Projects: pypi: scikit-learn
https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn
          
            A set of python modules for machine learning and data mining
              
72 versions
              
Latest release: about 2 years ago
              
5,918 dependent packages
              
43,777,417 downloads last month
          
        
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                    stvjc@channing.harvard.edu
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                  scikit-learn (organization)
                    
Repositories related to the scikit-learn Python machine learning library. Academic
                Repositories related to the scikit-learn Python machine learning library. Academic
                  README Analysis:
                
            Science Score: 100/100
                  Starting Score: 100 points
                
                
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                  Very Likely Science (100)
                
              Papers Mentioning scikit-learn 2,431
10.3389/fphar.2018.01036
Identification of Antioxidant Proteins With Deep Learning From Sequence InformationCited by: 12
Author(s): Lifen Shao, Hui Gao, Zhen Liu, Juan Feng, Lixia Tang, Hao Lin
Software Mentions: 1
Published: about 7 years ago
10.1093/bioinformatics/btaa1102
SoluProt: prediction of soluble protein expression in <i>Escherichia coli</i>Cited by: 50
Author(s): Jiří Hon, Martin Marusiak, Tomáš Martínek, Antonín Kunka, Jaroslav Zendulka, David Bednář, Jiřı́ Damborský
Software Mentions: 1
Published: almost 5 years ago
10.3389/fphar.2019.01570
Chinese Herbal Medicine (MaZiRenWan) Improves Bowel Movement in Functional Constipation Through Down-Regulating OleamideCited by: 9
Author(s): Tao Huang, Ling Zhao, Chengyuan Lin, Lin Lü, Ziwan Ning, Dong-Dong Hu, Linda L. D. Zhong, Zhijun Yang, Zhaoxiang Bian
Software Mentions: 1
Published: almost 6 years ago
10.3389/fphar.2020.00069
Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased DatasetsCited by: 71
Author(s): Jincai Yang, Cheng Shen, Niu Huang
Software Mentions: 1
Published: over 5 years ago
10.3389/fphar.2019.00913
Identification of Novel Antibacterials Using Machine Learning TechniquesCited by: 27
Author(s): Yan A. Ivanenkov, Alex Zhavoronkov, R. S. Yamidanov, Ilya А. Osterman, Петр В. Сергиев, Vladimir Aladinskiy, Anastasia V. Aladinskaya, Victor A Terentiev, Mark S. Veselov, Andrey A. Ayginin, В. Г. Карцев, Dmitry A. Skvortsov, А. В. Чемерис, Alexey Kh Baimiev, Alina A. Sofronova, Alexander S. Malyshev, Gleb I. Filkov, Dmitry S. Bezrukov, Bogdan Zagribelnyy, Evgeny Putin, Maria M Puchinina, Olga А. Dontsova
Software Mentions: 1
Published: about 6 years ago
10.3389/fphar.2020.00112
EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality PredictionCited by: 13
Author(s): Fangping Wan, Shuya Li, Tingzhong Tian, Yipin Lei, Dan Zhao, Jianyang Zeng
Software Mentions: 1
Published: over 5 years ago
10.2196/16042
Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine LearningCited by: 6
Author(s): Emily R. Pfaff, Miles Crosskey, Kenneth D. Morton, Ashok Krishnamurthy
Software Mentions: 1
Published: almost 6 years ago
10.2196/23930
Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation StudyCited by: 20
Author(s): Tjardo Maarseveen, Timo Meinderink, Marcel J. T. Reinders, Johannes Knitza, Tom W J Huizinga, Arnd Kleyer, Dávid Simon, Erik B. van den Akker, Rachel Knevel
Software Mentions: 1
Published: almost 5 years ago
10.3389/fphys.2020.572874
In silico Comparison of Left Atrial Ablation Techniques That Target the Anatomical, Structural, and Electrical Substrates of Atrial FibrillationCited by: 34
