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Metabolomics of medicinal plants: the importance of multivariate analysis of analytical chemistry data

Current computer-aided drug design, 2010-09, Vol.6 (3), p.179

2010

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KNApSAcK Family Databases: Integrated Metabolite-Plant Species Databases for Multifaceted Plant Research

Plant and cell physiology, 2012-02, Vol.53 (2), p.e1-e1

2012

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Study of X-13 ARIMA SEATS Modeling for Rice Price Index Data in Indonesia

Journal of physics. Conference series, 2021-03, Vol.1863 (1), p.12055

2021

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Study of Forecasting Method for Agricultural Products Using Hybrid ANN-GARCH Approach

Journal of physics. Conference series, 2021-03, Vol.1863 (1), p.12052

2021

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Informatics framework of traditional Sino-Japanese medicine (Kampo) unveiled by factor analysis

Journal of natural medicines, 2016-01, Vol.70 (1), p.107-114

2016

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Pattern Recognition of Food Security in Indonesia Using Biclustering Plaid Model

JTAM (Jurnal Teori dan Aplikasi Matematika) (Online), 2023-10, Vol.7 (4), p.1178-1192

2023

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Systems Biology in the Context of Big Data and Networks

BioMed research international, 2014-01, Vol.2014, p.428570-11

2014

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KNApSAcK Metabolite Activity Database for retrieving the relationships between metabolites and biological activities

Plant and cell physiology, 2014-01, Vol.55 (1), p.e7-e7

2014

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Utilization of KNApSAcK Family Databases for Developing Herbal Medicine Systems

Journal of Computer Aided Chemistry, 2016, Vol.17, pp.1-7

2016

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Investment and Margin Risk Analysis of Robusta Coffee Futures Contract at Jakarta Futures Exchange

Journal of physics. Conference series, 2021-03, Vol.1863 (1), p.12056

2021

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Metode AdaBoost dan Random Forest untuk Prediksi Peserta JKN-KIS yang Menunggak

Jambura journal of mathematics, 2023-01, Vol.5 (1), p.83-94

2023

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Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines

BMC bioinformatics, 2016-12, Vol.17 (1), p.520-520, Article 520

2016

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Identification of Targeted Proteins by Jamu Formulas for Different Efficacies Using Machine Learning Approach

Life (Basel, Switzerland), 2021-08, Vol.11 (8), p.866

2021

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Big Data and Network Biology 2016

BioMed research international, 2017-01, Vol.2017, p.9432460-2

2017

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Liquid Chromatography Mass Spectrometry (LC-MS) Fingerprint Combined with Chemometrics for Identification of Metabolites Content and Biological Activities of Curcuma aeruginosa

Indonesian journal of chemistry, 2018-02, Vol.18 (1), p.43-52

2018

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Big Data and Network Biology

BioMed research international, 2014-01, Vol.2014, p.836708-2

2014

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Big Data and Network Biology 2015

BioMed research international, 2015-01, Vol.2015, p.604623-2

2015

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Supervised Clustering Based on DPClusO: Prediction of Plant-Disease Relations Using Jamu Formulas of KNApSAcK Database

BioMed research international, 2014-01, Vol.2014, p.831751-15

2014

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Simultaneous clustering analysis with molecular docking in network pharmacology for type 2 antidiabetic compounds

Indonesian journal of biotechnology, 2018-01, Vol.22 (1), p.43-48

2018

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A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature

BioMed research international, 2014-01, Vol.2014, p.253128-11

2014

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Propensity Score Matching Pada Pemanfaatan Data Hasil Web Scraping Untuk Perbaikan Statistik Resmi

Jambura journal of mathematics, 2024-08, Vol.6 (2), p.226-235

2024

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Jamu Informatics: A New Perspective in Jamu Research

CICSJ Bulletin, 2016, Vol.34(2), pp.47

2016

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An Unsupervised Approach to Predict Functional Relations between Genes Based on Expression Data

BioMed research international, 2014-01, Vol.2014, p.154594-8

2014

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Active Effects Selection which Considers Heredity Principle in Multi-Factor Experiment Data Analysis

Statistics, optimization & information computing, 2020-05, Vol.8 (2), p.414-424

2020

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Algorithm for Predicting Compound Protein Interaction Using Tanimoto Similarity and Klekota-roth Fingerprint

Telkomnika, 2018-08, Vol.16 (4), p.1785-1792

2018

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Metabolomics of medicinal plants: the importance of multivariate analysis of analytical chemistry data

KNApSAcK Family Databases: Integrated Metabolite-Plant Species Databases for Multifaceted Plant Research

Study of X-13 ARIMA SEATS Modeling for Rice Price Index Data in Indonesia

Study of Forecasting Method for Agricultural Products Using Hybrid ANN-GARCH Approach

Informatics framework of traditional Sino-Japanese medicine (Kampo) unveiled by factor analysis

Pattern Recognition of Food Security in Indonesia Using Biclustering Plaid Model

Systems Biology in the Context of Big Data and Networks

KNApSAcK Metabolite Activity Database for retrieving the relationships between metabolites and biological activities

Utilization of KNApSAcK Family Databases for Developing Herbal Medicine Systems

Investment and Margin Risk Analysis of Robusta Coffee Futures Contract at Jakarta Futures Exchange

Metode AdaBoost dan Random Forest untuk Prediksi Peserta JKN-KIS yang Menunggak

Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines

Identification of Targeted Proteins by Jamu Formulas for Different Efficacies Using Machine Learning Approach

Big Data and Network Biology 2016

Liquid Chromatography Mass Spectrometry (LC-MS) Fingerprint Combined with Chemometrics for Identification of Metabolites Content and Biological Activities of Curcuma aeruginosa

Big Data and Network Biology

Big Data and Network Biology 2015

Supervised Clustering Based on DPClusO: Prediction of Plant-Disease Relations Using Jamu Formulas of KNApSAcK Database

Simultaneous clustering analysis with molecular docking in network pharmacology for type 2 antidiabetic compounds

A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature

Propensity Score Matching Pada Pemanfaatan Data Hasil Web Scraping Untuk Perbaikan Statistik Resmi

Jamu Informatics: A New Perspective in Jamu Research

An Unsupervised Approach to Predict Functional Relations between Genes Based on Expression Data

Active Effects Selection which Considers Heredity Principle in Multi-Factor Experiment Data Analysis

Algorithm for Predicting Compound Protein Interaction Using Tanimoto Similarity and Klekota-roth Fingerprint

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