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درباره برتیناتماس با ماهوش مصنوعی رایگانایمیل رایگانمترجم رایگانDNS رایگانهواشناسیکاوش برتیناپشتیبانیتبلیغ در برتینا
درباره سرچحریم خصوصیشرایط

برتینا (فناوری پیشرفته پارسیان) شرکت دانش‌بنیان حوزه هوش مصنوعی

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ieeexplore.ieee.org/abstract/document/7276997/PDF

IAS: Interaction specific GO term associations for predicting Protein-Protein Interaction Networks

S Yerneni, IK Khan, Q Wei… - IEEE/ACM transactions on …, 2015 - ieeexplore.ieee.org
۲۱ ارجاع2015

Proteins carry out their function in a cell through interactions with other proteins. A large scale protein-protein interaction (PPI) network of an organism provides static yet an essential …

link.springer.com/article/10.1186/s13059-016-1037-6PDF

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Y Jiang, TR Oron, WT Clark, AR Bankapur, D D'Andrea… - Genome biology, 2016 - Springer
۵۱۸ ارجاع2016

Background A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most …

www.researchgate.net/profile/Abdul-Museeeb/publication/398239206_En...PDF

Enhanced android malware detection using deep learning and ensemble techniques

A Museeb, Y Hamed, R Sokkalingam… - … Journal of Advanced …, 2025 - researchgate.net
۲ ارجاع2025

Android malware continues to pose significant security threats, with evolving tactics that often bypass traditional detection systems. Existing detection mechanisms remain ineffective …

academic.oup.com/gigascience/article-abstract/4/1/s13742-015-00...PDF

The PFP and ESG protein function prediction methods in 2014: effect of database updates and ensemble approaches

IK Khan, Q Wei, S Chapman, DB Kc, D Kihara - GigaScience, 2015 - academic.oup.com
۱۹ ارجاع2015

Background Functional annotation of novel proteins is one of the central problems in bioinformatics. With the ever-increasing development of genome sequencing technologies, more …

vfast.org/journals/index.php/VTESS/article/view/1380PDF

The relationship between perceived psychological barriers, anxiety, and rural affiliation of Pakistani college students to communicate in English

MA Soomro, MA Rajper, MA Koondhar… - VFAST Transactions on …, 2023 - vfast.org
۷ ارجاع2023

Learning a foreign language is always a challenging and complicated process. Learning other than the native language encounters several psychological barriers in the minds of …

www.sciencedirect.com/science/article/pii/S1110016825000559

Standardizing reference data in gap statistic for selection optimal number of cluster in K-means algorithm

IK Khan, H Daud, N Zainuddin… - Alexandria Engineering …, 2025 - Elsevier
۳۵ ارجاع2025

Clustering aims to partition data into distinct groups where the data points within each cluster are highly similar, while remaining dissimilar to those in other clusters. The K-means …

www.researchgate.net/profile/Elsa-Estevez/publication/250056537_Hum...PDF

Human capacity development for e-government

A Ojo, T Janowski, E Estevez, IK Khan - United Nation University, 2007 - researchgate.net
۱۳ ارجاع2007

The paper addresses the requirements for human capacity development for e-government in general and for Macao in particular. It starts by justifying the training of public officers as a …

link.springer.com/article/10.1186/s12859-017-1600-5PDF

NaviGO: interactive tool for visualization and functional similarity and coherence analysis with gene ontology

Q Wei, IK Khan, Z Ding, S Yerneni, D Kihara - BMC bioinformatics, 2017 - Springer
۸۸ ارجاع2017

Background The number of genomics and proteomics experiments is growing rapidly, producing an ever-increasing amount of data that are awaiting functional interpretation. A number …

academic.oup.com/bioinformatics/article-abstract/35/8/1388/5091331PDF

Prediction of protein group function by iterative classification on functional relevance network

IK Khan, A Jain, R Rawi, H Bensmail, D Kihara - Bioinformatics, 2019 - academic.oup.com
۱۰ ارجاع2019

Motivation Biological experiments including proteomics and transcriptomics approaches often reveal sets of proteins that are most likely to be involved in a disease/disorder. To …

www.nature.com/articles/s41598-025-20534-4PDF

A deep learning framework with hybrid stacked sparse autoencoder for type 2 diabetes prediction

Abdussamad, H Daud, R Sokkalingam, M Zubair… - Scientific Reports, 2025 - nature.com
۳ ارجاع2025

Sparse numerical datasets are dominant in fields such as applied mathematics, astronomy, finance, and healthcare, presenting challenges due to their high dimensionality and sparse …

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