Author(s): Caroline Roney, Marianne Beach, Arihant Mehta, Iain Sim, Cesare Corrado, Rokas Bendikas, José Alonso Solís-Lemus, Orod Razeghi, John Whitaker, Louisa O’Neill, Gernot Plank, Edward J. Vigmond, Steven E. Williams, Mark O’Neill, Steven Niederer
Software Mentions: 1
Published: about 5 years ago
10.3389/fphys.2021.674106
Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep LearningCited by: 10
Author(s): Marica Muffoletto, Ahmed Qureshi, Aya Mutaz Zeidan, Laila Muizniece, Xiao Fu, Jichao Zhao, Aditi Roy, Paul A. Bates, Oleg Aslanidi
Software Mentions: 1
Published: over 4 years ago
10.3389/fphys.2021.704122
Deep Learning Classification of Unipolar Electrograms in Human Atrial Fibrillation: Application in Focal Source MappingCited by: 7
Author(s): S. Matthew Liao, Don Ragot, Sachin Nayyar, Adrian Suszko, Zhaolei Zhang, Bo Wang, Vijay S. Chauhan
Software Mentions: 1
Published: over 4 years ago
10.3389/fpls.2018.00603
Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence ImagingCited by: 81
Author(s): Jieni Yao, Dawei Sun, Haiyan Cen, Haixia Xu, Haiyong Weng, Fang Yuan, Yong He
Software Mentions: 1
Published: over 7 years ago
10.3389/fpls.2016.01936
A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in ArabidopsisCited by: 38
Author(s): Ying Ni, Delasa Aghamirzaie, Haitham Elmarakeby, Eva Collakova, Li Song, Ruth Grene, Lenwood S. Heath
Software Mentions: 1
Published: almost 9 years ago
10.3389/fpls.2018.01734
A Pipeline for Classifying Deleterious Coding Mutations in Agricultural PlantsCited by: 7
Author(s): Maxim S. Kovalev, Anna A. Igolkina, Maria Samsonova, Sergey V. Nuzhdin
Software Mentions: 1
Published: almost 7 years ago
10.3389/fpls.2020.590529
Machine Learning Techniques for Soybean Charcoal Rot Disease PredictionCited by: 20
Author(s): Elham Khalili, Samaneh Kouchaki, Shahin Ramazi, Faezeh Ghanati
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpls.2016.01451
Better Than Nothing? Limitations of the Prediction Tool SecretomeP in the Search for Leaderless Secretory Proteins (LSPs) in PlantsCited by: 23
Author(s): Andrew Lonsdale, Melissa J. Davis, Monika S. Doblin, Antony Bacic
Software Mentions: 1
Published: about 9 years ago
10.3389/fpls.2019.00227
Leaf-Movement-Based Growth Prediction Model Using Optical Flow Analysis and Machine Learning in Plant FactoryCited by: 25
Author(s): Shogo Nagano, Shogo Moriyuki, Kazumasa Wakamori, Hiroshi Mineno, Hirokazu Fukuda
Software Mentions: 1
Published: over 6 years ago
10.3389/fpls.2019.01281
Mapping Aboveground Biomass of Four Typical Vegetation Types in the Poyang Lake Wetlands Based on Random Forest Modelling and Landsat ImagesCited by: 18
Author(s): Rongrong Wan, Peng Wang, Xiaolong Wang, Xing Yao, Xue Dai
Software Mentions: 1
Published: about 6 years ago
10.3389/fpls.2018.01102
On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine VarietiesCited by: 46
Author(s): Salvador Gutiérrez, Juan Fernández‐Novales, María P. Diago, Javier Tardáguila
Software Mentions: 1
Published: over 7 years ago
10.3389/fpls.2020.575810
Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection MethodCited by: 28
Author(s): Lei Zhou, Chu Zhang, Mohamed Farag Taha, Xinhua Wei, Yong He, Zhengjun Qiu, Yufei Liu
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpls.2019.00155
Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural NetworkCited by: 125
Author(s): Ke Lin, Liang Gong, Yongfeng Huang, Chengliang Liu, Junsong Pan
Software Mentions: 1
Published: over 6 years ago
10.3389/fpsyt.2020.531801
Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease DiagnosisCited by: 3
