Search Results - (( (stateed OR stat) python code analysis ) OR ( (skratene OR stavebnit) python code analysis ))*

GE-IA-NAM: gene-environment interaction analysis via imaging-assisted neural additive model.

Authors: Li J Xu Y Ma S et al.

Source: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Sep 01; Vol. 41 (9).

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

MeSH Terms: Lung Neoplasms*/genetics , Skin Neoplasms*/genetics , Melanoma*/genetics , Gene-Environment Interaction* , Deep Learning*, Datasets as Topic ; Humans ; Age Factors ; Sex Factors ; Smoking

Text Analysis with Python: A Research Oriented Guide

Authors: Mamta, Mittal Gopi, Battineni Bhimavarapu, Usharani et al.

Resource Type: eBook.

Subjects: Programming languages (Electronic computers), Python (Computer program language), Text processing (Computer science)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General

Linear Regression With Python : A Tutorial Introduction to the Mathematics of Regression Analysis

Authors: James V Stone

Resource Type: eBook.

Categories: MATHEMATICS / Probability & Statistics / Regression Analysis, COMPUTERS / Languages / Python, MATHEMATICS / Probability & Statistics / General

Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package

Authors: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. et al.

Contributors: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. et al.

Source: ISSN: 0306-4549 ; Annals of Nuclear Energy ; https://hal.science/hal-04777159 ; Annals of Nuclear Energy, 2025, 211, pp.110962. ⟨10.1016/j.anucene.2024.110962⟩.

Subject Terms: Nuclear reactor, Severe accident, Modelling, Uncertainty quantification, MUSA, Source Term, [PHYS]Physics [physics], [SPI]Engineering Sciences [physics], [STAT]Statistics [stat]

Relation: info:eu-repo/grantAgreement//847441/EU/Euratom research and training programme 2014 – 2018/Euratom

Availability: https://hal.science/hal-04777159
https://hal.science/hal-04777159v1/document
https://hal.science/hal-04777159v1/file/Final_version_ANE20225.pdf
https://doi.org/10.1016/j.anucene.2024.110962

Applied Time Series Analysis and Forecasting with Python

Authors: Changquan Huang Alla Petukhina

Resource Type: eBook.

Subjects: Python (Computer program language), Time-series analysis, Time-series analysis--Forecasting, Time-series analysis--Computer programs

Categories: MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software

Time Series Analysis with Python Cookbook : Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation

Authors: Tarek A. Atwan

Resource Type: eBook.

Subjects: Machine learning, Python (Computer program language)

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Languages / Python

Python How-To : 63 Techniques to Improve Your Python Code

Authors: Yong Cui

Resource Type: eBook.

Subjects: Python (Computer program language), Computer programming, Video games--Programming

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Programming

A comparison of machine learning algorithms for survival with missing data ; Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes

Authors: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Contributors: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Source: 54es Journées de Statistique de la SFdS
JDS 2023 - 54e Journées de Statistique de la SFds
https://hal.science/hal-04384220
JDS 2023 - 54e Journées de Statistique de la SFds, SFdS, Jul 2023, Bruxelles (BEL), Belgique. ⟨10.48550/arXiv.2303.13590⟩

Subject Terms: Machine Learning (stat.ML), Machine Learning (cs.LG), Machine learning, neural networks, survival data, simulated data, missing data, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Subject Geographic: Bruxelles (BEL), Belgium

Availability: https://hal.science/hal-04384220
https://hal.science/hal-04384220v1/document
https://hal.science/hal-04384220v1/file/preprint_arxiv.pdf
https://doi.org/10.48550/arXiv.2303.13590

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Authors: Tarek A. Atwan

Resource Type: eBook.

Subjects: Python (Computer program language), Machine learning

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.

Authors: Duarte, Martha Salamanca, Mayra Gonzalez, Juan M. et al.

Source: Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.

Subject Terms: *MENTAL depression risk factors, *RISK assessment, *PREDICTION models, *SOCIAL determinants of health, *RECEIVER operating characteristic curves, *QUESTIONNAIRES, *PRIMARY health care, *RETROSPECTIVE studies, *QUANTITATIVE research, *DESCRIPTIVE statistics, *NURSING interventions, *SURVEYS, *HEALTH behavior, *MEDICAL records, *ACQUISITION of data, *SOCIODEMOGRAPHIC factors, *MACHINE learning, *DATA analysis software, *ACCURACY, *COMPARATIVE studies, *SOCIAL classes, *SENSITIVITY & specificity (Statistics), *SOCIAL isolation, *ALGORITHMS, *REGRESSION analysis, *MENTAL depression, *EVALUATION

Geographic Terms: FLORIDA

Extended sample size calculations for evaluation of prediction models using a threshold for classification.

