pypi: scikit-learn | Projects | Ecosyste.ms: Papers

10.1186/s12859-017-1528-9

SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequence
Cited by: 30
Author(s): Γεώργιος Δάλκας, Marianne Rooman
Software Mentions: 1
Published: almost 8 years ago

10.1038/s41598-020-59821-7

Optimal Multi-Stage Arrhythmia Classification Approach
Cited by: 40
Author(s): Jianmin Zheng, Huimin Chu, Daniele C. Struppa, Jianming Zhang, Sir Magdi Yacoub, Hesham El-Askary, Anthony Chang, Louis Ehwerhemuepha, Islam Abudayyeh, Alexander Barrett, Guohua Fu, Hai Yao, Dongbo Li, Hangyuan Guo, Cyril Rakovski
Software Mentions: 1
Published: almost 5 years ago

10.3390/molecules24152716

Applicability Domain of Active Learning in Chemical Probe Identification: Convergence in Learning from Non-Specific Compounds and Decision Rule Clarification
Cited by: 5
Author(s): Ahsan Habib Polash, Takashi Nakano, Satoru Takeda, J. Brown
Software Mentions: 1
Published: over 5 years ago

10.1038/s41598-020-60898-3

Data-Driven Audiogram Classification for Mobile Audiometry
Cited by: 8
Author(s): François Charih, Matthew Bromwich, Amy E. Mark, Renée Lefrançois, James R. Green
Software Mentions: 1
Published: over 4 years ago

10.3390/ijms20081964

mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
Cited by: 126
Author(s): Vinothini Boopathi, Sathiyamoorthy Subramaniyam, Adeel Malik, Gwang Lee, Balachandran Manavalan, Deok‐Chun Yang
Software Mentions: 1
Published: over 5 years ago

10.3390/molecules25204645

Docking and QSAR of Aminothioureas at the SARS-CoV-2 S-Protein–Human ACE2 Receptor Interface
Cited by: 5
Author(s): W Płonka, Agata Paneth, Piotr Paneth
Software Mentions: 1
Published: about 4 years ago

10.1038/s41598-020-60108-0

Author Correction: Small Molecule Accurate Recognition Technology (SMART) to Enhance Natural Products Research
Cited by: 0
Author(s): Chen Zhang, Yerlan Idelbayev, Nicholas Roberts, Yiwen Tao, Yashwanth Nannapaneni, Brendan M. Duggan, Jie Min, Eugene C. Lin, Erik Gerwick, Garrison W. Cottrell, William H. Gerwick
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-61737-1

Congruency and reactivation aid memory integration through reinstatement of prior knowledge
Cited by: 20
Author(s): Marlieke T. R. van Kesteren, Paul Rignanese, Pierre G. Gianferrara, Lydia Krabbendam, Martijn Meeter
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-61899-y

Probing and predicting ganglion cell responses to smooth electrical stimulation in healthy and blind mouse retina
Cited by: 13
Author(s): Larissa Höfling, Jonathan Oesterle, Philipp Berens, Günther Zeck
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-62342-y

Pilot study of eruption forecasting with muography using convolutional neural network
Cited by: 14
Author(s): Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Masaki Murata, Tsuneo Yoshikawa, Yoshitaka Masutani, Eriko Maeda, Osamu Abe, Hiroyuki Tanaka
Software Mentions: 1
Published: over 4 years ago

10.3390/molecules25061317

Prediction Model of Aryl Hydrocarbon Receptor Activation by a Novel QSAR Approach, DeepSnap–Deep Learning
Cited by: 16
Author(s): Yasunari Matsuzaka, Takeshi Hosaka, Anna Ogaito, Kouichi Yoshinari, Yoshihiro Uesawa
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-62729-x

Predictive Analytics for Retention in Care in an Urban HIV Clinic
Cited by: 20
Author(s): Arthi Ramachandran, Avishek Kumar, Hannes Koenig, Adolfo De Unánue, Christina Sung, Joe Walsh, John A. Schneider, Rayid Ghani, Jessica P Ridgway
Software Mentions: 1
Published: over 4 years ago

10.3390/molecules24183268

Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties
Cited by: 66
Author(s): Susu Zhu, Lei Zhou, Pan Gao, Yukun Bao, Yong He, Feng Liu
Software Mentions: 1
Published: about 5 years ago