Author(s): Naoki Furutani, Yuta Nariya, Tetsuya Takahashi, Sarah Noto, Albert C. Yang, Tetsu Hirosawa, Masafumi Kameya, Yoshio Minabe, Mitsuru Kikuchi
Software Mentions: 1
Published: about 5 years ago
10.3389/fpsyt.2021.598518
Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for InterpretabilityCited by: 9
Author(s): Pedro Ballester, Laura Tomaz da Silva, Matheus Marcon, Nathália Bianchini Esper, Benício N. Frey, Augusto Buchweitz, Felipe Meneguzzi
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyt.2021.728278
What Factors Are Most Closely Associated With Mood Disorders in Adolescents During the COVID-19 Pandemic? A Cross-Sectional Study Based on 1,771 Adolescents in Shandong Province, ChinaCited by: 38
Author(s): Ziyuan Ren, Yaodong Xin, Zhong Lin Wang, Dexiang Liu, Roger Ho, Cyrus S.H. Ho
Software Mentions: 1
Published: about 4 years ago
10.3389/fpsyt.2020.00189
Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar DepressionCited by: 9
Author(s): Sarah Kittel‐Schneider, Tim Hahn, F. Haenisch, Rhiannon V. McNeill, Andreas Reif, Sabine Bahn
Software Mentions: 1
Published: over 5 years ago
10.3389/fpsyt.2020.00144
Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of ThreatCited by: 13
Author(s): Mengqi Xing, Jacklynn M. Fitzgerald, Heide Klumpp
Software Mentions: 1
Published: over 5 years ago
10.3389/fpsyt.2020.593336
Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 ChallengeCited by: 18
Author(s): Baptiste Couvy‐Duchesne, Johann Faouzi, Benoît Martin, Elina Thibeau–Sutre, Adam Wild, Manon Ansart, Stanley Durrleman, Didier Dormont, Ninon Burgos, Olivier Colliot
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpsyt.2021.655292
Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals: A Multi-Channel Near Infrared Spectroscopy StudyCited by: 12
Author(s): Po-Han Chou, Yun Han Yao, Rui Zheng, Yi Long Liou, Tsung Te Liu, Hsien Yuan Lane, Albert C. Yang, Shao-Cheng Wang
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyg.2021.647956
Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment StyleCited by: 18
Author(s): Stephanie J. Eder, Andrew A. Nicholson, Michał Stefańczyk, Michał Pieniak, Judit Martínez-Molina, Ondra Pešout, Jakub Binter, Patrick Smela, Frank Scharnowski, David Steyrl
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyg.2021.604522
A Recurrent Neural Network for Attenuating Non-cognitive Components of Pupil DynamicsCited by: 1
Author(s): Sharath Koorathota, Kaveri A. Thakoor, Linbi Hong, Yaoli Mao, Patrick Adelman, Paul Sajda
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpsyg.2020.551548
Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector MachineCited by: 13
Author(s): Johannes Burdack, Fabian Horst, Daniel Aragonés, Alexander Eekhoff, Wolfgang I. Schöllhorn
Software Mentions: 1
Published: about 5 years ago
10.1186/s13040-021-00262-x
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autismCited by: 0
Author(s): Maya Varma, Kelley Paskov, Brianna Chrisman, Min Sun, Jae-Yoon Jung, Nate Stockham, Peter Washington, Dennis P. Wall
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyg.2018.01545
Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income AttainmentCited by: 13
Author(s): William Heyward Hampton, Nima Asadi, Ingrid R. Olson
Software Mentions: 1
Published: about 7 years ago
10.1186/s13040-021-00276-5
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with SepsisCited by: 11
Author(s): Zhixuan Zeng, Shuo Yao, Jianfei Zheng, Xun Gong
Software Mentions: 1
Published: about 4 years ago
10.3389/fpubh.2021.630640
Work Habit-Related Sleep Debt; Insights From Factor Identification Analysis of Actigraphy DataCited by: 7
