago
10.1371/journal.pone.0242334
Predicting time to graduation at a large enrollment American university
Cited by: 6
Author(s): John M. Aiken, Riccardo De Bin, M. Hjorth‐Jensen, Marcos D. Caballero
Software Mentions: 4
Published: about 4 years ago
10.3390/vaccines8040709
Bacterial Immunogenicity Prediction by Machine Learning Methods
Cited by: 9
Author(s): Иван Димитров, Nevena Zaharieva, Irini Doytchinova
Software Mentions: 4
Published: almost 4 years ago
10.1038/s41598-019-45283-z
Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approach
Cited by: 61
Author(s): Asuka Oyama, Yasuaki Hiraoka, Ippei Obayashi, Yusuke Saikawa, Shigeru Furui, Kenshiro Shiraishi, Shinobu Kumagai, Tatsuya Hayashi, J. Kotoku
Software Mentions: 4
Published: over 5 years ago
10.1038/s41598-019-45236-6
In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data
Cited by: 55
Author(s): Remzi Çelebi, Oliver Bear Don't Walk, Rajiv Movva, Semih Alpsoy, Michel Dumontier
Software Mentions: 4
Published: over 5 years ago
10.3389/fgene.2019.00600
Five-Feature Model for Developing the Classifier for Synergistic vs. Antagonistic Drug Combinations Built by XGBoost
Cited by: 38
Author(s): Xiangjun Ji, Weida Tong, Zhichao Liu, Tieliu Shi
Software Mentions: 4
Published: over 5 years ago
10.1093/bioinformatics/btz470
Scaling tree-based automated machine learning to biomedical big data with a feature set selector
Cited by: 216
Author(s): Trang T. Le, Weixuan Fu, Jason H. Moore
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0241920
Emergency department routine data and the diagnosis of acute ischemic heart disease in patients with atypical chest pain
Cited by: 2
Author(s): Ki Hong Kim, Jeong Ho Park, Young Sun Ro, Ki Jeong Hong, Kyoung Jun Song, Sang Do Shin
Software Mentions: 4
Published: about 4 years ago
10.1371/journal.pbio.3000633
Mapping trends in insecticide resistance phenotypes in African malaria vectors
Cited by: 80
Author(s): Penelope A. Hancock, Chantal Hendriks, Julie Anne A. Tangena, Harry S. Gibson, Janet Hemingway, Michael Coleman, Peter W. Gething, Ewan Cameron, Samir Bhatt, Catherine L. Moyes
Software Mentions: 4
Published: over 4 years ago
10.2196/15394
Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study
Cited by: 18
Author(s): Hao-Yuan Cheng, Yu-Chun Wu, Min-Hau Lin, Yu-Lun Liu, Yue-Yang Tsai, Jo-Hua Wu, Ke-Han Pan, Chih-Jung Ke, Chiu-Mei Chen, Liu Ding-ping, I‐Feng Lin, Jen-Hsiang Chuang
Software Mentions: 4
Published: over 4 years ago
10.1038/s41598-020-71798-x
Semi-automated identification of biological control agent using artificial intelligence
Cited by: 2
Author(s): Jhih‐Rong Liao, Hsiao‐Chin Lee, Ming‐Chih Chiu, Chiun‐Cheng Ko
Software Mentions: 4
Published: about 4 years ago
10.1534/g3.120.401244
Bayesian and Machine Learning Models for Genomic Prediction of Anterior Cruciate Ligament Rupture in the Canine Model
Cited by: 12
Author(s): Louise Baker, Mehdi Momen, K.C.K. Chan, Nathan Bollig, Fernando Brito Lopes, Guilherme J. M. Rosa, Rory J. Todhunter, Emily E. Binversie, Susannah J. Sample, Peter Muir
Software Mentions: 4
Published: over 4 years ago
10.1038/s41598-020-73505-2
Germline BRCA 1-2 status prediction through ovarian ultrasound images radiogenomics: a hypothesis generating study (PROBE study)
Cited by: 12
Author(s): Camilla Nero, Francesca Ciccarone, Luca Boldrini, Jacopo Lenkowicz, Ida Paris, Ettore Capoluongo, Antonia Carla Testa, Anna Fagotti, Vincenzo Valentini, Giovanni Scambia
