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For: Campos TL, Korhonen PK, Sternberg PW, Gasser RB, Young ND. Predicting gene essentiality in Caenorhabditis elegans by feature engineering and machine-learning. Comput Struct Biotechnol J 2020;18:1093-102. [PMID: 32489524 DOI: 10.1016/j.csbj.2020.05.008] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 4.5] [Reference Citation Analysis]
Number Citing Articles
1 Zhang G, Roberto NM, Lee D, Hahnel SR, Andersen EC. The impact of species-wide gene expression variation on Caenorhabditis elegans complex traits. Nat Commun 2022;13:3462. [PMID: 35710766 DOI: 10.1038/s41467-022-31208-4] [Reference Citation Analysis]
2 Panditrao G, Bhowmick R, Meena C, Sarkar RR. Emerging landscape of molecular interaction networks: Opportunities, challenges and prospects. J Biosci 2022;47. [DOI: 10.1007/s12038-022-00253-y] [Reference Citation Analysis]
3 Herath HMPD, Taki AC, Rostami A, Jabbar A, Keiser J, Geary TG, Gasser RB. Whole-organism phenotypic screening methods used in early-phase anthelmintic drug discovery. Biotechnol Adv 2022;:107937. [PMID: 35271946 DOI: 10.1016/j.biotechadv.2022.107937] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
4 Zhang G, Roberto NM, Lee D, Hahnel SR, Andersen EC. An atlas of gene expression variation across the Caenorhabditis elegans species.. [DOI: 10.1101/2022.02.06.479320] [Reference Citation Analysis]
5 Grishok A. Small RNAs Worm Up Transgenerational Epigenetics Research. DNA (Basel) 2021;1:37-48. [PMID: 34725653 DOI: 10.3390/dna1020005] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Campos TL, Korhonen PK, Hofmann A, Gasser RB, Young ND. Harnessing model organism genomics to underpin the machine learning-based prediction of essential genes in eukaryotes - Biotechnological implications. Biotechnol Adv 2021;:107822. [PMID: 34461202 DOI: 10.1016/j.biotechadv.2021.107822] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
7 Campos TL, Korhonen PK, Young ND. Cross-Predicting Essential Genes between Two Model Eukaryotic Species Using Machine Learning. Int J Mol Sci 2021;22:5056. [PMID: 34064595 DOI: 10.3390/ijms22105056] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
8 Young ND, Stroehlein AJ, Kinkar L, Wang T, Sohn WM, Chang BCH, Kaur P, Weisz D, Dudchenko O, Aiden EL, Korhonen PK, Gasser RB. High-quality reference genome for Clonorchis sinensis. Genomics 2021;113:1605-15. [PMID: 33677057 DOI: 10.1016/j.ygeno.2021.03.001] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 11.0] [Reference Citation Analysis]