10.1038/s41598-020-64243-6

Identifying task-relevant spectral signatures of perceptual categorization in the human cortex
Cited by: 2
Author(s): Ilya Kuzovkin, Juan R. Vidal, Marcela Perrone‐Bertolotti, Philippe Kahane, Sylvain Rheims, Jaan Aru, Jean-Philippe Lachaux, Raúl Vicente
Software Mentions: 1
Published: over 4 years ago

10.3390/molecules26123630

Cytotoxicity Induction by the Oxidative Reactivity of Nanoparticles Revealed by a Combinatorial GNP Library with Diverse Redox Properties
Cited by: 3
Author(s): Shenqing Wang, Xiliang Yan, Gaoxing Su, Bing Yan
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-020-64912-6

An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI
Cited by: 5
Author(s): Wilfred Lam, Wendy Oakden, Ezatollah Karami, Margaret M. Koletar, Leedan Murray, Stanley K. Liu, Ali Sadeghi‐Naini, Greg J. Stanisz
Software Mentions: 1
Published: over 4 years ago

10.3390/molecules26175272

Electronic Nose Differentiation between Quercus robur Acorns Infected by Pathogenic Oomycetes Phytophthora plurivora and Pythium intermedium
Cited by: 4
Author(s): Piotr Borowik, Ludwik Adamowicz, Rafał Tarakowski, Przemysław Wacławik, Tomasz Oszako, Sławomir Ślusarski, Miłosz Tkaczyk, Marcin Stocki
Software Mentions: 1
Published: about 3 years ago

10.1038/s41598-020-66333-x

Weakly-supervised learning for lung carcinoma classification using deep learning
Cited by: 111
Author(s): Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki, Michael Rambeau, Yuka Kozuma, Shoji Fukushima, Koji Yamazaki, Sadanori Takeo, Osamu Iizuka, Masayuki Tsuneki
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-66255-8

Prediction of prostate cancer aggressiveness using 18F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI
Cited by: 3
Author(s): Parisa Movahedi, Harri Merisaari, Ileana Montoya Perez, Pekka Taimen, Jukka Kemppainen, Anna Kuisma, Olli Eskola, Jarmo Teuho, Jani Saunavaara, M. Pesola, Esa Kähkönen, Otto Ettala, Timo Liimatainen, Tapio Pahikkala, Peter J. Boström, Hannu J. Aronen, Heikki Minn, Ivan Jambor
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-66424-9

An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries
Cited by: 37
Author(s): Arunava Naha, Sangmin Han, Samarth Agarwal, Arun K. Guha, Ashish Khandelwal, Piyush Tagade, Krishnan S. Hariharan, Subramanya Mayya Kolake, Jongmoon Yoon, Bookeun Oh
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-67178-0

A machine learning-based prognostic predictor for stage III colon cancer
Cited by: 31
Author(s): Dan Jiang, Junhua Liao, Haihan Duan, Qingbin Wu, Gemma Owen, Chang Shu, Liangyin Chen, Yanjun He, Ziqian Wu, Du He, Wenyan Zhang, Ziqiang Wang
Software Mentions: 1
Published: over 4 years ago

10.3390/molecules26185647

Markov State Models and Molecular Dynamics Simulations Provide Understanding of the Nucleotide-Dependent Dimerization-Based Activation of LRRK2 ROC Domain
Cited by: 10
Author(s): Xinyi Li, Zengxin Qi, Duan Ni, Shaoyong Lu, Liang Chen, Xiangyu Chen
Software Mentions: 1
Published: about 3 years ago

10.1038/s41598-020-67878-7

Integrated network modeling approach defines key metabolic responses of soil microbiomes to perturbations
Cited by: 9
Author(s): Ryan McClure, Joon‐Yong Lee, Taniya Roy Chowdhury, Eric Bottos, Richard Allen White, Young-Mo Kim, Carrie Nicora, Thomas O. Metz, Kirsten Hofmockel, Janet K. Jansson, Hyun‐Seob Song
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-67769-x

A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
Cited by: 8
Author(s): Nga T. T. Nguyen, Garrett T. Kenyon, Boram Yoon
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-68156-2