Software Mentions: 4
Published: about 4 years ago
10.1371/journal.pcbi.1007511
VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning
Cited by: 44
Author(s): Jiwoong Kim, David E. Greenberg, Reed Pifer, Shuang Jiang, Guanghua Xiao, Samuel A. Shelburne, Andrew Y. Koh, Yang Xie, Xiaowei Zhan
Software Mentions: 4
Published: almost 5 years ago
10.1371/journal.pone.0240200
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients
Cited by: 27
Author(s): Miguel Marcos, Moncef Belhassen‐García, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, Raúl Azibeiro, P. Ignacio Dorado-Díaz, Edgard Marcano-Millán, Carolina García-Vidal, María-Teresa Moreiro-Barroso, Noelia Cubino-Bóveda, M. Ángeles Pérez-García, Beatriz Rodríguez‐Alonso, Daniel Encinas-Sánchez, Sonia Peña-Balbuena, Eduardo Sobejano-Fuertes, Sandra Inés, Cristina Carbonell, Miriam López-Parra, Fernanda Andrade-Meira, Amparo López‐Bernús, C. Lorenzo, Adela Carpio, David Polo-San-Ricardo, Miguel-Vicente Sánchez-Hernández, Rafael Borrás, Víctor Sagredo-Meneses, Pedro-Luis Sánchez, Àlex Soriano, José-Ángel Martín-Oterino
Software Mentions: 4
Published: over 3 years ago
10.2196/17364
Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm Development
Cited by: 25
Author(s): Can Hou, Xiaorong Zhong, Ping He, Bin Xu, Sha Diao, Yi Fang, Hong Zheng, Jiayuan Li
Software Mentions: 4
Published: over 4 years ago
10.3389/fneur.2019.00450
Cross-Sectional and Longitudinal MRI Brain Scans Reveal Accelerated Brain Aging in Multiple Sclerosis
Cited by: 61
Author(s): Einar August Høgestøl, Tobias Kaufmann, Gro Owren Nygaard, Mona K. Beyer, Piotr Sowa, Jan Egil Nordvik, Knut-Kristian Kolskår, Geneviève Richard, Ole A. Andreassen, Hanne F. Harbo, Lars T. Westlye
Software Mentions: 4
Published: over 5 years ago
10.3390/cancers13163965
Multicenter DSC–MRI-Based Radiomics Predict IDH Mutation in Gliomas
Cited by: 21
Author(s): Georgios C. Manikis, Georgios Ioannidis, Loizos Siakallis, Katerina Nikiforaki, Cassia Michael, Diana Vozlic, Katarina Surlan-Popović, Max Wintermark, Sotirios Bisdas, Kostas Marias
Software Mentions: 4
Published: over 3 years ago
10.1186/s12859-020-03611-5
DUGMO: tool for the detection of unknown genetically modified organisms with high-throughput sequencing data for pure bacterial samples
Cited by: 1
Author(s): Julie Hurel, Sophie Schbath, Stéphanie Bougeard, Mathieu Rolland, Mauro Petrillo, Fabrice Touzain
Software Mentions: 4
Published: over 4 years ago
10.1107/S2052252520008830
Machine learning deciphers structural features of RNA duplexes measured with solution X-ray scattering
Cited by: 11
Author(s): Yen-Lin Chen, Lois Pollack
Software Mentions: 4
Published: over 4 years ago
10.1093/gigascience/giaa110
Interpreting k-mer–based signatures for antibiotic resistance prediction
Cited by: 12
Author(s): Magali Jaillard, Mattia Palmieri, Alex van Belkum, Pierre Mahé
Software Mentions: 4
Published: about 4 years ago
10.1038/s41598-021-90827-x
Ensemble machine learning of factors influencing COVID-19 across US counties
Cited by: 11
Author(s): David McCoy, Whitney Mgbara, Nir Horvitz, Wayne M. Getz, Alan Hubbard
Software Mentions: 4
Published: over 3 years ago
10.3390/s21082728
Virtual Sensing and Sensors Selection for Efficient Temperature Monitoring in Indoor Environments
Cited by: 13
Author(s): Andrea Brunello, Andrea Urgolo, Federico Pittino, András Montvay, Angelo Montanari
