Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: pypi: shap
https://packages.ecosyste.ms/registries/pypi.org/packages/shap
A unified approach to explain the output of any machine learning model.
98 versions
Latest release: about 1 year ago
203 dependent packages
7,339,538 downloads last month
Papers Mentioning shap 13
10.7554/eLife.67490
Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortexCited by: 27
Author(s): Eric Lee, Hymavathy Balasubramanian, Alexandra Tsolias, Stephanie Udochukwu Anakwe, Maria Medalla, Krishna V. Shenoy, Chandramouli Chandrasekaran
Software Mentions: 10
Published: over 3 years ago
10.1007/978-3-030-61527-7_24
Explaining Sentiment Classification with Synthetic Exemplars and Counter-ExemplarsCited by: 11
Author(s): Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
Software Mentions: 9
Published: almost 5 years ago
10.3390/genes10100778
DNA Methylation Markers for Pan-Cancer Prediction by Deep LearningCited by: 48
Author(s): Biao Liu, Yulu Liu, Xingxin Pan, Mengyao Li, Shuang Yang, Shuai Cheng Li
Software Mentions: 7
Published: about 5 years ago
10.1186/s12933-019-0879-0
Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomicsCited by: 45
Author(s): Quincy A. Hathaway, Skyler M. Roth, Mark V. Pinti, Daniel C. Sprando, Amina Kunovac, Andrya J. Durr, Chris C. Cook, Garrett K. Fink, Tristen B. Cheuvront, Jasmine H. Grossman, Ghadah A. Aljahli, Andrew Taylor, Andrew Giromini, Jessica L. Allen, John M. Hollander
Software Mentions: 6
Published: over 5 years ago
10.2196/13822
Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation StudyCited by: 76
Author(s): Qandeel Tariq, Scott L. Fleming, Jessey Schwartz, Kaitlyn Dunlap, Conor K. Corbin, Peter Washington, Haik Kalantarian, Naila Zaman Khan, Gary L. Darmstadt, Dennis P. Wall
Software Mentions: 5
Published: over 5 years ago
10.3389/fonc.2021.604584
Analysis of Gut Microbiome Using Explainable Machine Learning Predicts Risk of Diarrhea Associated With Tyrosine Kinase Inhibitor Neratinib: A Pilot StudyCited by: 13
Author(s): Chi Wah Wong, Susan E. Yost, Jin Sung Lee, John D. Gillece, Megan Folkerts, Lauren Reining, Sarah K. Highlander, Zahra Eftekhari, Joanne Mortimer, Yuan Yuan
Software Mentions: 5
Published: over 3 years ago
10.1002/advs.201903392
Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage DifferentiationCited by: 85
Author(s): Matthew Vassey, Grazziela P. Figueredo, David J. Scurr, Aliaksei Vasilevich, Steven Vermeulen, Aurélie Carlier, Jeni Luckett, Nick R. M. Beijer, Paul Williams, David A. Winkler, Jan de Boer, Amir M. Ghaemmaghami, Morgan R. Alexander
Software Mentions: 5
Published: over 4 years ago
10.2196/19069
Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation StudyCited by: 8
Author(s): Xiaorong Zhong, Ting Luo, Ling Deng, Pei Liu, Kejia Hu, Donghao Lü, Dan Zheng, Chunying Luo, Yuxin Xie, Jiayuan Li, Ping He, Tianjie Pu, Feng Ye, Hong Bu, Bo Fu, Hong Zheng
Software Mentions: 4
Published: about 4 years ago
10.1186/s13321-020-00479-8
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based modelsCited by: 178
Author(s): Dejun Jiang, Zhenxing Wu, Chang‐Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong‐Sheng Cao, Jian Wu, Tingjun Hou
Software Mentions: 3
Published: almost 4 years ago
10.1038/s41598-021-94275-5
Discovery of novel Li SSE and anode coatings using interpretable machine learning and high-throughput multi-property screeningCited by: 13
Author(s): Shreyas Honrao, Xin Yang, Balachandran Radhakrishnan, Shigemasa Kuwata, Hideyuki Komatsu, Atsushi Ohma, Maarten Sierhuis, John W. Lawson
Software Mentions: 2
Published: over 3 years ago
10.1186/s13054-021-03505-9
Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithmCited by: 21
Author(s): Peder Andersson, Jesper Johnsson, Ola Björnsson, Tobias Cronberg, Christian Hassager, Henrik Zetterberg, Pascal Stammet, Johan Undén, Jesper Kjærgaard, Hans Friberg, Kaj Blennow, Gisela Lilja, Matt P. Wise, Josef Dankiewicz, Niklas Nielsen, Attila Frigyesi
Software Mentions: 2
Published: over 3 years ago
10.36834/cmej.69289
Fundamental trends within falling match rates: insights from the past decade of Canadian residency matching dataCited by: 3
Author(s): Andy G.X. Zeng, Connor T. A. Brenna, Silvio Ndoja
Software Mentions: 2
Published: over 4 years ago
10.3390/cancers13010057
Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal CancersCited by: 12
Author(s): P Giraud, P. Giraud, Eliot Nicolas, P. Boisselier, M. Alfonsi, M. Rives, É. Bardet, Valentin Calugaru, Georges Noël, É. Chajon, P. Pommier, Magali Morelle, Lionel Perrier, X. Liem, Anita Burgun, Jean‐Emmanuel Bibault
Software Mentions: 1
Published: almost 4 years ago