A machine learning workflow for raw food spectroscopic classification in a future industry
Cited by: 40
Author(s): Panagiοtis Tsakanikas, Apostolos Karnavas, Efstathios Ζ. Panagou
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-67546-w

A machine learning framework for computationally expensive transient models
Cited by: 13
Author(s): Prashant Kumar, Kushal Sinha, Nandkishor K. Nere, Yujin Shin, Raimundo Ho, Laurie Mlinar, Ahmad Y. Sheikh
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-68611-0

Deep learning-based classification of the mouse estrous cycle stages
Cited by: 8
Author(s): Kentaro Sano, Shingo Matsuda, Suguru Tohyama, Daisuke Komura, Eiji Shimizu, Chihiro Sutoh
Software Mentions: 1
Published: over 4 years ago

10.3390/ijms20194855

Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library
Cited by: 21
Author(s): Yasunari Matsuzaka, Yoshihiro Uesawa
Software Mentions: 1
Published: about 5 years ago

10.1038/s41598-020-69056-1

Label-free detection of rare circulating tumor cells by image analysis and machine learning
Cited by: 29
Author(s): Wang Shen, Yuyuan Zhou, Xiaochen Qin, Suresh Nair, Xiaolei Huang, Yaling Liu
Software Mentions: 1
Published: over 4 years ago

10.3390/molecules23020482

Antimicrobial and Antibiofilm Activity and Machine Learning Classification Analysis of Essential Oils from Different Mediterranean Plants against Pseudomonas aeruginosa
Cited by: 58
Author(s): Marco Artini, Alexandros Patsilinakos, Rosanna Papa, Mijat Božović, Manuela Sabatino, Stefania Garzoli, Gianluca Vrenna, Marco Tilotta, Federico Pepi, Rino Ragno, Laura Selan
Software Mentions: 1
Published: almost 7 years ago

10.3390/molecules23102487

Efficient Computation of Free Energy Surfaces of Diels–Alder Reactions in Explicit Solvent at Ab Initio QM/MM Level
Cited by: 8
Author(s): Pengfei Li, Fengjiao Liu, Xiangyu Jia, Yihan Shao, Wenjing Hu, Jun Zheng, Mei Ye
Software Mentions: 1
Published: about 6 years ago

10.1186/1471-2105-16-S16-S4

TEES 2.2: Biomedical Event Extraction for Diverse Corpora
Cited by: 29
Author(s): Jari Björne, Tapio Salakoski
Software Mentions: 1
Published: about 9 years ago

10.3390/ijms20246276

A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients
Cited by: 17
Author(s): Minjae Joo, Aron Park, Kyungdoc Kim, Won‐Joon Son, Hyo Sug Lee, Gyutae Lim, Jinhyuk Lee, Dong Hoon Lee, Jungseok An, Jung Ho Kim, Tae-Jin Ahn, Seungyoon Nam
Software Mentions: 1
Published: almost 5 years ago

10.3390/ijms21103455

Iroquois Homeobox Protein 2 Identified as a Potential Biomarker for Parkinson’s Disease
Cited by: 6
Author(s): Hyuna Sim, Jooeun Lee, Hee Min Yoo, Sunwha Cho, Hana Lee, Aruem Baek, Jisun Kim, Hyemyung Seo, Mi‐Na Kweon, Hyung Gun Kim, Young‐Joo Jeon, Mi‐Young Son, Jang Hwan Kim
Software Mentions: 1
Published: over 4 years ago

10.3390/molecules23051137

Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands
Cited by: 18
Author(s): Krzysztof Rataj, Ádám Andor Kelemen, José Brea, Marı́a Isabel Loza, Andrzej J. Bojarski, György M. Keserű
Software Mentions: 1
Published: over 6 years ago

10.3390/molecules26072098

MetaTREE, a Novel Database Focused on Metabolic Trees, Predicts an Important Detoxification Mechanism: The Glutathione Conjugation
Cited by: 2
Author(s): Angelica Mazzolari, Luca Sommaruga, Alessandro Pedretti, Giulio Vistoli
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-020-71613-7

A deep learning approach for facility patient attendance prediction based on medical booking data
Cited by: 9
Author(s): Francesco Piccialli, Salvatore Cuomo, Danilo Crisci, Edoardo Prezioso, Gang Mei
Software Mentions: 1
Published: about 4 years ago

