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Briefings in Bioinformatics|September 16, 2021
How much can deep learning improve prediction of the responses to drugs in cancer cell lines?Yurui Chen, Louxin ZhangBriefings in Bioinformatics|September 16, 2021
NiPTUNE: an automated pipeline for noninvasive prenatal testing in an accurate, integrative and flexible frameworkVéronique Duboc, David Pratella, Marco Milanesio, et al.Briefings in Bioinformatics|September 16, 2021
Ensemble modeling with machine learning and deep learning to provide interpretable generalized rules for classifying CNS drugs with high prediction powerTzu-Hui Yu, Bo-Han Su, Leo Chander Battalora, et al.Briefings in Bioinformatics|May 24, 2020
In silico prediction of host-pathogen protein interactions in melioidosis pathogen Burkholderia pseudomallei and human reveals novel virulence factors and their targetsCristian D Loaiza, Naveen Duhan, Matthew Lister, et al.Briefings in Bioinformatics|May 7, 2021
Anti-bias training for (sc)RNA-seq: experimental and computational approaches to improve precisionPhilip Davies, Matt Jones, Juntai Liu, et al.Briefings in Bioinformatics|May 22, 2020
iWhale: a computational pipeline based on Docker and SCons for detection and annotation of somatic variants in cancer WES dataAndrea Binatti, Silvia Bresolin, Stefania Bortoluzzi, et al.Briefings in Bioinformatics|May 22, 2020
CHTKC: a robust and efficient k-mer counting algorithm based on a lock-free chaining hash tableJianan Wang, Su Chen, Lili Dong, et al.Briefings in Bioinformatics|May 20, 2020
Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnosticsXiaoqing Peng, Hong-Dong Li, Fang-Xiang Wu, et al.Briefings in Bioinformatics|June 25, 2020
RNCE: network integration with reciprocal neighbors contextual encoding for multi-modal drug community study on cancer targetsJunyi Chen, Ka-Chun WongBriefings in Bioinformatics|June 25, 2020
Comparison of microbiome samples: methods and computational challengesMatteo Comin, Barbara Di Camillo, Cinzia Pizzi, et al.Pageof 543