Search Results - (( (stateeeeeeni OR stat) python code analysis ) OR ( stavebnej 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

Re: "Estimating the effect of a treatment when there is nonadherence in a trial".

Authors: Zivich, Paul N

Source: American Journal of Epidemiology; Feb2025, Vol. 194 Issue 2, p552-553, 2p

Subject Terms: PATIENT compliance, STATISTICAL models, DATA analysis, TREATMENT effectiveness, STATISTICS, EVALUATION

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

Data Clustering with Python : From Theory to Implementation

Authors: Guojun Gan

Resource Type: eBook.

Subjects: Python (Computer program language), Cluster analysis

Categories: MATHEMATICS / Probability & Statistics / General

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

Statistics for Data Science and Analytics

Authors: Peter C. Bruce Peter Gedeck Janet Dobbins

Resource Type: eBook.

Subjects: Statistics, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General

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

Fast Python : High Performance Techniques for Large Datasets

Authors: Tiago Antao

Resource Type: eBook.

Subjects: Python (Computer program language), Electronic data processing

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Software Development & Engineering / General

Python Data Analysis, Second Edition : Data Manipulation and Complex Data Analysis with Python

Authors: Ivan Idris

Resource Type: eBook.

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

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Modeling & 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

Numerical Python

Authors: Robert Johansson

Resource Type: eBook.

Subjects: Computer programming, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Probability & Statistics / General

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

Statistics Using Python

Authors: Oswald Campesato

Resource Type: eBook.

Subjects: Python (Computer program language)--Statistical methods

Categories: MATHEMATICS / Probability & Statistics / General, COMPUTERS / General, COMPUTERS / Programming / General

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