Software Mentions: 4
Published: over 3 years ago
10.3390/cancers13061192
Homology-Based Image Processing for Automatic Classification of Histopathological Images of Lung Tissue
Cited by: 38
Author(s): Motohiro Nishio, Masaki Nishio, Naoe Jimbo, Kazuaki Nakane
Software Mentions: 3
Published: over 3 years ago
10.1155/2020/6217392
Risk Factors of Cerebral Infarction and Myocardial Infarction after Carotid Endarterectomy Analyzed by Machine Learning
Cited by: 5
Author(s): Peng Bai, Yang Zhou, Yuan Liu, Gang Li, Zhengqian Li, Tao Wang, Xiaoru Guo
Software Mentions: 3
Published: about 4 years ago
10.2196/26075
Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal: Longitudinal Cohort Study
Cited by: 10
Author(s): André Patrício, Rafael S. Costa, Rui Henriques
Software Mentions: 3
Published: over 3 years ago
10.1155/2019/9056402
Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers
Cited by: 25
Author(s): Konrad Pieszko, Jarosław Hiczkiewicz, Paweł Budzianowski, Jan Budzianowski, Janusz Rzeźniczak, Karolina Pieszko, Paweł Burchardt
Software Mentions: 3
Published: almost 6 years ago
10.1371/journal.pone.0256831
Glioblastoma signature in the DNA of blood-derived cells
Cited by: 2
Author(s): Siddharth Jain, Bijan Mazaheri, Netanel Raviv, Jehoshua Bruck
Software Mentions: 3
Published: about 3 years ago
10.1371/journal.pone.0218592
Utility of a ready-to-use PCR system for neuroendocrine tumor diagnosis
Cited by: 16
Author(s): Mark Kidd, Ignat Drozdov, Somer Matar, Nicole Gurunlian, Nicholas J. Ferranti, Anna Malczewska, Philip C. Bennett, Lisa Bodei, Irvin M. Modlin
Software Mentions: 3
Published: over 5 years ago
10.3390/e23010007
Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks
Cited by: 14
Author(s): Stanisław Kozdrowski, Paweł Cichosz, Piotr Paziewski, S. Sujecki
Software Mentions: 3
Published: almost 4 years ago
10.1371/journal.pone.0250923
Clinical factors associated with rapid treatment of sepsis
Cited by: 1
Author(s): Xing Song, Mei Liu, Lemuel R. Waitman, Anurag Patel, Steven Q. Simpson
Software Mentions: 3
Published: over 3 years ago
10.1371/journal.pone.0213829
Machine learning performance in a microbial molecular autopsy context: A cross-sectional postmortem human population study
Cited by: 26
Author(s): Yu Zhang, Jennifer L. Pechal, Carl J. Schmidt, Heather R. Jordan, Wesley Wei Wang, M. Eric Benbow, Sing‐Hoi Sze, Aaron M. Tarone
Software Mentions: 3
Published: over 5 years ago
10.1186/s12859-019-2664-1
Predicting clinically promising therapeutic hypotheses using tensor factorization
Cited by: 5
Author(s): Jin Yao, Mark R. Hurle, Matthew R. Nelson, Pankaj Agarwal
Software Mentions: 3
Published: almost 6 years ago
10.3389/fgene.2021.627964
Identification of Clinically Relevant Subgroups of Chronic Lymphocytic Leukemia Through Discovery of Abnormal Molecular Pathways
Cited by: 2
Author(s): Petr Tauš, Šárka Pospı́šilová, Karla Plevová
Software Mentions: 3
Published: over 3 years ago
10.1371/journal.pone.0180735
Churn prediction of mobile and online casual games using play log data
Cited by: 34
Author(s): Seungwook Kim, Daeyoung Choi, Eunjung Lee, Wonjong Rhee
Software Mentions: 3
Published: over 7 years ago
10.3389/fmicb.2020.616692
Tracking Major Sources of Water Contamination Using Machine Learning
Cited by: 7
Author(s): Jianyong Wu, Conghe Song, Eric A. Dubinsky, J R Stewart
Software Mentions: 3