Author(s): Yuki Goto, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Software Mentions: 1
Published: over 4 years ago
10.3389/frobt.2018.00035
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of CorrespondenceCited by: 35
Author(s): Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, David Dormagen, Fernando Wario, Tim Landgraf
Software Mentions: 1
Published: over 7 years ago
10.3389/frobt.2019.00077
Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate AdjustmentsCited by: 2
Author(s): Kazuhiro Hishinuma, Hideaki Iiduka
Software Mentions: 1
Published: about 6 years ago
10.3389/frobt.2018.00085
Teaching a Robot Bimanual Hand-Clapping Games via Wrist-Worn IMUsCited by: 5
Author(s): Naomi T. Fitter, Katherine J. Kuchenbecker
Software Mentions: 1
Published: over 7 years ago
10.3389/frobt.2021.672315
Optical-Tactile Sensor for Lump Detection Using Pneumatic ControlCited by: 6
Author(s): Jonathan Bewley, George P. Jenkinson, Antonia Tzemanaki
Software Mentions: 1
Published: over 4 years ago
10.3389/frobt.2019.00124
Tactile Signatures and Hand Motion Intent Recognition for Wearable Assistive DevicesCited by: 7
Author(s): Thekla Stefanou, Greg Chance, Tareq Assaf, Sanja Dogramadzi
Software Mentions: 1
Published: almost 6 years ago
10.3389/frobt.2021.729832
Automatic Detection of Gaze and Body Orientation in Elementary School ClassroomsCited by: 3
Author(s): Roberto Araya, Jorge Sossa-Rivera
Software Mentions: 1
Published: about 4 years ago
10.3389/frobt.2021.696587
Aiding Grasp Synthesis for Novel Objects Using Heuristic-Based and Data-Driven Active Vision MethodsCited by: 1
Author(s): Sabhari Natarajan, Galen Brown, Berk Çallı
Software Mentions: 1
Published: over 4 years ago
10.3389/frobt.2020.522141
A Framework for Sensorimotor Cross-Perception and Cross-Behavior Knowledge Transfer for Object CategorizationCited by: 5
Author(s): Gyan Tatiya, Ramtin Hosseini, Michael C. Hughes, Jivko Sinapov
Software Mentions: 1
Published: about 5 years ago
10.3389/frobt.2019.00092
Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric BiasCited by: 3
Author(s): Ryoichi Nakashima, Ryo Ozaki, Tadahiro Taniguchi
Software Mentions: 1
Published: about 6 years ago
10.3389/frobt.2020.00038
A Robust Screen-Free Brain-Computer Interface for Robotic Object SelectionCited by: 0
Author(s): Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Michael Tangermann
Software Mentions: 1
Published: over 5 years ago
10.1186/s12918-018-0546-1
In silico drug combination discovery for personalized cancer therapyCited by: 42
Author(s): Minji Jeon, Sunkyu Kim, Sungjoon Park, Heewon Lee, Jaewoo Kang
Software Mentions: 1
Published: over 7 years ago
10.3389/fvets.2021.639249
Three-Dimensional Live Imaging of Bovine Preimplantation Embryos: A New Method for IVF Embryo EvaluationCited by: 4
Author(s): Yasumitsu Masuda, Ryo Hasebe, Yasushi Kuromi, Masayoshi Kobayashi, Kanako Urataki, Mitsugu Hishinuma, Tetsuya Ohbayashi, Ryo Nishimura
Software Mentions: 1
Published: over 4 years ago
10.2144/fsoa-2019-0131
Integrating computational lead optimization diagnostics with analog design and candidate selectionCited by: 5
Author(s): Dimitar Yonchev, Jürgen Bajorath
Software Mentions: 1
Published: over 5 years ago
10.1534/g3.115.025882
Genome-Wide Analysis of the TORC1 and Osmotic Stress Signaling Network in<i>Saccharomyces cerevisiae</i>Cited by: 9
Author(s): Jeremy Worley, Arron Sullivan, Xiangxia Luo, Matt Kaplan, Andrew P. Capaldi
Software Mentions: 1
Published: almost 10 years ago
10.1186/s13568-016-0260-6
Disruption of Pseudomonas putida by high pressure homogenization: a comparison of the predictive capacity of three process models for the efficient release of arginine deiminaseCited by: 15
