RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR CW Law, M Alhamdoosh, S Su, X Dong, L Tian, GK Smyth, ME Ritchie F1000Research 5, 2016 | 763 | 2016 |
Fast decorrelated neural network ensembles with random weights M Alhamdoosh, D Wang Information Sciences 264, 104-117, 2014 | 232 | 2014 |
Combining multiple tools outperforms individual methods in gene set enrichment analyses M Alhamdoosh, M Ng, NJ Wilson, JM Sheridan, H Huynh, MJ Wilson, ... Bioinformatics 33 (3), 414-424, 2017 | 181 | 2017 |
Four simple recommendations to encourage best practices in research software RC Jiménez, M Kuzak, M Alhamdoosh, M Barker, B Batut, M Borg, ... F1000Research 6, 2017 | 134 | 2017 |
Evolutionary extreme learning machine ensembles with size control D Wang, M Alhamdoosh Neurocomputing 102, 98-110, 2013 | 87 | 2013 |
Easy and efficient ensemble gene set testing with EGSEA M Alhamdoosh, CW Law, L Tian, JM Sheridan, M Ng, ME Ritchie F1000Research 6, 2017 | 62 | 2017 |
Machine learning applied to whole‐blood RNA‐sequencing data uncovers distinct subsets of patients with systemic lupus erythematosus WA Figgett, K Monaghan, M Ng, M Alhamdoosh, E Maraskovsky, ... Clinical & translational immunology 8 (12), e01093, 2019 | 49 | 2019 |
A guide to creating design matrices for gene expression experiments CW Law, K Zeglinski, X Dong, M Alhamdoosh, GK Smyth, ME Ritchie F1000Research 9, 2020 | 46 | 2020 |
Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization C Savojardo, P Fariselli, M Alhamdoosh, PL Martelli, A Pierleoni, ... Bioinformatics 27 (16), 2224-2230, 2011 | 45 | 2011 |
Cellular microenvironment stiffness regulates eicosanoid production and signaling pathways A Berhan, T Harris, J Jaffar, F Jativa, S Langenbach, I Lönnstedt, ... American Journal of Respiratory Cell and Molecular Biology 63 (6), 819-830, 2020 | 25 | 2020 |
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR. F1000Res 5: 1408 CW Law, M Alhamdoosh, S Su, GK Smyth, ME Ritchie | 12 | 2016 |
Modeling group heteroscedasticity in single-cell RNA-seq pseudo-bulk data Y You, X Dong, YK Wee, MJ Maxwell, M Alhamdoosh, GK Smyth, ... Genome biology 24 (1), 107, 2023 | 10 | 2023 |
Matrix metalloproteinase-7 is increased in lung bases but not apices in idiopathic pulmonary fibrosis J Jaffar, M Wong, GA Fishbein, M Alhamdoosh, L McMillan, ... ERJ open research 8 (4), 2022 | 10 | 2022 |
Topical application of human-derived Ig isotypes for the control of acute respiratory infection evaluated in a human CD89-expressing mouse model S Koernig, IK Campbell, C Mackenzie-Kludas, A Schaub, M Loetscher, ... Mucosal Immunology 12 (4), 1013-1024, 2019 | 10 | 2019 |
Four simple recommendations to encourage best practices in research software [version 1; referees: 3 approved]. F1000Res. 2017; 6: pii: ELIXIR-876 RC Jiménez, M Kuzak, M Alhamdoosh PubMed Abstract| Publisher Full Text| Free Full Text, 0 | 9 | |
Blockade of the G-CSF Receptor Is Protective in a Mouse Model of Renal Ischemia–Reperfusion Injury JL McRae, IB Vikstrom, AK Bongoni, EJ Salvaris, N Fisicaro, M Ng, ... The Journal of Immunology 205 (5), 1433-1440, 2020 | 8 | 2020 |
CSL324, a granulocyte colony-stimulating factor receptor antagonist, blocks neutrophil migration markers that are upregulated in hidradenitis suppurativa C Gamell, A Bankovacki, K Scalzo-Inguanti, B Sedgmen, M Alhamdoosh, ... British Journal of Dermatology 188 (5), 636-648, 2023 | 7 | 2023 |
Anti‐βc mAb CSL311 inhibits human nasal polyp pathophysiology in a humanized mouse xenograft model. KH Yip, NJ Wilson, H Pant, CL Brown, S Busfield, M Ng, M Alhamdoosh, ... Allergy 75 (2), 2020 | 7 | 2020 |
Modelling the transcription factor DNA-binding affinity using genome-wide ChIP-based data M Alhamdoosh, D Wang bioRxiv, 061978, 2016 | 7 | 2016 |
Anfis-based fuzzy systems for searching dna-protein binding sites D Wang, M Alhamdoosh, W Pedrycz bioRxiv, 058800, 2016 | 7 | 2016 |