| ELM 2016—data update and new functionality of the eukaryotic linear motif resource H Dinkel, K Van Roey, S Michael, M Kumar, B Uyar, B Altenberg, ... Nucleic acids research 44 (D1), D294-D300, 2016 | 335 | 2016 |
| Metabolic shifts in residual breast cancer drive tumor recurrence KM Havas, V Milchevskaya, K Radic, A Alladin, E Kafkia, M Garcia, ... The Journal of clinical investigation 127 (6), 2091-2105, 2017 | 154 | 2017 |
| Single-cell transcriptomics identifies CD44 as a marker and regulator of endothelial to haematopoietic transition M Oatley, ÖV Bölükbası, V Svensson, M Shvartsman, K Ganter, K Zirngibl, ... Nature communications 11 (1), 586, 2020 | 73 | 2020 |
| Structural coordinates: A novel approach to predict protein backbone conformation V Milchevskaya, AM Nikitin, SA Lukshin, IV Filatov, YV Kravatsky, ... Plos one 16 (5), e0239793, 2021 | 4 | 2021 |
| A Tool to Build Up-To-Date Gene Annotations for Affymetrix Microarrays V Milchevskaya, G Tödt, TJ Gibson Genomics and Computational Biology (conference long abstract), 2017 | 3 | 2017 |
| Method to Generate Complex Predictive Features for Machine Learning-Based Prediction of the Local Structure and Functions of Proteins YV Milchevskiy, VY Milchevskaya, YV Kravatsky Molecular Biology 57 (1), 136-145, 2023 | 1 | 2023 |
| Effective Local and Secondary Protein Structure Prediction by Combining a Neural Network-Based Approach with Extensive Feature Design and Selection without Reliance on … YV Milchevskiy, VY Milchevskaya, AM Nikitin, YV Kravatsky International Journal of Molecular Sciences 24 (21), 15656, 2023 | | 2023 |
| Group size planning for breedings of gene-modified mice and other organisms following Mendelian inheritance V Milchevskaya, P Bugnon, EBJ Ten Buren, D Vanhecke, F Brand, ... Lab animal 52 (8), 183-188, 2023 | | 2023 |
| A Method to Generate Complex Predictive Features for ML-Based Prediction of the Local Protein Structure YV Milchevskiy, VY Milchevskaya, YV Kravatsky Molekulârnaâ biologiâ 57 (1), 127-138, 2023 | | 2023 |
| Group size planning of breedings of gene-modified animals T Buch, V Milchevskaya, P Bugnon, E ten Buren, F Brand, A Tresch | | 2021 |
| Group size planning of breedings of gene-modified animals V Milchevskaya, P Bugnon, EBJ ten Buren, F Brand, A Tresch, T Buch bioRxiv, 2021.09. 17.460764, 2021 | | 2021 |
| To the fast calculation of the solvation free energy. Combining expanded ensembles with L2MC A Nikitin, V Milchevskaya, A Lyubartsev Journal of Computational Chemistry 42 (11), 787-792, 2021 | | 2021 |
| Single-cell transcriptomics identifies CD44 as a new marker and regulator of haematopoietic stem cells development BB Oatley M, Vargel Bölükbası Ö, Svensson V, Shvartsman M, Ganter K ... | | 2018 |
| Comparing Gene Expression Across Different Microarray Platforms and RNA-seq Data: Application to Breast Cancer and Pluripotent Stem Cells V Milchevskaya Ruperto-Carola University of Heidelberg, 2017 | | 2017 |
| arrayProbeRemap: a pipeline to build up-to-date annotations for Affymetrix GeneChips V Milchevskaya, T Gibson BC2 conference (poster), 0 | | |
Toby GibsonEMBLBestätigte E-Mail-Adresse bei embl.de