Published: almost 4 years ago
10.3389/fonc.2021.661244
DeepCUBIT: Predicting Lymphovascular Invasion or Pathological Lymph Node Involvement of Clinical T1 Stage Non-Small Cell Lung Cancer on Chest CT Scan Using Deep Cubical Nodule Transfer Learning Algorithm
Cited by: 5
Author(s): Kyongmin Sarah Beck, Bomi Gil, Sae Jung Na, Ji Hyung Hong, Sang Hoon Chun, Ho Jung An, Jae Jun Kim, Soon Auck Hong, Bora Lee, Won Sang Shim, Sung Soo Park, Yoon Ho Ko
Software Mentions: 3
Published: over 3 years ago
10.1371/journal.pmed.1002703
Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
Cited by: 81
Author(s): Chenxi Huang, Karthik Murugiah, Shiwani Mahajan, Shuxia Li, Sanket S. Dhruva, Julian Haimovich, Yongfei Wang, Wade L. Schulz, Jeffrey M. Testani, F. Perry Wilson, Carlos Mena, Frederick A. Masoudi, John S. Rumsfeld, John A. Spertus, Bobak J. Mortazavi, Harlan M. Krumholz
Software Mentions: 3
Published: almost 6 years ago
10.1001/jamanetworkopen.2019.6835
Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention
Cited by: 52
Author(s): Bobak J. Mortazavi, Emily M. Bucholz, Nihar R. Desai, Chenxi Huang, Jeptha P. Curtis, Frederick A. Masoudi, Richard E. Shaw, Sahand Negahban, Harlan M. Krumholz
Software Mentions: 3
Published: over 5 years ago
10.3390/jpm11020131
Common Treatment, Common Variant: Evolutionary Prediction of Functional Pharmacogenomic Variants
Cited by: 6
Author(s): Laura B. Scheinfeldt, Andrew Brangan, Dara Kusic, Sudhir Kumar, Neda Gharani
Software Mentions: 3
Published: almost 4 years ago
10.7150/jca.52183
Machine learning classifiers for predicting 3-year progression-free survival and overall survival in patients with gliomas after surgery
Cited by: 1
Author(s): Bin Zhang, Jing Yan, Weiqi Chen, Yang Dong, Lu Zhang, Xiaokai Mo, Justin Chen, Jingliang Cheng, Xianzhi Liu, Weiwei Wang, Zhenyu Zhang, Shuixing Zhang
Software Mentions: 3
Published: almost 4 years ago
10.1186/s13321-017-0209-z
SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines
Cited by: 195
Author(s): Tong He, Marten Heidemeyer, Fuqiang Ban, Artem Cherkasov, Martin Ester
Software Mentions: 3
Published: over 7 years ago
10.7717/peerj.5814
Using accelerometers to develop time-energy budgets of wild fur seals from captive surrogates
Cited by: 16
Author(s): Monique Ladds, Marcus Salton, David P. Hocking, Rebecca R. McIntosh, Adam P. Thompson, David J. Slip, Robert Harcourt
Software Mentions: 3
Published: about 6 years ago
10.1016/j.omtn.2019.08.011
SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome
Cited by: 126
Author(s): Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee
Software Mentions: 3
Published: almost 5 years ago
10.3390/molecules23102535
Machine Learning Approaches for Protein–Protein Interaction Hot Spot Prediction: Progress and Comparative Assessment
Cited by: 61
Author(s): Siyu Liu, Chuyao Liu, Lei Deng
Software Mentions: 3
Published: about 6 years ago
10.1038/s41598-017-14017-4
Machine learning model for sequence-driven DNA G-quadruplex formation
Cited by: 97
Author(s): Aleksandr B. Sahakyan, Vicki S. Chambers, Giovanni Marsico, Tobias Santner, Marco Di Antonio, Shankar Balasubramanian
Software Mentions: 3
Published: about 7 years ago
10.3390/biology9080222
Artificial Neural Networks Model for Predicting Type 2 Diabetes Mellitus Based on VDR Gene FokI Polymorphism, Lipid Profile and Demographic Data
Cited by: 8