10.1038/s41598-020-71412-0

Maximizing CRISPR/Cas9 phenotype penetrance applying predictive modeling of editing outcomes in Xenopus and zebrafish embryos
Cited by: 26
Author(s): Thomas Naert, Dieter Tulkens, Nicole Edwards, Marjolein Carron, Nikko-Ideen Shaidani, Marcin Wlizla, Annekatrien Boel, Suzan Demuynck, Marko E. Horb, Paul Coucke, Andy Willaert, Aaron M. Zorn, Kris Vleminckx
Software Mentions: 1
Published: about 4 years ago

10.1038/s41598-020-71927-6

Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer
Cited by: 11
Author(s): Bum-Joo Cho, Kyoung Min Kim, Sanchir-Erdene Bilegsaikhan, Yong Joon Suh
Software Mentions: 1
Published: about 4 years ago

10.1038/s41598-020-71693-5

Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning
Cited by: 20
Author(s): Bálint Ármin Pataki, Sébastien Matamoros, Boas C L van der Putten, Daniel Remondini, Enrico Giampieri, Derya Aytan-Aktug, René S. Hendriksen, Ole Lund, István Csabai, Constance Schultsz
Software Mentions: 1
Published: about 4 years ago

10.1038/s41598-020-72455-z

Melt crystallization mechanism analyzed with dimensional reduction of high-dimensional data representing distribution function geometries
Cited by: 2
Author(s): Hiroki Nada
Software Mentions: 1
Published: about 4 years ago

10.3390/molecules26175131

Computational Prediction of Compound–Protein Interactions for Orphan Targets Using CGBVS
Cited by: 1
Author(s): Chisato Kanai, Enzo Kawasaki, Ryuta Murakami, Yusuke Morita, Atsushi Yoshimori
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-020-72317-8

Functional parcellation of the default mode network: a large-scale meta-analysis
Cited by: 27
Author(s): Shaoming Wang, Lindsey Tepfer, Adrienne A. Taren, David V. Smith
Software Mentions: 1
Published: about 4 years ago

10.3390/molecules201119679

Extremely Randomized Machine Learning Methods for Compound Activity Prediction
Cited by: 9
Author(s): Wojciech Marian Czarnecki, Sabina Podlewska, Andrzej J. Bojarski
Software Mentions: 1
Published: about 9 years ago

10.1038/s41598-020-73611-1

Exploration into biomarker potential of region-specific brain gene co-expression networks
Cited by: 3
Author(s): Yuqing Hang, Mohammed Aburidi, Benafsh Husain, Allison R Hickman, William L. Poehlman, F. Alex Feltus
Software Mentions: 1
Published: about 4 years ago

10.1093/molbev/msab111

Predictive Models of Genetic Redundancy in <i>Arabidopsis thaliana</i>
Cited by: 12
Author(s): Siobhan A. Cusack, Peipei Wang, Serena G. Lotreck, Bethany M. Moore, Fanrui Meng, Jeffrey K. Conner, Patrick J. Krysan, Melissa D. Lehti-Shiu, Shin-Han Shiu
Software Mentions: 1
Published: over 3 years ago

10.1186/s13229-021-00456-4

Neurite orientation dispersion and density imaging reveals white matter microstructural alterations in adults with autism
Cited by: 12
Author(s): Christina Andica, Koji Kamagata, Eiji Kirino, Wataru Uchida, Ryusuke Irie, Syo Murata, Shigeki Aoki
Software Mentions: 1
Published: over 3 years ago

10.1186/s13229-017-0180-6

Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism
Cited by: 68
Author(s): S. Lévy, Marlena Duda, Nick Haber, Dennis P. Wall
Software Mentions: 1
Published: almost 7 years ago

10.1038/s41598-020-75715-0

Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosis
Cited by: 16
Author(s): Bo Yuan, Dong Yang, Barry Rothberg, Hao Chang, Tian Xu
Software Mentions: 1
Published: about 4 years ago

10.1038/s41598-020-75446-2

Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition
Cited by: 11
Author(s): Bin Han, Huashuai Chen, Yao Yao, Xiaomin Liu, Chao Nie, Junxia Min, Yi Zeng, Michael W. Lutz
Software Mentions: 1
Published: about 4 years ago

