Transcriptomics Signature from Next-Generation Sequencing Data Reveals New Transcriptomic Biomarkers Related to Prostate Cancer
Alkhateeb, Abedalrhman, Rezaeian, Iman, Singireddy, Siva, Cavallo-Medved, Dora, Porter, Lisa A, Rueda, Luis
Published in Cancer informatics (2019)
Published in Cancer informatics (2019)
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Journal Article
Computationally repurposing drugs for breast cancer subtypes using a network-based approach
Firoozbakht, Forough, Rezaeian, Iman, Rueda, Luis, Ngom, Alioune
Published in BMC bioinformatics (20.04.2022)
Published in BMC bioinformatics (20.04.2022)
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Journal Article
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning [version 3; peer review: 2 approved]
Mucaki, Eliseos J, Baranova, Katherina, Pham, Huy Q, Rezaeian, Iman, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K
Published in F1000 research (01.01.2016)
Published in F1000 research (01.01.2016)
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Journal Article
A modular inquiry-based semester theme that integrates data science education and bioinformatics in protein structure function courses
Amtul, Zareen, Firoozbakht, Forough, Rezaeian, Iman, Aziz, Arham A, Gehlaut, Padmini
Published in FEMS microbiology letters (09.01.2024)
Published in FEMS microbiology letters (09.01.2024)
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Journal Article
An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data
Firoozbakht, Forough, Rezaeian, Iman, D'agnillo, Michele, Porter, Lisa, Rueda, Luis, Ngom, Alioune
Published in Journal of computational biology (01.08.2017)
Published in Journal of computational biology (01.08.2017)
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Journal Article
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning [version 1; peer review: 2 approved with reservations]
Rezaeian, Iman, Mucaki, Eliseos J, Baranova, Katherina, Pham, Huy Q, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K
Published in F1000 research (2016)
Published in F1000 research (2016)
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Journal Article
Finding Transcripts Associated with Prostate Cancer Gleason Stages Using Next Generation Sequencing and Machine Learning Techniques
Hamzeh, Osama, Alkhateeb, Abedalrhman, Rezaeian, Iman, Karkar, Aram, Rueda, Luis
Published in Bioinformatics and Biomedical Engineering (2017)
Published in Bioinformatics and Biomedical Engineering (2017)
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Book Chapter
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning [version 2; peer review: 1 approved, 1 approved with reservations]
Rezaeian, Iman, Mucaki, Eliseos J, Baranova, Katherina, Pham, Huy Q, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K
Published in F1000 research (2016)
Published in F1000 research (2016)
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Journal Article
Subscription and Redemption Prediction in Mutual Funds Using Machine Learning Techniques
Mashayekhi, Morteza, Rezaeian, Iman, Zhang, Annie Z., Anders, Jonathan
Published in 2018 IEEE International Conference on Big Data (Big Data) (01.12.2018)
Published in 2018 IEEE International Conference on Big Data (Big Data) (01.12.2018)
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Conference Proceeding
ZSeq 2.0: A fully automatic preprocessing method for next generation sequencing data
Alkhateeb, Abed, Rezaeian, Iman, Rueda, Luis
Published in 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (01.11.2015)
Published in 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (01.11.2015)
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Conference Proceeding