Author(s): Ma’mon M. Hatmal, Salim M. Abderrahman, Wajeha Nimer, Zaynab Al-Eisawi, Hamzeh J. Al‐Ameer, Mohammad A. I. Al-Hatamleh, Rohimah Mohamud, Walhan Alshaer
Software Mentions: 3
Published: over 4 years ago
10.1038/s41598-020-67024-3
Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
Cited by: 124
Author(s): Yingchang Li, Mingyang Li, Chao Li, Zhenzhen Liu
Software Mentions: 3
Published: over 4 years ago
10.1186/s12859-019-2999-7
IRESpy: an XGBoost model for prediction of internal ribosome entry sites
Cited by: 40
Author(s): Junhui Wang, Michael Gribskov
Software Mentions: 3
Published: over 5 years ago
10.1093/bioinformatics/btx028
HIPred: an integrative approach to predicting haploinsufficient genes
Cited by: 30
Author(s): Hashem A. Shihab, Mark F. Rogers, Colin Campbell, Tom R. Gaunt
Software Mentions: 3
Published: almost 8 years ago
10.1186/s12888-020-02503-5
Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia
Cited by: 6
Author(s): Sameer Sardaar, Bill Qi, Alexandre Dionne‐Laporte, Guy A. Rouleau, Reihaneh Rabbany, Yannis Trakadis
Software Mentions: 3
Published: over 4 years ago
10.1186/s12911-021-01486-x
Learning from imbalanced fetal outcomes of systemic lupus erythematosus in artificial neural networks
Cited by: 4
Author(s): Jinghang Ma, Zhen Feng, Jiayue Wu, Yu Zhang, Wen Di
Software Mentions: 3
Published: over 3 years ago
10.1186/s12879-021-06503-y
Time series analysis of hemorrhagic fever with renal syndrome in mainland China by using an XGBoost forecasting model
Cited by: 14
Author(s): Cai-Xia Lv, Shi An, Baojun Qiao, Wei Wu
Software Mentions: 3
Published: over 3 years ago
10.1186/s12864-020-07033-8
Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features
Cited by: 18
Author(s): Zhixun Zhao, Xiaocai Zhang, Fang Chen, Liang Fang, Jinyan Li
Software Mentions: 3
Published: about 4 years ago
10.1038/s41598-021-98387-w
Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare data
Cited by: 14
Author(s): Yingqi Gu, Akshay Zalkikar, Mingming Liu, Lara Kelly, Amy R. Hall, Kieran Daly, Tomás E. Ward
Software Mentions: 3
Published: about 3 years ago
10.3390/s21051639
An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting
Cited by: 40
Author(s): Seungmin Jung, Jihoon Moon, Sungwoo Park, Eenjun Hwang
Software Mentions: 3
Published: over 3 years ago
10.1128/mSystems.00150-20
Multiple-Disease Detection and Classification across Cohorts via Microbiome Search
Cited by: 17
Author(s): Xiaoquan Su, Gongchao Jing, Zheng Sun, Lu Liu, Zhenjiang Xu, Daniel McDonald, Zengbin Wang, Honglei Wang, Antonio G. González, Yufeng Zhang, Shi Huang, Gavin A. Huttley, Rob Knight, Jian Xu
Software Mentions: 3
Published: over 4 years ago
10.2196/30115
Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach
Cited by: 1
Author(s): Wenxiu Xie, Meng Ji, Yanmeng Liu, Tianyong Hao, Chee W. Chow
Software Mentions: 3
Published: over 3 years ago
10.1186/s12859-018-2448-z
Learning protein binding affinity using privileged information
Cited by: 28
Author(s): Wajid Arshad Abbasi, Amina Asif, Asa Ben-Hur, Fayyaz Minhas
Software Mentions: 3
Published: about 6 years ago
10.1186/s12859-021-04077-9
Eye-color and Type-2 diabetes phenotype prediction from genotype data using deep learning methods
Cited by: 8
Author(s): Muhammad Muneeb, Andreas Henschel
Software Mentions: 3
Published: over 3 years ago
10.2196/27060
Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation
Cited by: 25
