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Publication search results
found 742 matches
- 2022
- Rashmie Abeysinghe, Yuntao Yang, Mason Bartels, W. Jim Zheng, Licong Cui:
An evidence-based lexical pattern approach for quality assurance of Gene Ontology relations. Briefings Bioinform. 23(3) (2022) - Klaudia Adamowicz, Andreas Maier, Jan Baumbach, David B. Blumenthal:
Online in silico validation of disease and gene sets, clusterings or subnetworks with DIGEST. Briefings Bioinform. 23(4) (2022) - Giuseppe Agapito, Chiara Pastrello, Yun Niu, Igor Jurisica:
Pathway integration and annotation: building a puzzle with non-matching pieces and no reference picture. Briefings Bioinform. 23(5) (2022) - Suruchi Aggarwal, Anurag Raj, Dhirendra Kumar, Debasis Dash, Amit Kumar Yadav:
False discovery rate: the Achilles' heel of proteogenomics. Briefings Bioinform. 23(5) (2022) - Talal Ahmed, Mark A. Carty, Stephane Wenric, Jonathan R. Dry, Ameen A. Salahudeen, Aly A. Khan, Eric Lefkofsky, Martin C. Stumpe, Raphael Pelossof:
Privacy preserving validation for multiomic prediction models. Briefings Bioinform. 23(3) (2022) - Wajdi Alghamdi, Muhammad Attique, Ebraheem Alzahrani, Malik Zaka Ullah, Yaser Daanial Khan:
LBCEPred: a machine learning model to predict linear B-cell epitopes. Briefings Bioinform. 23(3) (2022) - Muhalb M. Alsaffar, Mohammad Hasan, Gavin P. McStay, Mohamed Sedky:
Digital DNA lifecycle security and privacy: an overview. Briefings Bioinform. 23(2) (2022) - Sare Amerifar, Mohammad Norouzi, Mahmoud Ghandi:
A tool for feature extraction from biological sequences. Briefings Bioinform. 23(3) (2022) - Xin An, Xi Chen, Daiyao Yi, Hongyang Li, Yuanfang Guan:
Representation of molecules for drug response prediction. Briefings Bioinform. 23(1) (2022) - Hyunsu An, Minho Eun, Jawoon Yi, Jihwan Park:
CRESSP: a comprehensive pipeline for prediction of immunopathogenic SARS-CoV-2 epitopes using structural properties of proteins. Briefings Bioinform. 23(2) (2022) - Benedict Anchang, Raul Mendez-Giraldez, Xiaojiang Xu, Trevor K. Archer, Qing Chen, Guang Hu, Sylvia K. Plevritis, Alison Anne Motsinger-Reif, Jian-Liang Li:
Visualization, benchmarking and characterization of nested single-cell heterogeneity as dynamic forest mixtures. Briefings Bioinform. 23(2) (2022) - Renan Andrades, Mariana Recamonde Mendoza:
Machine learning methods for prediction of cancer driver genes: a survey paper. Briefings Bioinform. 23(3) (2022) - Chunyan Ao, Quan Zou, Liang Yu:
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences. Briefings Bioinform. 23(1) (2022) - Lis Arend, Judith Bernett, Quirin Manz, Melissa Klug, Olga Lazareva, Jan Baumbach, Dario Bongiovanni, Markus List:
A systematic comparison of novel and existing differential analysis methods for CyTOF data. Briefings Bioinform. 23(1) (2022) - Olufemi Aromolaran, Damilare Aromolaran, Itunuoluwa Isewon, Jelili Oyelade:
Corrigendum to: Machine learning approach to gene essentiality prediction: a review. Briefings Bioinform. 23(1) (2022) - Deepak Nag Ayyala, Jianan Lin, Zhengqing Ouyang:
Differential RNA methylation using multivariate statistical methods. Briefings Bioinform. 23(1) (2022) - Jun Bai, Renbo Tan, Zheng An, Ying Xu:
Quantitative estimation of intracellular oxidative stress in human tissues. Briefings Bioinform. 23(4) (2022) - Laura Balagué-Dobón, Alejandro Cáceres, Juan R. González:
Fully exploiting SNP arrays: a systematic review on the tools to extract underlying genomic structure. Briefings Bioinform. 23(2) (2022) - Siqi Bao, Ke Li, Congcong Yan, Zicheng Zhang, Jia Qu, Meng Zhou:
Deep learning-based advances and applications for single-cell RNA-sequencing data analysis. Briefings Bioinform. 23(1) (2022) - Martin Bartas, Adriana Volná, Christopher A. Beaudoin, Ebbe Toftgaard Poulsen, Jirí Cerven, Václav Brázda, Vladimír Spunda, Tom L. Blundell, Petr Pecinka:
Unheeded SARS-CoV-2 proteins? A deep look into negative-sense RNA. Briefings Bioinform. 23(3) (2022) - Shaherin Basith, Gwang Lee, Balachandran Manavalan:
STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction. Briefings Bioinform. 23(1) (2022) - Gil Ben-Cohen, Flora Doffe, Michal Devir, Bernard Leroy, Thierry Soussi, Shai Rosenberg:
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53. Briefings Bioinform. 23(2) (2022) - Yue Bi, Fuyi Li, Xudong Guo, Zhikang Wang, Tong Pan, Yuming Guo, Geoffrey I. Webb, Jianhua Yao, Cangzhi Jia, Jiangning Song:
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations. Briefings Bioinform. 23(6) (2022) - Xia-an Bi, Lou Li, Zizheng Wang, Yu Wang, Xun Luo, Luyun Xu:
IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data. Briefings Bioinform. 23(3) (2022) - Xia-an Bi, Yuhua Mao, Sheng Luo, Hao Wu, Lixia Zhang, Xun Luo, Luyun Xu:
A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection. Briefings Bioinform. 23(6) (2022) - Xia-an Bi, Wenyan Zhou, Sheng Luo, Yuhua Mao, Xi Hu, Bin Zeng, Luyun Xu:
Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer's disease. Briefings Bioinform. 23(3) (2022) - Pedro Blecua, Veronica Davalos, Izar de Villasante, Angelika Merkel, Eva Musulen, Laia Coll-Sanmartin, Manel Esteller:
Refinement of computational identification of somatic copy number alterations using DNA methylation microarrays illustrated in cancers of unknown primary. Briefings Bioinform. 23(5) (2022) - Andrea Bommert, Thomas Welchowski, Matthias Schmid, Jörg Rahnenführer:
Benchmark of filter methods for feature selection in high-dimensional gene expression survival data. Briefings Bioinform. 23(1) (2022) - Leroy Bondhus, Roshni Varma, Yenifer Hernandez, Valerie A. Arboleda:
Balancing the transcriptome: leveraging sample similarity to improve measures of gene specificity. Briefings Bioinform. 23(5) (2022) - Robson Bonidia, Anderson P. Avila-Santos, Breno Lívio Silva de Almeida, Peter F. Stadler, Ulisses Nunes da Rocha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho:
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings Bioinform. 23(4) (2022)
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