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Mal-Prec: computational prediction of protein Malonylation sites via machine learning based feature integration : Malonylation site prediction.

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Related Articles Mal-Prec: computational prediction of protein Malonylation sites via machine learning based feature integration : Malonylation site prediction. BMC Genomics. 2020 Nov 23;21(1):812 Authors:...
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Defining natural baselines for rates of change in New Zealand's groundwater quality: Dealing with incomplete or disparate datasets, accounting for impacted sites, and merging into state of the-environment reporting.

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Related Articles Defining natural baselines for rates of change in New Zealand’s groundwater quality: Dealing with incomplete or disparate datasets, accounting for impacted sites, and...
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Machine learning methods in prediction of protein palmitoylation sites: A brief review.

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Related Articles Machine learning methods in prediction of protein palmitoylation sites: A brief review. Curr Pharm Des. 2020 Nov 12;: Authors: Li Y, Pu F,...
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Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework.

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Related Articles Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Brief Bioinform. 2020 Nov 05;: Authors: Wei...
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Programmable cross-ribosome-binding sites to fine-tune the dynamic range of transcription factor-based biosensor.

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Related Articles Programmable cross-ribosome-binding sites to fine-tune the dynamic range of transcription factor-based biosensor. Nucleic Acids Res. 2020 10 09;48(18):10602-10613 Authors: Ding N, Yuan Z,...
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DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information.

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Related Articles DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information. Anal Biochem. 2020 Sep 16;:113955 Authors: Ahmed...
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Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework.

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Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework. Brief Bioinform. 2020 Sep...
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Superior outcomes of nodal metastases compared to visceral sites in oligometastatic colorectal cancer treated with stereotactic ablative radiotherapy

Newsemia
O’Cathail, SM; Smith, T; Owens, R; Zeniou, A; Tsang, Y; Lp Holyoake, D; Murray, L; … Hawkins, MA; + view all O’Cathail, SM; Smith, T;...
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Experience-dependent structural plasticity at pre- and postsynaptic sites of layer 2/3 cells in developing visual cortex

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Sun, YJ; Espinosa, JS; Hoseini, MS; Stryker, MP; (2019) Experience-dependent structural plasticity at pre- and postsynaptic sites of layer 2/3 cells in developing visual cortex....
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DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines.

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Related Articles DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines. J Chem Inf Model. 2019 06 24;59(6):3057-3071 Authors:...
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Computational analysis of airflow dynamics for predicting collapsible sites in the upper airways: machine learning approach.

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Related Articles Computational analysis of airflow dynamics for predicting collapsible sites in the upper airways: machine learning approach. J Appl Physiol (1985). 2019 10 01;127(4):959-973...
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DeepTL-Ubi: a novel deep transfer learning method for effectively predicting ubiquitination sites of multiple species.

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DeepTL-Ubi: a novel deep transfer learning method for effectively predicting ubiquitination sites of multiple species. Methods. 2020 Aug 10;: Authors: Liu Y, Li A, Zhao...

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