Author(s): Ho Young Chung, Hoon Ko, Wu Seong Kang, Kyung Won Kim, Hooseok Lee, Chul Park, Hyun-Ok Song, Tae–Young Choi, Jae Ho Seo, Jin-Seok Lee
Software Mentions: 3
Published: over 3 years ago
10.1371/journal.pone.0174698
A general approach for predicting the behavior of the Supreme Court of the United States
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Author(s): Daniel Katz, Michael James Bommarito, Josh Blackman
Software Mentions: 3
Published: over 7 years ago
10.1371/journal.pone.0222380
Cultural differences in the use of acoustic cues for musical emotion experience
Cited by: 7
Author(s): Vishal Midya, Jeffrey M. Valla, Hymavathy Balasubramanian, Avantika Mathur, Nandini Chatterjee Singh
Software Mentions: 3
Published: about 5 years ago
10.1038/s41598-021-85223-4
Predictive model for the 5-year survival status of osteosarcoma patients based on the SEER database and XGBoost algorithm
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Author(s): Jianxia Jiang, Hao Pan, Mobai Li, Bao Qian, Xianfeng Lin, Shunwu Fan
Software Mentions: 2
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10.1038/s41598-020-74479-x
Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status
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Author(s): Chong Hyun Suh, Kyung Hwa Lee, Young Jun Choi, Sae Rom Chung, Jung Hwan Baek, Jeong Hyun Lee, Jihye Yun, Sungwon Ham, Namkug Kim
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-018-30874-z
Modelling of psychosocial and lifestyle predictors of peripartum depressive symptoms associated with distinct risk trajectories: a prospective cohort study
Cited by: 25
Author(s): Sarah English, Amber D. Steele, A.Alun Williams, Jayne Blacklay, Olanrewaju Sorinola, Lorenz Wernisch, Dimitris K. Grammatopoulos
Software Mentions: 2
Published: about 6 years ago
10.1002/prp2.396
Machine learning of big data in gaining insight into successful treatment of hypertension
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Author(s): Gideon Koren, Galia Nordon, Kira Radinsky, Varda Shalev
Software Mentions: 2
Published: over 6 years ago
10.1186/s13195-021-00879-4
Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning
Cited by: 15
Author(s): Louise Bloch, Christoph M. Friedrich
Software Mentions: 2
Published: about 3 years ago
10.1186/s13072-020-00330-2
Identification of DNA N6-methyladenine sites by integration of sequence features
Cited by: 13
Author(s): Hao-Tian Wang, Fu-Hui Xiao, Gong‐Hua Li, Qing‐Peng Kong
Software Mentions: 2
Published: over 4 years ago
10.3390/ijerph17134743
Forecasting Weekly Influenza Outpatient Visits Using a Two-Dimensional Hierarchical Decision Tree Scheme
Cited by: 11
Author(s): Tian–Shyug Lee, I-Fei Chen, Ting-Jen Chang, Chi-Jie Lu
Software Mentions: 2
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10.3390/ijerph18189592
Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model
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Author(s): Lanjing Wang, Chunli Zhao, Xiaofei Liu, Xumei Chen, Chaoyang Li, Tao Wang, Jun Wu, Yi Zhang
Software Mentions: 2
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10.3390/cancers12092366
Computer-Aided Diagnosis in Multiparametric MRI of the Prostate: An Open-Access Online Tool for Lesion Classification with High Accuracy
Cited by: 6
Author(s): Stephan Ellmann, Michael J. Schlicht, Matthias Dietzel, Rolf Janka, Matthias Hammon, Marc Saake, Thomas Ganslandt, Arndt Hartmann, Frank Kunath, Bernd Wullich, Michael Uder, Tobias Bäuerle
