Dikdik Abdulah Sidik

Bioinformatics in Genomic Analysis: Opportunities and Challenges of Leveraging Big Data for Personalized Medicine

Bioinformatics

Advances in bioinformatics and genomics technology have created great opportunities in realizing personalized medicine. This study aims to...

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Fortunate Mutanda, Belinda Ndlovu

Small Language Models for Drug-Drug Interaction Extraction from Biomedical Text: A Systematic Literature Review

Bioinformatics

Drug–drug interaction (DDI) extraction from biomedical text is central to pharmacovigilance but remains challenging in resource-constrained...

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Teuku Rizky Noviandy, Ghifari Maulana Idroes, Andi Lala, Zuchra Helwani, Rinaldi Idroes

Inductive Biases in Feature Reduction for QSAR: SHAP vs. Autoencoders

Bioinformatics

Machine learning models in drug discovery often depend on high-dimensional molecular descriptors, many of which may be redundant or irrelevant. Reduci...

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Proceedings

Published BIW'12 proceedings

Bioinformatics

Review:

This submission, titled "Published BIW'12 proceedings," appears to announce or present the compiled research papers from the BIW'12 conference. Its pr...

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Dewi Ratih Tirto Sari, Gabriella Chandrakirana Krisnamurti

1-dehydrogingerdione, Senyawa volatil jahe sebagai agen sedatif subtitutif γ-aminobutyrate (GABA); Kajian biokomputasi

Bioinformatics

Gamma aminobutyrate (GABA) merupakan molekul penting dalam sistem saraf pusat. Ekspresi GABA yang tinggi menyebabkan abnormalitas sel saraf dan mengak...

Review:

This study presents an intriguing in silico investigation into the potential of three volatile compounds from ginger – 6-paradol, 6-gingerdione, and 1...

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Alifah Nur Anzani, Irfan Martiansyah, Nia Yuliani

Studi in silico DNA barcoding pada bunga soka (Ixora)

Bioinformatics

Ixora merupakan genus tumbuhan dari famili Rubiaceae yang memiliki lebih dari 500 spesies. Genus ini, tersebar di area tropis Asia dan Afrika dengan k...

Review:

This study presents an *in silico* investigation into DNA barcoding for the *Ixora* genus, a diverse group within the Rubiaceae family popular as an o...

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Diah Siti Fatimah Azzahrah, Alamsyah Alamsyah

Comparison of Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN) Algorithms for Diabetes Classification

Bioinformatics

Purpose: This study aims to compare algorithms to determine the accuracy of the algorithm and determine the speed of the algorithm use...

Review:

The paper, "Comparison of Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN) Algorithms for Diabetes Classification," presents a study a...

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