Author(s): Mahesh D. Patil, Gopal Patel, Balaji Surywanshi, Naeem Shaikh, Prabha Garg, Yusuf Chisti, Uttam Chand Banerjee
Software Mentions: 1
Published: about 9 years ago
10.1534/g3.120.401122
QTG-Finder2: A Generalized Machine-Learning Algorithm for Prioritizing QTL Causal Genes in PlantsCited by: 6
Author(s): Fan Lin, Elena Lazarus, Seung Y. Rhee
Software Mentions: 1
Published: over 5 years ago
10.2196/15932
Prediction of Cardiac Arrest in the Emergency Department Based on Machine Learning and Sequential Characteristics: Model Development and Retrospective Clinical Validation StudyCited by: 19
Author(s): Sungchul Hong, Sungjoo Lee, Jeong-Hoon Lee, Won Chul, Kyunga Kim
Software Mentions: 1
Published: over 5 years ago
10.2196/mental.4822
Validating Machine Learning Algorithms for Twitter Data Against Established Measures of SuicidalityCited by: 140
Author(s): Scott R. Braithwaite, Christophe Giraud‐Carrier, Josh West, Michael Barnes, Carl L. Hanson
Software Mentions: 1
Published: over 9 years ago
10.2196/19348
Utilizing Machine Learning on Internet Search Activity to Support the Diagnostic Process and Relapse Detection in Young Individuals With Early Psychosis: Feasibility StudyCited by: 9
Author(s): Michael L. Birnbaum, Prathamesh Kulkarni, Anna Van Meter, Victor Chen, Asra Ali, Elizabeth Arenare, Munmun De Choudhury, John M. Kane
Software Mentions: 1
Published: about 5 years ago
10.2196/12371
Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine LearningCited by: 11
Author(s): Samantha Teague, Adrian Shatte
Software Mentions: 1
Published: almost 7 years ago
10.3390/genes10100812
Identification of Key Genes for the Precise Classification between Solenopsis invicta and S. geminata Facilitating the Quarantine ProcessCited by: 2
Author(s): Kil-Hyun Kim, Jisu Kim, Hyun-Ji Cho, Jong-Ho Lee, Tae-Hwan Jun, Yang-Jae Kang
Software Mentions: 1
Published: about 6 years ago
10.3390/genes10110836
Deregulated Adhesion Program in Palatal Keratinocytes of Orofacial Cleft PatientsCited by: 1
Author(s): Aysel Mammadova, Carine Carels, Jie Zhou, Christian Gilissen, Maria P. A. C. Helmich, Zhuan Bian, Huiqing Zhou, Johannes W. Von den Hoff
Software Mentions: 1
Published: about 6 years ago
10.2196/26719
Automated Travel History Extraction From Clinical Notes for Informing the Detection of Emergent Infectious Disease Events: Algorithm Development and ValidationCited by: 2
Author(s): Kelly Peterson, Julia M. Lewis, Olga V. Patterson, A Chapman, Daniel W. Denhalter, Patricia A. Lye, Vanessa Stevens, Shantini D. Gamage, Gary A. Roselle, Katherine Wallace, Makoto Jones
Software Mentions: 1
Published: over 4 years ago
10.3390/genes12040564
OTUs and ASVs Produce Comparable Taxonomic and Diversity from Shrimp Microbiota 16S Profiles Using Tailored Abundance FiltersCited by: 19
Author(s): Rodrigo García-López, Fernanda Cornejo‐Granados, Alonso A. López-Zavala, Andrés Cota-Huízar, Rogerio R. Sotelo‐Mundo, Bruno Gómez‐Gil, Adrián Ochoa-Leyva
Software Mentions: 1
Published: over 4 years ago
10.1186/s12919-018-0140-y
Methods for detecting methylation by SNP interaction in GAW20 simulationCited by: 2
Author(s): E. Warwick Daw, James E. Hicks, Petra Lenzini, Shiow J. Lin, Judy Wang, Christine A. Williams, Ping An, Michael A. Province, Aldi T. Kraja
Software Mentions: 1
Published: about 7 years ago
10.1186/s12883-018-1198-x
The Norwegian Cognitive impairment after stroke study (Nor-COAST): study protocol of a multicentre, prospective cohort studyCited by: 33
Author(s): Pernille Thingstad, Torunn Askim, Mona K. Beyer, Geir Bråthen, Hanne Ellekjær, Hege Ihle‐Hansen, Anne Brita Knapskog, Stian Lydersen, Ragnhild Munthe-Kaas, Halvor Næss, Sarah T. Pendlebury, Yngve Müller Seljeseth, Ingvild Saltvedt