10.3390/ijms21103585

Similarity-Based Methods and Machine Learning Approaches for Target Prediction in Early Drug Discovery: Performance and Scope
Cited by: 24
Author(s): Neann Mathai, Johannes Kirchmair
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-76369-8

Predicting antibody affinity changes upon mutations by combining multiple predictors
Cited by: 9
Author(s): Yoichi Kurumida, Yutaka Saitô, Tomoshi Kameda
Software Mentions: 1
Published: about 4 years ago

10.1186/s13229-020-0312-2

Children with autism spectrum disorder produce more ambiguous and less socially meaningful facial expressions: an experimental study using random forest classifiers
Cited by: 21
Author(s): Charline Grossard, Arnaud Dapogny, David Cohen, Sacha Bernheim, Estelle Juillet, Fanny Hamel, Stéphanie Hun, J. Bourgeois, Hugues Pellerin, Sylvie Serret, Kévin Bailly, Laurence Chaby
Software Mentions: 1
Published: almost 5 years ago

10.3390/microorganisms9010129

Utilizing Amino Acid Composition and Entropy of Potential Open Reading Frames to Identify Protein-Coding Genes
Cited by: 5
Author(s): Katelyn McNair, Carol L. Ecale Zhou, Brian Souza, Stephanie Malfatti, Robert A. Edwards
Software Mentions: 1
Published: almost 4 years ago

10.3390/microorganisms8091445

Development of a High-Resolution Single-Nucleotide Polymorphism Strain-Typing Assay Using Whole Genome-Based Analyses for the Lactobacillus acidophilus Probiotic Strain
Cited by: 3
Author(s): Chien‐Hsun Huang, Chih-Chieh Chen, Shih‐Hau Chiu, Jong‐Shian Liou, Yu‐Chun Lin, Jin‐Seng Lin, Lina Huang, Koichi Watanabe
Software Mentions: 1
Published: about 4 years ago

10.3390/microorganisms9030587

Assessing the Biofilm Formation Capacity of the Wine Spoilage Yeast Brettanomyces bruxellensis through FTIR Spectroscopy
Cited by: 6
Author(s): Maria Dimopoulou, Vasiliki Kefalloniti, Panagiοtis Tsakanikas, Séraphim Papanikolaou
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-020-77648-0

TERT promoter alterations could provide a solution for Peto’s paradox in rodents
Cited by: 5
Author(s): Balázs Vedelek, Asha Kiran Maddali, Nurgul Davenova, Viktor Vedelek, Imre Boros
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-020-77548-3

Using machine learning tools to predict outcomes for emergency department intensive care unit patients
Cited by: 20
Author(s): Qiangrong Zhai, Zi Lin, Hua Ge, Yang Liang, Nan Li, Qingbian Ma, Chuyang Ye
Software Mentions: 1
Published: almost 4 years ago

10.3390/ijms21155542

Comprehensive Analysis of Applicability Domains of QSPR Models for Chemical Reactions
Cited by: 23
Author(s): Assima Rakhimbekova, Timur Madzhidov, Ramil Nugmanov, Timur Gimadiev, Igor I. Baskin, Alexandre Varnek
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-78353-8

Saturation transfer properties of tumour xenografts derived from prostate cancer cell lines 22Rv1 and DU145
Cited by: 1
Author(s): Ziyu Tan, Wilfred Lam, Wendy Oakden, Leedan Murray, Margaret M. Koletar, Stanley K. Liu, Greg J. Stanisz
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-020-76874-w

Feature replacement methods enable reliable home video analysis for machine learning detection of autism
Cited by: 28
Author(s): Émilie Leblanc, Peter Washington, Maya Varma, Kaitlyn Dunlap, Yordan Penev, Aaron Kline, Dennis P. Wall
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-020-77474-4

Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach
Cited by: 51
Author(s): Y. Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Masato Kotsugi, Kanta Ono
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-020-78707-2

Collective dynamics of stock market efficiency
Cited by: 20
Author(s): Luiz G. A. Alves, Higor Y. D. Sigaki, Matjaž Perc, Haroldo V. Ribeiro
Software Mentions: 1
Published: almost 4 years ago

