Research graph
References from Machine learning for predicting Plasmodium liver stage development in vitro using microscopy imaging. Local targets link to admitted publications; unresolved targets remain external evidence.
The malaria cell atlas: single parasite transcriptomes across the complete plasmodium life cycle
10.1126/science.aaw2619 · 2019 · External reference
10.1128/cmr.00051-10
10.1128/cmr.00051-10 · External reference
Diagnosis of malaria parasites plasmodium spp. in endemic areas: current strategies for an ancient disease
10.1002/bies.201900138 · 2020 · External reference
Effect of linker length and residues on the structure and stability of a fusion protein with malaria vaccine application
10.1016/j.compbiomed.2016.06.015 · 2016 · External reference
10.1016/j.csbj.2022.11.014 · Admitted local publication
10.1038/nrmicro.2016.158
10.1038/nrmicro.2016.158 · External reference
10.1016/j.mib.2018.09.003
10.1016/j.mib.2018.09.003 · External reference
Guideline: the laboratory diagnosis of malaria
10.1111/bjh.12572 · 2013 · External reference
Prediction of Human-Plasmodium vivax protein associations from heterogeneous network structures based on Machine-Learning approach
10.1177/11779322211013350 · 2021 · External reference
Pf-phospho: a machine learning-based phosphorylation sites prediction tool for plasmodium proteins
10.1093/bib/bbac249 · 2022 · External reference
A new approach for malaria diagnosis in thick blood smear images
10.1016/j.bspc.2022.103931 · 2022 · External reference
10.1016/j.csbj.2022.02.005 · Admitted local publication
10.1016/j.csbj.2020.06.031 · Admitted local publication
Combining clinical symptoms and patient features for malaria diagnosis: machine learning approach
10.1080/08839514.2022.2031826 · 2022 · External reference
NLP-BCH-Ens: NLP-based intelligent computational model for discrimination of malaria parasite
10.1016/j.compbiomed.2022.105962 · 2022 · External reference
Predicting plasmodium falciparum infection status in blood using a multiplexed bead-based antigen detection assay and machine learning approaches
10.1371/journal.pone.0275096 · 2022 · External reference
10.1007/s11030-022-10380-1
10.1007/s11030-022-10380-1 · External reference
Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
10.7717/peerj.4568 · 2018 · External reference
Performance analysis of deep learning algorithms in diagnosis of malaria disease
10.3390/diagnostics13030534 · 2023 · External reference
Unresolved reference
2020 · External reference
Applying machine learning to healthcare operations management: CNN-based model for malaria diagnosis
2023 · External reference
Unresolved reference
2021 · External reference
An efficient model of residual based convolutional neural network with Bayesian optimization for the classification of malarial cell images
10.1016/j.compbiomed.2022.105635 · 2022 · External reference
10.1109/bibm.2016.7822567
10.1109/bibm.2016.7822567 · 2016 · External reference
Applying faster R-CNN for object detection on malaria images
2017 · External reference
Deep learning based automatic malaria parasite detection from blood smear and its smartphone based application
2020 · External reference
Image analysis and machine learning-based malaria assessment system
10.1016/j.dcan.2021.07.011 · 2022 · External reference
Malaria detection through digital microscopic imaging using deep greedy network with transfer learning
2021 · External reference
A dataset and benchmark for malaria life-cycle classification in thin blood smear images
2021 · External reference
A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images
10.1007/s00521-021-06604-4 · 2022 · External reference
10.1016/j.cell.2007.09.013
10.1016/j.cell.2007.09.013 · External reference
10.1038/nrmicro1529
10.1038/nrmicro1529 · External reference
Manipulation of the host cell membrane during plasmodium liver stage egress
2017 · External reference
10.1038/s41598-017-09569-4
10.1038/s41598-017-09569-4 · External reference
Hijacking of the host cell Golgi by plasmodium berghei liver stage parasites
10.1242/jcs.252213 · 2021 · External reference
Deciphering host lysosome-mediated elimination of plasmodium berghei liver stage parasites
10.1038/s41598-019-44449-z · 2019 · External reference
10.1038/nrc775
10.1038/nrc775 · External reference
Putative prefoldin complex subunit 5 of plasmodium berghei is crucial for microtubule formation and parasite development in the mosquito
10.1111/mmi.15196 · 2024 · External reference
Plasmodium berghei-mediated NRF2 activation in infected hepatocytes enhances parasite survival
2022 · External reference
Pre-gelation staining expansion microscopy for visualisation of the plasmodium liver stage
10.1242/jcs.261377 · 2023 · External reference
10.1371/journal.ppat.1004760
10.1371/journal.ppat.1004760 · External reference
10.1002/nav.3800020109
10.1002/nav.3800020109 · External reference
10.1016/0925-2312(93)90006-o
10.1016/0925-2312(93)90006-o · External reference
All models are wrong, but many are useful: learning a variable's importance by studying an entire class of prediction models simultaneously
2019 · External reference
P2Y2 purinergic receptor modulates virus yield, calcium homeostasis, and cell motility in human cytomegalovirus-infected cells
10.1073/pnas.1907562116 · 2019 · External reference
10.1186/1471-2105-9-307
10.1186/1471-2105-9-307 · External reference
Machine learning model for predicting malaria using clinical information
10.1016/j.compbiomed.2020.104151 · 2021 · External reference
10.1371/journal.ppat.1010276
10.1371/journal.ppat.1010276 · External reference