Software Mentions: 1
Published: almost 7 years ago
10.1534/genetics.120.303093
Machine Learning Techniques for Classifying the Mutagenic Origins of Point MutationsCited by: 7
Author(s): Yicheng Zhu, Cheng Soon Ong, Gavin A. Huttley
Software Mentions: 1
Published: over 5 years ago
10.2196/24132
Improving Detection of Disease Re-emergence Using a Web-Based Tool (RED Alert): Design and Case Analysis StudyCited by: 0
Author(s): Nidhi Parikh, Ashlynn R. Daughton, William Rosenberger, Derek Aberle, Maneesha Elizabeth Chitanvis, Forest Michael Altherr, Nileena Velappan, Geoffrey Fairchild, Alina Deshpande
Software Mentions: 1
Published: almost 5 years ago
10.1186/s12882-020-01980-w
Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort studyCited by: 5
Author(s): Lijuan Wu, Yong Hu, Xiangzhou Zhang, Weiqi Chen, Alan Yu, John A. Kellum, Lemuel R. Waitman, Мэй Лю
Software Mentions: 1
Published: over 5 years ago
10.1186/s13059-017-1217-z
Optimizing complex phenotypes through model-guided multiplex genome engineeringCited by: 22
Author(s): Gleb Kuznetsov, Daniel B. Goodman, Gabriel T. Filsinger, Matthieu Landon, Nadin Rohland, John Aach, Marc J. Lajoie, George M. Church
Software Mentions: 1
Published: over 8 years ago
10.1186/s12874-021-01242-9
Waist circumference prediction for epidemiological research using gradient boosted treesCited by: 4
Author(s): Weihong Zhou, Spencer Maxwell Eckler, Andrew Barszczyk, Alex Waese-Perlman, Yingjie Wang, Xiaoping Gu, Feng Zhang, Yongjun Peng, Kang Lee
Software Mentions: 1
Published: over 4 years ago
10.1186/s12911-015-0206-y
Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methodsCited by: 50
Author(s): Alexander Decruyenaere, Philippe Decruyenaere, Patrick Peeters, Frank Vermassen, Tom Dhaene, Ivo Couckuyt
Software Mentions: 1
Published: about 10 years ago
10.3390/ijerph15091881
Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and TurbidityCited by: 50
Author(s): Sina Keller, Philipp Maier, Felix M. Riese, Stefan Norra, Andreas Holbach, Nicolas Börsig, Andre Wilhelms, Christian Moldaenke, André Zaake, Stefan Hinz
Software Mentions: 1
Published: about 7 years ago
10.1186/s13059-019-1784-2
A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell typesCited by: 37
Author(s): Maxwell W. Libbrecht, Oscar L. Rodriguez, Zhiping Weng, Jeffrey A. Bilmes, Michael M. Hoffman, William Stafford Noble
Software Mentions: 1
Published: about 6 years ago
10.1186/s12911-020-01215-w
Identification of risk factors for patients with diabetes: diabetic polyneuropathy case studyCited by: 11
Author(s): Oleg G. Metsker, Kirill Magoev, Alexey N. Yakovlev, S. N. Yanishevskiy, Georgy Kopanitsa, Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya
Software Mentions: 1
Published: about 5 years ago
10.1186/s12911-021-01514-w
Bayesian network models with decision tree analysis for management of childhood malaria in MalawiCited by: 4
Author(s): Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Drużdżel, Shyam Visweswaran
Software Mentions: 1
Published: over 4 years ago
10.1007/s10439-020-02591-0
Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI ExaminationCited by: 2
Author(s): Minna Husso, Isaac O. Afara, Mikko J. Nissi, Antti Kuivanen, Paavo Halonen, Miikka Tarkia, Jarmo Teuho, Virva Saunavaara, Pauli Vainio, Petri Sipola, Hannu Manninen, Seppo Ylä‐Herttuala, Juhani Knuuti, Juha Töyräs
Software Mentions: 1
Published: about 5 years ago
10.1186/s12911-021-01506-w
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validationCited by: 8
