Search Results - "Karpulevich, Evgeny"
-
1
Enhancing SNV identification in whole-genome sequencing data through the incorporation of known genetic variants into the minimap2 index
Published in BMC bioinformatics (13-07-2024)“…Alignment of reads to a reference genome sequence is one of the key steps in the analysis of human whole-genome sequencing data obtained through…”
Get full text
Journal Article -
2
Europeans and Americans of European origin show differences between their biological pathways related to the major histocompatibility complex
Published in Scientific reports (18-09-2024)“…In this study, we analysed biological pathway diversity among Europeans and Northern Americans of European origin, the groups of people that share a common…”
Get full text
Journal Article -
3
Convolutional Neural Networks Can Predict Retinal Differentiation in Retinal Organoids
Published in Frontiers in cellular neuroscience (03-07-2020)“…We have developed a deep learning-based computer algorithm to recognize and predict retinal differentiation in stem cell-derived organoids based on…”
Get full text
Journal Article -
4
-
5
Biomedical Applications of Non-Small Cell Lung Cancer Spheroids
Published in Frontiers in oncology (07-12-2021)“…Lung malignancies accounted for 11% of cancers worldwide in 2020 and remained the leading cause of cancer deaths. About 80% of lung cancers belong to non-small…”
Get full text
Journal Article -
6
Deep Semantic Segmentation of Angiogenesis Images
Published in International journal of molecular sciences (06-01-2023)“…Angiogenesis is the development of new blood vessels from pre-existing ones. It is a complex multifaceted process that is essential for the adequate…”
Get full text
Journal Article -
7
EndoNet: A Model for the Automatic Calculation of H-Score on Histological Slides
Published in Informatics (Basel) (01-12-2023)“…H-score is a semi-quantitative method used to assess the presence and distribution of proteins in tissue samples by combining the intensity of staining and the…”
Get full text
Journal Article -
8
EndoNuke: Nuclei Detection Dataset for Estrogen and Progesterone Stained IHC Endometrium Scans
Published in Data (Basel) (01-06-2022)“…We present EndoNuke, an open dataset consisting of tiles from endometrium immunohistochemistry slides with the nuclei annotated as keypoints. Several experts…”
Get full text
Journal Article -
9
Comparative Analysis of the Transcriptome, Proteome, and miRNA Profile of Kupffer Cells and Monocytes
Published in Biomedicines (18-12-2020)“…Macrophage populations in most mammalian organs consist of cells of different origin. Resident macrophages originate from erythromyeloid precursors of the yolk…”
Get full text
Journal Article -
10
Neural network interpretation techniques for analysis of histological images of breast abnormalities
Published in Ginekologiâ (Moskva. Online) (20-01-2023)“…Background. Neural networks are actively used in digital pathology to analyze histological images and support medical decision-making. A common approach is to…”
Get full text
Journal Article -
11
Modification of the Method for Calculating Polygenic Risks With Variation Graph
Published in Trudy Instituta sistemnogo programmirovaniâ (2022)“…Representation of the DNA sequence is possible in various ways. The variation graph is one of the most accurate methods that allows you to work with atypical…”
Get full text
Journal Article -
12
Modification of the short read alignment algorithm to improve the quality of the human whole genome sequencing data processing pipeline
Published in Trudy Instituta sistemnogo programmirovaniâ (2023)“…This study emphasizes the importance of aligning short reads in the analysis of human whole-genome sequencing data. The alignment process involves determining…”
Get full text
Journal Article -
13
A New Approach of Detecting ALK Fusion Oncogenes by RNA Sequencing Exon Coverage Analysis
Published in Cancers (16-11-2024)“…Background: In clinical practice, various methods are used to identify ALK gene rearrangements in tumor samples, ranging from “classic” techniques, such as…”
Get full text
Journal Article -
14
Diagnosis of left atrial and left ventricular hypertrophies using a deep neural network
Published in Trudy Instituta sistemnogo programmirovaniâ (2020)Get full text
Journal Article -
15
Application of HDBSСAN Method for Clustering scRNA-seq Data
Published in Trudy Instituta sistemnogo programmirovaniâ (2020)“…One of the main tasks in the analysis of single cell RNA sequencing (scRNA-seq) data is the identification of cell types and subtypes, which is usually based…”
Get full text
Journal Article -
16
Methods for determining the elements of the PQRST-complex of the electrocardiogram
Published in Trudy Instituta sistemnogo programmirovaniâ (2022)“…An electrocardiogram (ECG) is one of the most common medical examinations. High-quality interpretation of a 12-channel electrocardiogram is important for…”
Get full text
Journal Article -
17
Assessment of the impact of non-architectural changes in the predictive model on the quality of ECG classification
Published in Trudy Instituta sistemnogo programmirovaniâ (2021)“…Recording and analyzing 12-lead electrocardiograms is the most common procedure for detecting heart disease. Recently, various deep learning methods have been…”
Get full text
Journal Article -
18
MamT$^4$: Multi-view Attention Networks for Mammography Cancer Classification
Published 03-11-2024“…In this study, we introduce a novel method, called MamT$^4$, which is used for simultaneous analysis of four mammography images. A decision is made based on…”
Get full text
Journal Article -
19
MamT4: Multi-View Attention Networks for Mammography Cancer Classification
Published in 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC) (02-07-2024)“…In this study, we introduce a novel method, called \text{MamT}^4 , which is used for simultaneous analysis of four mammography images. A decision is made based…”
Get full text
Conference Proceeding -
20
EndoNet: model for automatic calculation of H-score on histological slides
Published 22-08-2023“…H-score is a semi-quantitative method used to assess the presence and distribution of proteins in tissue samples by combining the intensity of staining and…”
Get full text
Journal Article