10.3390/ijms21155308

Virtual Screening of C. Sativa Constituents for the Identification of Selective Ligands for Cannabinoid Receptor 2
Cited by: 7
Author(s): Mikołaj Mizera, Dorota Latek, Judyta Cielecka‐Piontek
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-79906-7

Enhancer-derived long non-coding RNAs CCAT1 and CCAT2 at rs6983267 has limited predictability for early stage colorectal carcinoma metastasis
Cited by: 11
Author(s): Lai Fun Thean, Christopher Blöcker, Hui Hua Li, Michelle Lo, Marcus Wong, Choong Leong Tang, Emile Tan, Steven G. Rozen, Peh Yean Cheah
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-020-80758-4

Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor sets
Cited by: 11
Author(s): Ibrahim Abdelbaky, Hilal Tayara, Kil To Chong
Software Mentions: 1
Published: almost 4 years ago

10.3390/mi10050311

Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow
Cited by: 12
Author(s): Iordania Constantinou, Michael Jendrusch, Théo Aspert, Frederik Gőrlitz, André Schulze, Gilles Charvin, Michael Knop
Software Mentions: 1
Published: over 5 years ago

10.1038/s41598-020-80487-8

Dynamic blood flow phantom for in vivo liquid biopsy standardization
Cited by: 3
Author(s): Anastasiia Kozlova, Daniil N. Bratashov, О. В. Гришин, Arkadii Abdurashitov, Ekaterina S. Prikhozhdenko, Roman A. Verkhovskii, Natalia A. Shushunova, E. V. Shashkov, Vladimir P. Zharov, Olga A. Inozemtseva
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-020-80474-z

Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission
Cited by: 6
Author(s): Bong Jin Lee, Kyunghoon Kim, Hye‐Jin Hwang, You Sun Kim, Eun Hee Chung, Jong Seo Yoon, Hwa Jin Cho, June Dong Park
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-020-80751-x

Multi-scale image analysis and prediction of visual field defects after selective amygdalohippocampectomy
Cited by: 2
Author(s): Bastian David, Jasmine Eberle, Daniel Delev, Jennifer Gaubatz, Conrad C. Prillwitz, Jan Wagner, Jan-Christoph Schoene-Bake, Guido Luechters, Alexander Radbruch, Bettina Wabbels, Johannes Schramm, Bernd Weber, Rainer Surges, Christian E. Elger, Theodor Rüber
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-81525-9

Evaluation of transfer learning in deep convolutional neural network models for cardiac short axis slice classification
Cited by: 23
Author(s): Namgyu Ho, Yoon‐Chul Kim
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-81272-x

Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study
Cited by: 11
Author(s): Gabriel Addio Nketiah, Mattijs Elschot, Tom W. J. Scheenen, Marnix C. Maas, Tone Frost Bathen, Kirsten Margrete Selnæs
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-81958-2

Predicting individual emotion from perception-based non-contact sensor big data
Cited by: 11
Author(s): Nobuyoshi Komuro, Tomoki Hashiguchi, Keita Hirai, Makoto Ichikawa
Software Mentions: 1
Published: almost 4 years ago

10.1186/s40168-018-0565-6

Ecologically informed microbial biomarkers and accurate classification of mixed and unmixed samples in an extensive cross-study of human body sites
Cited by: 21
Author(s): Janko Tackmann, Natasha Arora, Thomas Sebastian Benedikt Schmidt, João F. Matias Rodrigues, Christian von Mering
Software Mentions: 1
Published: about 6 years ago

10.1186/s40168-015-0114-5

Phylogenetic approaches to microbial community classification
Cited by: 38
Author(s): Jie Ning, Robert G. Beiko
Software Mentions: 1
Published: about 9 years ago

10.1186/s12859-020-03825-7

Evolution of drug resistance in HIV protease
Cited by: 9
Author(s): Dhara Shah, Christopher B. Freas, Irene T. Weber, Robert W. Harrison
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-82649-8

Targeting barrel field spiny stellate cells using a vesicular monoaminergic transporter 2-Cre mouse line
Cited by: 1
Author(s): Fábio Batista Freitag, Aikeremu Ahemaiti, Hannah M. Weman, Katharina Ambroz, Malin C. Lagerström
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-81844-x