Software Mentions: 2
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10.3390/diagnostics11030510
Explainable Machine Learning Model for Glaucoma Diagnosis and Its Interpretation
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Author(s): Sejong Oh, Yuli Park, Kyong Jin Cho, Seong Jae Kim
Software Mentions: 2
Published: over 3 years ago
10.1136/heartjnl-2020-318726
Machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chronological data
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Author(s): Takahiro Nakashima, Soshiro Ogata, Teruo Noguchi, Yoshio Terada, Daisuke Onozuka, Satoshi Kato, Yoshiki Yamagata, Sunao Kojima, Taku Iwami, Tetsuya Sakamoto, Ken Nagao, Hiroshi Nonogi, Satoshi Yasuda, Koji Iihara, Robert W. Neumar, Kunihiro Nishimura
Software Mentions: 2
Published: over 3 years ago
10.1371/journal.pcbi.1007329
Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features
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Author(s): David F. Read, Kate B. Cook, Yang Lu, Karine G. Le Roch, William Stafford Noble
Software Mentions: 2
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10.3389/fpls.2021.645977
Spatiotemporal Heterogeneity of Chlorophyll Content and Fluorescence Response Within Rice (Oryza sativa L.) Canopies Under Different Nitrogen Treatments
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Author(s): Jiafei Zhang, Lijuan Wan, C. Igathinathane, Zhao Zhong, Ya Guo, Dawei Sun, Haiyan Cen
Software Mentions: 2
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10.2196/13260
Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine
Cited by: 32
Author(s): Xiaofang Wang, Yan Zhang, Shiying Hao, Le Zheng, Jiayu Liao, Chengyin Ye, Minjie Xia, Oliver Wang, Modi Liu, C. Weng, Son Q. Duong, Bo Jin, Shaun T Alfreds, Frank Stearns, Laura Kanov, Karl G. Sylvester, Eric Widen, Doff B. McElhinney, Xuefeng B. Ling
Software Mentions: 2
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10.1155/2019/3761203
A LightGBM-Based EEG Analysis Method for Driver Mental States Classification
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Author(s): Hong Zeng, Yang Chen, Hua Zhang, Zhenhua Wu, Jiaming Zhang, Guojun Dai, Fabio Babiloni, Wanzeng Kong
Software Mentions: 2
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10.3389/fmed.2021.602691
Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection
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Author(s): Xiao Li, Kaichen Zhou, Jingyu Wang, Jiahe Guo, Yang Cao, Jie Ren, Tao Guan, Wenchao Sheng, Mingyao Zhang, Zhi Yao, Quan Wang
Software Mentions: 2
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10.1371/journal.pone.0255277
Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach
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Author(s): E. Lannon, Francisco Sánchez-Sáez, Brooklynn Bailey, Natalie Hellman, Kerry L. Kinney, A F Williams, Subodh Nag, Matthew Kutcher, Burel R. Goodin, Uma Rao, Matthew C. Morris
Software Mentions: 2
Published: over 3 years ago
10.3390/s19081954
Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals
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Author(s): Takashi Isezaki, Hideki Kadone, Arinobu Niijima, Ryôzô Aoki, Takahiro Watanabe, Tooru Kimura, Kenji Suzuki
Software Mentions: 2
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