Výsledky vyhledávání - (( (skratene OR stat) python code analysis ) OR ( stateing python code analysis ))

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

Autoři: Li J Xu Y Ma S a další

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

Způsob vydávání: Journal Article

Informace o časopise: 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

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

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Autoři: Dunker, Fabian Mendoza, Emil Reale, Marco

Zdroj: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Témata: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Autoři: Wright, Sarah N Colton, Scott Schaffer, Leah V a další

Zdroj: Molecular Systems Biology; Jan2025, Vol. 21 Issue 1, p1-29, 29p

Témata: SYSTEMS biology, LIFE sciences, REGULATOR genes, BIOLOGICAL systems, BIOLOGICAL networks

Domain-specific decision modelling and statistical analysis for combat system effectiveness simulation.

Autoři: Li, Xiaobo Lei, Yonglin Vangheluwe, Hans a další

Zdroj: Journal of Statistical Computation & Simulation; Jun2014, Vol. 84 Issue 6, p1261-1279, 19p

Témata: STATISTICS, SIMULATION methods & models, DECISION making, QUANTITATIVE research, MATHEMATICAL optimization, DOMAIN-specific programming languages, PYTHON programming language, BAYESIAN analysis, PARAMETER estimation

Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level.

Autoři: Ehteram, Mohammad Ghanbari-Adivi, Elham

Zdroj: Environmental Science & Pollution Research; Aug2023, Vol. 30 Issue 40, p92903-92921, 19p

Témata: WATER table, STANDARD deviations, GROUNDWATER recharge, WATER rights

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autoři: Stewart, Mathew Peters, Carli Ziegler, Michael J. a další

Zdroj: Frontiers in Mammal Science. 2025, p1-27. 27p.

Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.

Autoři: Tan, Lizhi Cai, Xinyu Kong, Yuan a další

Zdroj: Journal of Animal Science & Biotechnology. 8/11/2025, Vol. 16 Issue 1, p1-21. 21p.

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

Autoři: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a další

Přispěvatelé: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a další

Zdroj: 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⟩.

Témata: 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

Dostupnost: 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

"Good Night, Good Day, Good Luck": Applying Topic Modeling to Chat Reference Transcripts.

Autoři: Ozeran, Megan Martin, Piper

Zdroj: Information Technology & Libraries; Jun2019, Vol. 38 Issue 2, p59-67, 9p, 4 Charts

Témata: ACADEMIC libraries, ALGORITHMS, INFORMATION retrieval, LIBRARY reference services, RESEARCH funding, TEXT messages, ACCESS to information, MEDICAL coding, STATISTICAL models

Geografický termín: ILLINOIS

PM4NGS, a project management framework for next-generation sequencing data analysis.

Autoři: Vera Alvarez, Roberto Pongor, Lorinc Mariño-Ramírez, Leonardo a další

Zdroj: GigaScience; Jan2021, Vol. 10 Issue 1, p1-9, 9p

Témata: DATA analysis, NUCLEOTIDE sequencing, SEQUENCE analysis, PROJECT management, PIPELINE inspection, LAPTOP computers

Strong correlation of gene counts and differentially expressed genes between a 3′ RNA-Seq and an RNA hybridization platform in transcriptome analyses from canine archival tissues.

Autoři: Haake, Alexander F. H. Loriani Fard, Alina K. Jovanovic, Vladimir M. a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-13. 13p.

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

Autoři: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a další

Přispěvatelé: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a další

Zdroj: 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⟩

Témata: 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]

Geografické téma: Bruxelles (BEL), Belgium

Dostupnost: 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

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

Autoři: Duarte, Martha Salamanca, Mayra Gonzalez, Juan M. a další

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

Témata: *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

Geografický termín: FLORIDA

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

Autoři: Whittle R Ensor J Archer L a další

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

Způsob vydávání: Journal Article

Informace o časopise: 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

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

Automation of Software Code Analysis Using Machine Learning Methods.

Autoři: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Zdroj: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

Compound-SNE: comparative alignment of t-SNEs for multiple single-cell omics data visualization.

Autoři: Cess, Colin G Haghverdi, Laleh

Zdroj: Bioinformatics; Jul2024, Vol. 40 Issue 7, p1-5, 5p

Témata: RESEARCH personnel, DATA visualization, GENE expression, DATA analysis, PYTHON programming language

ASAS-NANP symposium: mathematical modeling in animal nutrition—Making sense of big data and machine learning: how open-source code can advance training of animal scientists.

Autoři: Brennan, Jameson R. Menendez, III, Hector M. Ehlert, Krista a další

Zdroj: Journal of Animal Science. Jan2023, Vol. 101 Issue 1, p1-11. 11p. 4 Diagrams, 3 Graphs.

Data-Driven Early Warning Approach for Antimicrobial Resistance Prediction–Anomaly Detection Based on High-Level Indicators.

Autoři: Csorba, Szilveszter Vribék, Krisztián Farkas, Máté a další

Zdroj: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p935. 17p.

Survival Modelling Using Machine Learning and Immune–Nutritional Profiles in Advanced Gastric Cancer on Home Parenteral Nutrition.

Autoři: Matysiak, Konrad Hojdis, Aleksandra Szewczuk, Magdalena

Zdroj: Nutrients. Aug2025, Vol. 17 Issue 15, p2414. 16p.

An extensive study of the effects of different deep learning models on code vulnerability detection in Python code.

Autoři: Wang, Rongcun Xu, Senlei Ji, Xingyu a další

Zdroj: Automated Software Engineering; Jun2024, Vol. 31 Issue 1, p1-35, 35p