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Cited by: 53
Author(s): Espen Jimenez-Solem, Tonny Studsgaard Petersen, Casper Worm Hansen, Christian Hansen, Christina Lioma, Christian Igel, Wouter Boomsma, Oswin Krause, Stephan Lorenzen, Raghavendra Selvan, Janne Petersen, Martin Erik Nyeland, Mikkel Zöllner Ankarfeldt, Gert Mehl Virenfeldt, Matilde Winther‐Jensen, Allan Linneberg, Mostafa Mehdipour Ghazi, Nicki Skafte Detlefsen, Andreas David Lauritzen, Abraham George Smith, Marleen de Bruijne, Bulat Ibragimov, Jens Petersen, Martin Lillholm, Jon Middleton, Signe Sloth Mogensen, Hans-Christian Thorsen-Meyer, Anders Perner, Marie Helleberg, Benjamin Skov Kaas‐Hansen, Mikkel Bonde, Alexander Bonde, Akshay Pai, Mads Nielsen, Martin Sillesen
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-82885-y

A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
Cited by: 55
Author(s): Fernando Fernandes, Tiago Almeida de Oliveira, Cristiane Esteves Teixeira, André Filipe de Moraes Batista, Gabriel Dalla Costa, Alexandre Dias Porto Chiavegatto Filho
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-83315-9

Optimizing machine learning models for granular NdFeB magnets by very fast simulated annealing
Cited by: 10
Author(s): Hyeon-Kyu Park, Jae‐Hyeok Lee, Je-Hyun Lee, Sang‐Koog Kim
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-83237-6

A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography
Cited by: 23
Author(s): Xiaoguo Zhang, Dawei Wang, Jiang Shao, Tian Song, Wenming Tan, Yan Ma, Qing-nan Xu, Xiaoman Ma, Dasheng Li, Jun Chai, Dingjun Wang, Wenwen Liu, Lingbo Lin, Jiangfen Wu, Xia Chen, Zhongfa Zhang
Software Mentions: 1
Published: almost 4 years ago

10.1099/mgen.0.000483

NonClasGP-Pred: robust and efficient prediction of non-classically secreted proteins by integrating subset-specific optimal models of imbalanced data
Cited by: 3
Author(s): Chao Wang, Jin Wu, Lei Xu, Quan Zou
Software Mentions: 1
Published: almost 4 years ago

10.3390/metabo9110270

Metabolomics Test Materials for Quality Control: A Study of a Urine Materials Suite
Cited by: 12
Author(s): Daniel W. Bearden, David A. Sheen, Yamil Simón‐Manso, Bruce A. Benner, Wérickson Fortunato de Carvalho Rocha, Nikša Blonder, Katrice A. Lippa, Richard D. Beger, Laura K. Schnackenberg, Jinchun Sun, Khyati Y. Mehta, Amrita K. Cheema, Haiwei Gu, Ramesh Marupaka, G. A. Nagana Gowda, Daniel Raftery
Software Mentions: 1
Published: about 5 years ago

10.1007/s12650-017-0451-5

Visualization of JOV abstracts
Cited by: 2
Author(s): Koji Koyamada, Yosuke Onoue, Miki Kioka, Tomoya Uetsuji, Kazutaka Baba
Software Mentions: 1
Published: about 7 years ago

10.3390/metabo10060261

The Biochemical Profile of Post-Mortem Brain from People Who Suffered from Epilepsy Reveals Novel Insights into the Etiopathogenesis of the Disease
Cited by: 6
Author(s): Ashna Lalwani, Ali Yılmaz, Halil Bişğin, Zafer Ugur, Sümeyya Akyol, Stewart F. Graham
Software Mentions: 1
Published: over 4 years ago

10.1097/MD.0000000000019428

Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer
Cited by: 12
Author(s): Zixing Huang, Wei Zhang, Du He, Xing Chen, Tian Song, Hongkun Yin, Bin Song
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-021-82850-9

Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19
Cited by: 49
Author(s): Kenji Nakamichi, Jolie Shen, Cecilia S. Lee, Aaron Lee, Emma A. Roberts, Paul D. Simonson, Pavitra Roychoudhury, Jessica Andriesen, April Randhawa, Patrick C. Mathias, Alexander L. Greninger, Keith R. Jerome, Russell N. Van Gelder
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-83641-y

