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Plos One
|
December 15, 2015
Mining Chemical Activity Status from High-Throughput Screening Assays
Othman Soufan, Wail Ba-alawi, Moataz Afeef, et al.
Frontiers in Endocrinology
|
February 6, 2023
Type 2 Diabetes Mellitus and its comorbidity, Alzheimer's disease: Identifying critical microRNA using machine learning
Hind Alamro, Vladan Bajic, Mirjana T Macvanin, et al.
Computational Biology and Chemistry
|
July 24, 2023
MicroRNA networks linked with BRCA1/2, PTEN, and common genes for Alzheimer's disease and breast cancer share highly enriched pathways that may unravel targets for the AD/BC comorbidity treatment
Nina Petrović, Magbubah Essack, Ahmad Šami, et al.
ACS Synthetic Biology
|
November 17, 2020
PATH<sup>cre8</sup>: A Tool That Facilitates the Searching for Heterologous Biosynthetic Routes
Olaa Motwalli, Mahmut Uludag, Ivan Mijakovic, et al.
Molecular Biology Reports
|
April 15, 2024
The involvement of Akt, mTOR, and S6K in the in vivo effect of IGF-1 on the regulation of rat cardiac Na<sup>+</sup>/K<sup>+</sup>-ATPase
Katarina Banjac, Milan Obradovic, Sonja Zafirovic, et al.
Journal of Cheminformatics
|
September 23, 2021
DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning
Maha A Thafar, Rawan S Olayan, Somayah Albaradei, et al.
Frontiers in Molecular Biosciences
|
August 8, 2022
<i>MetastaSite</i>: Predicting metastasis to different sites using deep learning with gene expression data
Somayah Albaradei, Abdurhman Albaradei, Asim Alsaedi, et al.
BMC Cancer
|
July 8, 2009
DDEC: Dragon database of genes implicated in esophageal cancer
Magbubah Essack, Aleksandar Radovanovic, Ulf Schaefer, et al.
BMC Genomics
|
December 17, 2009
Deciphering the transcriptional circuitry of microRNA genes expressed during human monocytic differentiation
Sebastian Schmeier, Cameron R MacPherson, Magbubah Essack, et al.
Gene
|
September 8, 2021
Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA
Somayah Albaradei, Arturo Magana-Mora, Maha Thafar, et al.
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Search research articles
Search
Showing results (31-40 of 78) with videos related to
Sort By:
Page
of 8
Plos One
|
December 15, 2015
Mining Chemical Activity Status from High-Throughput Screening Assays
Othman Soufan, Wail Ba-alawi, Moataz Afeef, et al.
Frontiers in Endocrinology
|
February 6, 2023
Type 2 Diabetes Mellitus and its comorbidity, Alzheimer's disease: Identifying critical microRNA using machine learning
Hind Alamro, Vladan Bajic, Mirjana T Macvanin, et al.
Computational Biology and Chemistry
|
July 24, 2023
MicroRNA networks linked with BRCA1/2, PTEN, and common genes for Alzheimer's disease and breast cancer share highly enriched pathways that may unravel targets for the AD/BC comorbidity treatment
Nina Petrović, Magbubah Essack, Ahmad Šami, et al.
ACS Synthetic Biology
|
November 17, 2020
PATH<sup>cre8</sup>: A Tool That Facilitates the Searching for Heterologous Biosynthetic Routes
Olaa Motwalli, Mahmut Uludag, Ivan Mijakovic, et al.
Molecular Biology Reports
|
April 15, 2024
The involvement of Akt, mTOR, and S6K in the in vivo effect of IGF-1 on the regulation of rat cardiac Na<sup>+</sup>/K<sup>+</sup>-ATPase
Katarina Banjac, Milan Obradovic, Sonja Zafirovic, et al.
Journal of Cheminformatics
|
September 23, 2021
DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning
Maha A Thafar, Rawan S Olayan, Somayah Albaradei, et al.
Frontiers in Molecular Biosciences
|
August 8, 2022
<i>MetastaSite</i>: Predicting metastasis to different sites using deep learning with gene expression data
Somayah Albaradei, Abdurhman Albaradei, Asim Alsaedi, et al.
BMC Cancer
|
July 8, 2009
DDEC: Dragon database of genes implicated in esophageal cancer
Magbubah Essack, Aleksandar Radovanovic, Ulf Schaefer, et al.
BMC Genomics
|
December 17, 2009
Deciphering the transcriptional circuitry of microRNA genes expressed during human monocytic differentiation
Sebastian Schmeier, Cameron R MacPherson, Magbubah Essack, et al.
Gene
|
September 8, 2021
Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA
Somayah Albaradei, Arturo Magana-Mora, Maha Thafar, et al.
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of 8