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Linear programming based gene expression model (LPM-GEM) predicts the carbon source for Bacillus subtilis

BMC bioinformatics, 2022-06, Vol.23 (1), p.226-226, Article 226

2022

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Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster

PloS one, 2023-08, Vol.18 (8), p.e0288023-e0288023

2023

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Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector control

PloS one, 2024-07, Vol.19 (7), p.e0305207

2024

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Anopheles metabolic proteins in malaria transmission, prevention and control: a review

Parasites & vectors, 2020-09, Vol.13 (1), p.465-465, Article 465

2020

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Essential gene prediction in Drosophila melanogaster using machine learning approaches based on sequence and functional features

Computational and structural biotechnology journal, 2020-01, Vol.18, p.612-621

2020

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Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviral

Frontiers in microbiology, 2023-06, Vol.14, p.1193320-1193320

2023

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Anopheles gambiae Trehalase Inhibitors for Malaria Vector Control: A Molecular Docking and Molecular Dynamics Study

Insects (Basel, Switzerland), 2022-11, Vol.13 (11), p.1070

2022

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Predicting host dependency factors of pathogens in Drosophila melanogaster using machine learning

Computational and structural biotechnology journal, 2021-01, Vol.19, p.4581-4592

2021

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SOPH syndrome in three affected individuals showing similarities with progeroid cutis laxa conditions in early infancy

Journal of human genetics, 2019-07, Vol.64 (7), p.609-616

2019

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Human transcriptional gene regulatory network compiled from 14 data resources

Biochimie, 2022-02, Vol.193, p.115-125

2022

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Wiedemann–Steiner syndrome: Three further cases

American journal of medical genetics. Part A, 2010-09, Vol.152A (9), p.2372-2375

2010

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Intrafamilial variability in six family members with ERF‐related craniosynostosis syndrome type 4

American journal of medical genetics. Part A, 2022-10, Vol.188 (10), p.2969-2975

2022

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Correction: Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster

PloS one, 2024-06, Vol.19 (6), p.e0305979

2024

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Temporal progression of gene regulation of peripheral white blood cells explains gender dimorphism of critically ill patients after trauma

Molecular medicine (Cambridge, Mass.), 2019-05, Vol.25 (1), p.19-19, Article 19

2019

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Genome Sequencing of SHH Medulloblastoma Predicts Genotype-Related Response to Smoothened Inhibition

Cancer cell, 2014-03, Vol.25 (3), p.393-405

2014

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Meningeal hemangiopericytoma and solitary fibrous tumors carry the NAB2-STAT6 fusion and can be diagnosed by nuclear expression of STAT6 protein

Acta neuropathologica, 2013-05, Vol.125 (5), p.651-658

2013

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Identifying essential genes in bacterial metabolic networks with machine learning methods

BMC systems biology, 2010-05, Vol.4 (1), p.56-56, Article 56

2010

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Copy Number Alterations in Enzyme-Coding and Cancer-Causing Genes Reprogram Tumor Metabolism

Cancer research (Chicago, Ill.), 2016-07, Vol.76 (14), p.4058-4067

2016

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Large-scale in silico modeling of metabolic interactions between cell types in the human brain

Nature biotechnology, 2010-12, Vol.28 (12), p.1279-1285

2010

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Computational identification of Plasmodium falciparum RNA pseudouridylate synthase as a viable drug target, its physicochemical properties, 3D structure prediction and prediction of potential inhibitors

Infection, genetics and evolution, 2022-01, Vol.97, p.105194, Article 105194

2022

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Cognate Interaction With CD4 + T Cells Instructs Tumor-Associated Macrophages to Acquire M1-Like Phenotype

Frontiers in immunology, 2019-02, Vol.10, p.219-219

2019

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Estimating the activity of transcription factors by the effect on their target genes

Bioinformatics, 2014-09, Vol.30 (17), p.i401-i407

2014

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Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models

Molecular systems biology, 2010, Vol.6 (1), p.390-n/a

2010

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Linear programming based gene expression model (LPM-GEM) predicts the carbon source for Bacillus subtilis

Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster

Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector control

Anopheles metabolic proteins in malaria transmission, prevention and control: a review

Essential gene prediction in Drosophila melanogaster using machine learning approaches based on sequence and functional features

Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviral

Anopheles gambiae Trehalase Inhibitors for Malaria Vector Control: A Molecular Docking and Molecular Dynamics Study

Predicting host dependency factors of pathogens in Drosophila melanogaster using machine learning

Loss of the BMP antagonist, SMOC-1, causes Ophthalmo-acromelic (Waardenburg Anophthalmia) syndrome in humans and mice

SOPH syndrome in three affected individuals showing similarities with progeroid cutis laxa conditions in early infancy

Human transcriptional gene regulatory network compiled from 14 data resources

Wiedemann–Steiner syndrome: Three further cases

Intrafamilial variability in six family members with ERF‐related craniosynostosis syndrome type 4

Correction: Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster

BCAT1 promotes cell proliferation through amino acid catabolism in gliomas carrying wild-type IDH1

Temporal progression of gene regulation of peripheral white blood cells explains gender dimorphism of critically ill patients after trauma

Genome Sequencing of SHH Medulloblastoma Predicts Genotype-Related Response to Smoothened Inhibition

Meningeal hemangiopericytoma and solitary fibrous tumors carry the NAB2-STAT6 fusion and can be diagnosed by nuclear expression of STAT6 protein

Identifying essential genes in bacterial metabolic networks with machine learning methods

Copy Number Alterations in Enzyme-Coding and Cancer-Causing Genes Reprogram Tumor Metabolism

Large-scale in silico modeling of metabolic interactions between cell types in the human brain

Computational identification of Plasmodium falciparum RNA pseudouridylate synthase as a viable drug target, its physicochemical properties, 3D structure prediction and prediction of potential inhibitors

Cognate Interaction With CD4 + T Cells Instructs Tumor-Associated Macrophages to Acquire M1-Like Phenotype

Estimating the activity of transcription factors by the effect on their target genes

Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models

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