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Publication search results
found 465 matches
- 2023
- Nika Abdollahi, Lucile Jeusset, Anne Langlois De Septenville, Frédéric Davi, Juliana S. Bernardes:
Reconstructing B cell lineage trees with minimum spanning tree and genotype abundances. BMC Bioinform. 24(1): 70 (2023) - Karlo Abnoosian, Rahman Farnoosh, Mohammad Hassan Behzadi:
Prediction of diabetes disease using an ensemble of machine learning multi-classifier models. BMC Bioinform. 24(1): 337 (2023) - Thomas M. Adams, Moray Smith, Yuhan Wang, Lynn H. Brown, Micha Bayer, Ingo Hein:
HISS: Snakemake-based workflows for performing SMRT-RenSeq assembly, AgRenSeq and dRenSeq for the discovery of novel plant disease resistance genes. BMC Bioinform. 24(1): 204 (2023) - Yeremia Gunawan Adhisantoso, Jan Voges, Christian Rohlfing, Viktor Tunev, Jens-Rainer Ohm, Jörn Ostermann:
GVC: efficient random access compression for gene sequence variations. BMC Bioinform. 24(1): 121 (2023) - Pasquale Claudio Africa, Roberto Piersanti, Marco Fedele, Luca Dede', Alfio Quarteroni:
lifex-fiber: an open tool for myofibers generation in cardiac computational models. BMC Bioinform. 24(1): 143 (2023) - Pasquale Claudio Africa, Roberto Piersanti, Francesco Regazzoni, Michele Bucelli, Matteo Salvador, Marco Fedele, Stefano Pagani, Luca Dede', Alfio Quarteroni:
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations. BMC Bioinform. 24(1): 389 (2023) - Shiva Afshar, Patricia R. Braun, Shizhong Han, Ying Lin:
A multimodal deep learning model to infer cell-type-specific functional gene networks. BMC Bioinform. 24(1): 47 (2023) - Fareed Ahmad, Muhammad Usman Ghani Khan, Ahsen Tahir, Farhan Masud:
Deep ensemble approach for pathogen classification in large-scale images using patch-based training and hyper-parameter optimization. BMC Bioinform. 24(1): 273 (2023) - Nouman Ahmad, Robin Strand, Björn Sparresäter, Sambit Tarai, Elin Lundström, Göran Bergström, Håkan Ahlström, Joel Kullberg:
Automatic segmentation of large-scale CT image datasets for detailed body composition analysis. BMC Bioinform. 24(1): 346 (2023) - Seungjun Ahn, Tyler Grimes, Somnath Datta:
A pseudo-value regression approach for differential network analysis of co-expression data. BMC Bioinform. 24(1): 8 (2023) - Fotis Aisopos, Georgios Paliouras:
Comparing methods for drug-gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability. BMC Bioinform. 24(1): 272 (2023) - Suraiya Akhter, John H. Miller:
BaPreS: a software tool for predicting bacteriocins using an optimal set of features. BMC Bioinform. 24(1): 313 (2023) - Amira Al-Aamri, Syafiq Kamarul Azman, Gihan Dawelbait, Habiba AlSafar, Andreas Henschel:
Critical assessment of on-premise approaches to scalable genome analysis. BMC Bioinform. 24(1): 354 (2023) - Ali Al-Fatlawi, Eka Rusadze, Alexander Shmelkin, Negin Malekian, Cigdem Ozen, Christian Pilarsky, Michael Schroeder:
Netrank: network-based approach for biomarker discovery. BMC Bioinform. 24(1): 304 (2023) - Nahla AlKurabi, Ahad AlGahtani, Turki M. Sobahy:
CACSV: a computational web-sever that provides classification for cancer somatic genetic variants from different tissues. BMC Bioinform. 24(1): 95 (2023) - Cansu Alakus, Denis Larocque, Aurélie Labbe:
Covariance regression with random forests. BMC Bioinform. 24(1): 258 (2023) - Graham Alvare, Abiel Roche-Lima, Brian Fristensky:
BioLegato: a programmable, object-oriented graphic user interface. BMC Bioinform. 24(1): 316 (2023) - Yusra A. Ameen, Dalia M. Badary, Ahmad Elbadry I. Abonnoor, Khaled F. Hussain, Adel A. Sewisy:
Which data subset should be augmented for deep learning? a simulation study using urothelial cell carcinoma histopathology images. BMC Bioinform. 24(1): 75 (2023) - Ramin Amiri, Jafar Razmara, Sepideh Parvizpour, Habib Izadkhah:
A novel efficient drug repurposing framework through drug-disease association data integration using convolutional neural networks. BMC Bioinform. 24(1): 442 (2023) - Dhiego Souto Andrade, Patrick Terrematte, César Rennó-Costa, Alona Zilberberg, Sol Efroni:
GENTLE: a novel bioinformatics tool for generating features and building classifiers from T cell repertoire cancer data. BMC Bioinform. 24(1): 32 (2023) - Najeha R. Anwardeen, Ilhame Diboun, Younes Mokrab, Asma A. Althani, Mohamed A. Elrayess:
Statistical methods and resources for biomarker discovery using metabolomics. BMC Bioinform. 24(1): 250 (2023) - Georgios Argyris, Alberto Lluch-Lafuente, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Reducing Boolean networks with backward equivalence. BMC Bioinform. 24(1): 212 (2023) - Pooja Arora, Neha Periwal, Yash Goyal, Vikas Sood, Baljeet Kaur:
iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers. BMC Bioinform. 24(1): 141 (2023) - Gianluca Ascolani, Fabrizio Angaroni, Davide Maspero, Francesco Craighero, Narra Lakshmi Sai Bhavesh, Rocco Piazza, Chiara Damiani, Daniele Ramazzotti, Marco Antoniotti, Alex Graudenzi:
LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution. BMC Bioinform. 24(1): 99 (2023) - Muhammad Asif, Hugo F. M. C. Martiniano, Andre Lamurias, Samina Kausar, Francisco M. Couto:
DGH-GO: dissecting the genetic heterogeneity of complex diseases using gene ontology. BMC Bioinform. 24(1): 171 (2023) - Pinar Karadayi Atas:
A novel hybrid model to predict concomitant diseases for Hashimoto's thyroiditis. BMC Bioinform. 24(1): 319 (2023) - Orly Avraham, Tomer Tsaban, Ziv Ben-Aharon, Linoy Tsaban, Ora Schueler-Furman:
Protein language models can capture protein quaternary state. BMC Bioinform. 24(1): 433 (2023) - Seung Min Baik, Kyung Sook Hong, Dong Jin Park:
Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records. BMC Bioinform. 24(1): 190 (2023) - Han Bao, Jinhui Zhao, Xinjie Zhao, Chunxia Zhao, Xin Lu, Guowang Xu:
Prediction of plant secondary metabolic pathways using deep transfer learning. BMC Bioinform. 24(1): 348 (2023) - Sophie Le Bars, Mathieu Bolteau, Jérémie Bourdon, Carito Guziolowski:
Predicting weighted unobserved nodes in a regulatory network using answer set programming. BMC Bioinform. 24(1): 321 (2023)
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