Authors: Whittle R Ensor J Archer L et al.

Source: BMC medical research methodology [BMC Med Res Methodol] 2025 Jul 01; Vol. 25 (1), pp. 170. Date of Electronic Publication: 2025 Jul 01.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

MeSH Terms: Models, Statistical*, Risk Assessment/methods ; Sample Size ; Humans ; Predictive Value of Tests ; Sensitivity and Specificity ; Algorithms

Software Design for Python Programmers : Principles and Patterns

Authors: Ronald Mak

Resource Type: eBook.

Categories: COMPUTERS / Languages / Python, COMPUTERS / Programming / Object Oriented, COMPUTERS / Software Development & Engineering / Systems Analysis & Design

Statistics Every Programmer Needs

Authors: Gary Sutton

Resource Type: eBook.

Categories: COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Languages / Python

Prediction of Chemically Modified Antimicrobial Peptides and Their Sub-functional Activities Using Hybrid Features.

Authors: Yao Y Zhang D Fan H et al.

Source: Probiotics and antimicrobial proteins [Probiotics Antimicrob Proteins] 2025 May 21. Date of Electronic Publication: 2025 May 21.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101484100 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1314 (Electronic) Linking ISSN: 18671306 NLM ISO Abbreviation: Probiotics Antimicrob Proteins Subsets: MEDLINE

Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7

Authors: Michał Jaworski Tarek Ziadé

Resource Type: eBook.

Subjects: Python (Computer program language), Application software--Development

Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Internet / Application Development

Expert Python Programming – Fourth Edition : Master Python by Learning the Best Coding Practices and Advanced Programming Concepts

Authors: Michał Jaworski Tarek Ziade Tarek Ziadé

Resource Type: eBook.

Subjects: Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Internet / Application Development

A practical guide to estimating treatment effects in patients with rheumatic diseases using real-world data.

Authors: Pripp AH Łosińska K Korkosz M et al.

Source: Rheumatology international [Rheumatol Int] 2024 Jul; Vol. 44 (7), pp. 1265-1274. Date of Electronic Publication: 2024 Apr 24.

Publication Type: Journal Article

Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 8206885 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1437-160X (Electronic) Linking ISSN: 01728172 NLM ISO Abbreviation: Rheumatol Int Subsets: MEDLINE

MeSH Terms: Rheumatic Diseases*/therapy, Observational Studies as Topic/methods ; Humans ; Treatment Outcome ; Propensity Score ; Regression Analysis ; Data Interpretation, Statistical

Advanced Forecasting with Python

Authors: Joos Korstanje

Resource Type: eBook.

Subjects: Python (Computer program language), Machine learning, Time-series analysis--Data processing

Categories: MATHEMATICS / Probability & Statistics / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python

Phenotype structuring in collective cell migration: a tutorial of mathematical models and methods.

Authors: Lorenzi T Painter KJ Villa C

Source: Journal of mathematical biology [J Math Biol] 2025 May 16; Vol. 90 (6), pp. 61. Date of Electronic Publication: 2025 May 16.

Publication Type: Journal Article; Review

Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7502105 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1416 (Electronic) Linking ISSN: 03036812 NLM ISO Abbreviation: J Math Biol Subsets: MEDLINE

MeSH Terms: Cell Movement*/physiology , Models, Biological*, Neoplasms/pathology ; Phenotype ; Humans ; Mathematical Concepts ; Computer Simulation ; Animals

Data from: A strong test of the Maximum Entropy Theory of Ecology

Authors: Xiao, Xiao Aravajy, S. Baribault, Thomas W. et al.

Source: 10.5061/dryad.5fn46 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:figshare.com:article/4152633 ; 10.5061/dryad.5fn46/1 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|re3data_____::7980778c78fb4cf0fab13ce2159030dc ; 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 ; re3data_____::r3d100000044 ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c

Subject Terms: species abundance distribution, size distributions, trees, Life sciences, medicine and health care, Genetics, Evolutionary Biology, Ecology, Inorganic Chemistry, Science Policy, 69999 Biological Sciences not elsewhere classified, 19999 Mathematical Sciences not elsewhere classified, 29999 Physical Sciences not elsewhere classified, subset, data product, Python code, al, Xiao, Maximum Entropy Theory, analyses, dataset, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, envir, stat

Relation: http://dx.doi.org/10.5061/dryad.5fn46; https://dx.doi.org/10.5061/dryad.5fn46; https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633; http://dx.doi.org/10.5061/dryad.5fn46/1; https://dx.doi.org/10.5061/dryad.5fn46/1

Availability: https://doi.org/10.5061/dryad.5fn46
https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633
https://doi.org/10.5061/dryad.5fn46/1