Exploratory analysis of immunization records highlights decreased SARS-CoV-2 rates in individuals with recent non-COVID-19 vaccinations
Cited by: 78
Author(s): Colin Pawlowski, Arjun Puranik, Hari Bandi, AJ Venkatakrishnan, Vineet Agarwal, Richard B. Kennedy, John C. O’Horo, Gregory J. Gores, Amy W. Williams, John Halamka, Andrew D. Badley, Venky Soundararajan
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12859-019-3281-8

Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposures
Cited by: 6
Author(s): Alexander M. Sevy, Cinque Soto, Robin Bombardi, Jens Meiler, James E. Crowe
Software Mentions: 1
Published: almost 5 years ago

10.1038/s41598-021-85514-w

A national survey assessing public readiness for digital health strategies against COVID-19 within the United Kingdom
Cited by: 15
Author(s): Viknesh Sounderajah, Jonathan Clarke, Seema Yalamanchili, Amish Acharya, Sheraz R. Markar, Hutan Ashrafian, Ara Darzi
Software Mentions: 1
Published: over 3 years ago

10.1097/MD.0000000000017392

Predicting weaning difficulty for planned extubation patients with an artificial neural network
Cited by: 11
Author(s): Meng Hsuen Hsieh, Meng Ju Hsieh, Ai‐Chin Cheng, Chin‐Ming Chen, Chih-Chang Hsieh, Chien‐Ming Chao, Chih‐Cheng Lai, Kuo-Chen Cheng, Willy Chou
Software Mentions: 1
Published: about 5 years ago

10.1038/s41598-021-86320-0

Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD
Cited by: 23
Author(s): H. Caly, Hamed Rabiei, Perrine Coste-Mazeau, Sebastien Hantz, Sophie Alain, J.-P. Eyraud, Thierry Chianéa, Catherine Caly, David Makowski, Nouchine Hadjikhani, Éric Lemonnier, Yehezkel Ben‐Ari
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-021-87171-5

Development of machine learning model for diagnostic disease prediction based on laboratory tests
Cited by: 35
Author(s): Dong Jin Park, Min Woo Park, Homin Lee, Young‐Jin Kim, Yeongsic Kim, Young Hoon Park
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-021-87226-7

Efficient collection of a large number of mutations by mutagenesis of DNA damage response defective animals
Cited by: 3
Author(s): Yutaka Suehiro, Sawako Yoshina, Tomoko Motohashi, Satoru Iwata, Katsufumi Dejima, Shohei Mitani
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-021-87300-0

Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning
Cited by: 3
Author(s): Alexandre Maciel-Guerra, Necati Esener, Katharina Giebel, Daniel Lea, Martin J. Green, Andrew J. Bradley, Tania Dottorini
Software Mentions: 1
Published: over 3 years ago

10.3390/medicina57020099

A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers
Cited by: 9
Author(s): Yueying Wang, Shuai Liu, Zhao Wang, Yongchang Fan, Jingxuan Huang, Lan Huang, Zhijun Li, Xinwei Li, Mengdi Jin, Qiong Yu, Fengfeng Zhou
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12859-018-2340-x

Machine Learning for detection of viral sequences in human metagenomic datasets
Cited by: 34
Author(s): Zurab Bzhalava, Ardii Tampuu, Piotr Bała, Raúl Vicente, Joakim Dillner
Software Mentions: 1
Published: about 6 years ago

10.1038/s41598-021-87176-0

Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning
Cited by: 11
Author(s): Jeoung Kun Kim, Yoo Jin Choo, Hyunkwang Shin, Gyu Sang Choi, Hee Jin Lee
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-021-87035-y

Quantitative structure–activity relationship models for genotoxicity prediction based on combination evaluation strategies for toxicological alternative experiments
Cited by: 2
Author(s): Xiaotong Yang, Zhengbao Zhang, Qing Li, Yongming Cai
Software Mentions: 1
Published: over 3 years ago

10.3390/ma14081822

A Strategy for Dimensionality Reduction and Data Analysis Applied to Microstructure–Property Relationships of Nanoporous Metals
Cited by: 9
Author(s): N. Huber
Software Mentions: 1
Published: over 3 years ago

Projects: pypi: scikit-learn

Papers Mentioning scikit-learn 2,431