Author(s): Behrooz Mamandipoor, Fernando Frutos‐Vivar, Óscar Peñuelas, Richard Rezar, Konstantinos Raymondos, Alfonso Muriel, Bin Du, Arnaud W. Thille, Fernando Ríos, Marco González, Lorenzo del-Sorbo, María del Carmen Marín, Bruno Valle Pinheiro, Marco Antonio Soares, Nicolás Nín, Salvatore Maurizio Maggiore, Andrew D. Bersten, Malte Kelm, Raphael Romano Bruno, Pravin Amin, Nahit Çakar, Gee Young Suh, Fékri Abroug, Manuel Jibaja, Dimitros Matamis, Amine Ali Zeggwagh, Yuda Sutherasan, Antonio Anzueto, Bernhard Wernly, Andrés Esteban, Christian Jung, Venet Osmani
Software Mentions: 1
Published: over 4 years ago
10.1186/s12911-018-0676-9
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical researchCited by: 7
Author(s): Xiangrui Li, Dongxiao Zhu, Phillip D. Levy
Software Mentions: 1
Published: almost 7 years ago
10.1186/s12911-020-01297-6
Combining structured and unstructured data for predictive models: a deep learning approachCited by: 80
Author(s): Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan, Ping Zhang
Software Mentions: 1
Published: about 5 years ago
10.1186/s12911-020-01380-y
Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese womenCited by: 7
Author(s): Kai-Leun Tsai, Che-Chang Chang, Yu‐Sheng Chang, Yiying Lu, I-Jung Tsai, Jinhua Chen, Sheng-Hong Lin, Chih-Chun Tai, Yi-Fang Lin, Hui‐Wen Chang, Chun–Ming Lin, Emily Chia-Yu Su
Software Mentions: 1
Published: over 4 years ago
10.18632/aging.102900
Prediction of chronological and biological age from laboratory dataCited by: 15
Author(s): Luke Sagers, Luke Melas-Kyriazi, Chirag Patel, Arjun K. Manrai
Software Mentions: 1
Published: over 5 years ago
10.1186/s12911-020-01131-z
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networksCited by: 17
Author(s): Laura Kinkead, Ahmed Allam, Michael Krauthammer
Software Mentions: 1
Published: over 5 years ago
10.1186/s12911-021-01562-2
On the predictability of postoperative complications for cancer patients: a Portuguese cohort studyCited by: 3
Author(s): Daniel Gonçalves, Rui Henriques, Lúcio Lara Santos, Rafael S. Costa
Software Mentions: 1
Published: over 4 years ago
10.1186/s12911-019-1008-4
Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networksCited by: 19
Author(s): Sung Mo Ryu, Sung Wook Seo, Sun-Ho Lee
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12911-019-0782-3
Identifying peer experts in online health forumsCited by: 15
Author(s): V. G. Vinod Vydiswaran, Manoj Reddy
Software Mentions: 1
Published: over 6 years ago
10.1186/s12911-021-01489-8
Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methodsCited by: 6
Author(s): Huan Chen, Yingying Ma, Na Hong, Hao Wang, Longxiang Su, Chun Li, Jie He, Huizhen Jiang, Yun Long, Weiguo Zhu
Software Mentions: 1
Published: over 4 years ago
10.1186/s12911-020-01326-4
Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record dataCited by: 9
Author(s): Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo
Software Mentions: 1
Published: almost 5 years ago
10.1186/s12911-019-0781-4
Clinical text classification with rule-based features and knowledge-guided convolutional neural networksCited by: 76
Author(s): Yao Liang, Chengsheng Mao, Yuan Luo
Software Mentions: 1
Published: over 6 years ago
10.1186/s13073-015-0189-4
Inferring pathway dysregulation in cancers from multiple types of omic dataCited by: 13
Author(s): Shelley M. MacNeil, W. Evan Johnson, Dean Y. Li, Stephen R. Piccolo, Andrea Bild
Software Mentions: 1
Published: over 10 years ago
10.1186/s12911-021-01582-y
Privacy-preserving dataset combination and Lasso regression for healthcare predictionsCited by: 12
Author(s): Marie Beth van Egmond, Gabriele Spini, Onno van der Galiën, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L’Isle, Milena Kooij-Janic
Software Mentions: 1
Published: about 4 years ago
10.1186/s13073-018-0571-0
Exploring the OncoGenomic Landscape of cancerCited by: 7
Author(s): Lídia Mateo, Oriol Guitart-Pla, Miquel Duran‐Frigola, Patrick Aloy
Software Mentions: 1
Published: over 7 years ago
10.1186/s13073-020-00775-w
CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variationsCited by: 26
Author(s): Shuang Li, K. Joeri van der Velde, Dick de Ridder, Aalt D. J. van Dijk, Dimitrios Soudis, Leslie R. Zwerwer, Patrick Deelen, Dennis Hendriksen, Bart Charbon, Mariëlle van Gijn, Kristin M. Abbott, Birgit Sikkema‐Raddatz, Cleo C. van Diemen, Wilhelmina S. Kerstjens‐Frederikse, Richard J. Sinke, Morris A. Swertz
Software Mentions: 1
Published: about 5 years ago
10.1186/s12911-021-01591-x
Improvement of APACHE II score system for disease severity based on XGBoost algorithmCited by: 8
Author(s): Yan Luo, Zhiyu Wang, Cong Wang
Software Mentions: 1
Published: about 4 years ago
10.3390/ijerph17072437
Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining RoadsCited by: 7
Author(s): Yuting Qin, Yu-Ren Chen, Kun-Peng Lin
Software Mentions: 1
Published: over 5 years ago
10.5808/GI.2019.17.3.e30
Deep learning for stage prediction in neuroblastoma using gene expression dataCited by: 5
Author(s): Aron Park, Seungyoon Nam
Software Mentions: 1
Published: about 6 years ago
10.3390/ijerph17082788
Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in ChinaCited by: 231
Author(s): Xuehua Han, Juanle Wang, Min Zhang, Xiaojie Wang
Software Mentions: 1
Published: over 5 years ago
10.1093/gigascience/gix115
CNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populationsCited by: 71
Author(s): Xihong Wang, Zhuqing Zheng, Yi Cai, Ting Chen, Chao Li, Weiwei Fu, Yu Jiang
Software Mentions: 1
Published: almost 8 years ago
10.1186/s12880-021-00660-x
Intelligent localization and quantitative evaluation of anterior talofibular ligament injury using magnetic resonance imaging of ankleCited by: 3
Author(s): Wen Yan, Xiangjun Meng, Jinglai Sun, Hui Yu, Zhi Wang
Software Mentions: 1
Published: about 4 years ago
10.1186/s12880-019-0392-7
MRI-based radiomics of rectal cancer: preoperative assessment of the pathological featuresCited by: 58
Author(s): Xiaolu Ma, Shoukuan Fu, Yan Jia, Yuwei Xia, Yongling Li, Jianping Lu
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12880-021-00560-0
Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics modelsCited by: 18
Author(s): Zhihui Li, Xiaolu Ma, Shoukuan Fu, Haidi Lu, Yuwei Xia, Jianping Lu
Software Mentions: 1
Published: over 4 years ago
10.3390/ijerph17145145
Mapping the Potential Distribution of Major Tick Species in ChinaCited by: 9
Author(s): Xin Yang, Gengfeng Zheng, Tiangang Zhou, Jian Zhang, Luqi Wang, Lingjun Xiao, Hongjuan Wu, Sen Li
Software Mentions: 1
Published: over 5 years ago
10.1155/2019/1537568
Tracing Geographical Origins of Teas Based on FT-NIR Spectroscopy: Introduction of Model Updating and Imbalanced Data Handling ApproachesCited by: 16
Author(s): Xiaopeng Hong, Xian-Shu Fu, Zhengliang Wang, Li Zhang, Xiaoping Yu, Zihong Ye
Software Mentions: 1
Published: almost 7 years ago
10.3390/s17071535
An Automatic Car Counting System Using OverFeat FrameworkCited by: 24
Author(s): Debojit Biswas, Hongbo Su, Chengyi Wang, Jason Blankenship, Aleksandar Stevanovic
Software Mentions: 1
Published: over 8 years ago
10.3390/s17091967
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoTCited by: 180
Author(s): Manuel López-Martín, Belén Carro, Antonio Sánchez-Esguevillas, Jaime Lloret
Software Mentions: 1
Published: about 8 years ago