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Genetic data analysis
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Part 2 book "Quantitative genetics, genomics and plant breeding" includes content: Genotype–environment interaction - Progress and prospects; analysing QTL–environment interaction by factorial regression, with an application to the cimmy drought and low nitrogen STR; elements of genotype–environment interaction - genetic components of the photoperiod response in maize; mechanisms of improved nitrogen use efficiency in cereals; biplot analysis of multi environment trial data,... and other contents.
182p
dianmotminh04
12-07-2024
0
0
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T-cell acute lymphoblastic leukemia (T-ALL) is a genetically heterogeneous disease with poor prognosis and inferior outcome. Although multiple studies have been perform on genomics of T-ALL, data from Indian sub-continent is scarce.
9p
vikoch
27-06-2024
2
1
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Comprehensive mutational profiling data now available on all major cancers have led to proposals of novel molecular tumor classifications that modify or replace the established organ- and tissue-based tumor typing. The rationale behind such molecular reclassifications is that genetic alterations underlying cancer pathology predict response to therapy and may therefore offer a more precise view on cancer than histology.
17p
vibransone
28-03-2024
4
2
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In recent years, research has consistently proven the occurrence of genetic overlap across autoimmune diseases, which supports the existence of common pathogenic mechanisms in autoimmunity. The objective of this study was to further investigate this shared genetic component.
13p
vibransone
28-03-2024
5
2
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Whole-exome sequencing (WES) has become an efficient diagnostic test for patients with likely monogenic conditions such as rare idiopathic diseases or sudden unexplained death. Yet, many cases remain undiagnosed. Here, we report the added diagnostic yield achieved for 101 WES cases re-analyzed 1 to 7 years after initial analysis.
8p
vibransone
28-03-2024
3
2
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Next-generation sequencing technologies have enabled a dramatic expansion of clinical genetic testing both for inherited conditions and diseases such as cancer. Accurate variant calling in NGS data is a critical step upon which virtually all downstream analysis and interpretation processes rely.
13p
vibransone
28-03-2024
4
2
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Biomedical research is becoming increasingly large-scale and international. Cloud computing enables the comprehensive integration of genomic and clinical data, and the global sharing and collaborative processing of these data within a flexibly scalable infrastructure.
12p
vioraclene
31-03-2024
4
2
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Non-coding regulatory elements (NCREs), such as enhancers, play a crucial role in gene regulation, and genetic aberrations in NCREs can lead to human disease, including brain disorders. The human brain is a complex organ that is susceptible to numerous disorders.
27p
vibransone
28-03-2024
7
2
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Genomic variants which disrupt splicing are a major cause of rare genetic diseases. However, variants which lie outside of the canonical splice sites are difficult to interpret clinically. Improving the clinical interpretation of non-canonical splicing variants offer a major opportunity to uplift diagnostic yields from whole genome sequencing data.
11p
viellison
28-03-2024
2
2
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In ebook "Weighted network analysis: Applications in genomics and systems biology" high-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.
433p
cotieubac1004
15-03-2024
6
0
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Ebook "Methods of microarray data analysis V" provides readers with contents including: data mining of malaria parasite gene expression for possible translational research; constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle; simple methods for peak and valley detection in time series microarray data;...
186p
tachieuhoa
28-01-2024
5
2
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Ebook "Big data in omics and imaging: Association analysis" addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis testing and a data mining approach to holistically dissecting the genetic structure of complex traits and to designing efficient strategies for precision medicine.
701p
lamquandat
28-12-2023
2
2
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As a potential genetic biomarker, tumor mutation burden (TMB) has made progress in numerous tumors. There are limited data regarding TMB and its prognostic role is controversial in breast cancer. This systematic review and meta-analysis were conducted to assess the prognostic value of TMB on survival of breast cancer.
12p
vileonardodavinci
23-12-2023
7
3
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Juvenile Pilocytic Astrocytomas (JPAs) are one of the most common pediatric brain tumors, and they are driven by aberrant activation of the mitogen-activated protein kinase (MAPK) signaling pathway. RAF-fusions are the most common genetic alterations identified in JPAs, with the prototypical KIAA1549-BRAF fusion leading to loss of BRAF’s auto-inhibitory domain and subsequent constitutive kinase activation.
13p
vileonardodavinci
23-12-2023
4
3
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The human proteasome gene family (PSM) consists of 49 genes that play a crucial role in cancer prote‑ostasis. However, little is known about the effect of PSM gene expression and genetic alterations on clinical outcome in different cancer forms.
19p
vialfrednobel
23-12-2023
7
4
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Part 2 book "Linear models for the prediction of animal breeding values" includes content: Analysis of longitudinal data, use of genetic markers in breeding value prediction, computation of genomic breeding values and genomic selection, non additive animal models, analysis of ordered categorical traits, survival analysis, estimation of genetic parameters,.... and other contents.
214p
oursky06
17-10-2023
8
3
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Ebook "Data mining - Know it all" includes content: What’s it all about, data acquisition and integration, data preprocessing, physical design for decision support, warehousing, and OLAP, algorithms - the basic methods, further techniques in decision analysis, fundamental concepts of genetic algorithms,... and other contents.
477p
haojiubujain07
20-09-2023
4
4
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Advancements in human genomics have generated a surge of available data, fueling the growth and accessibility of databases for more comprehensive, in-depth genetic studies. Results are consistent across the 2 cloud providers and could be highly useful for accelerating research in genetics.
6p
vighostrider
25-05-2023
5
2
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Rising interests in distributed ledger technology (DLT) and genomics have sparked various interdisciplinary research streams with a proliferating number of scattered publications investigating the application of DLT in genomics. This review aims to uncover the current state of research on DLT in genomics, in terms of focal research themes and directions for future research.
12p
vighostrider
25-05-2023
5
2
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This paper presents a genetic programming-based machine learning method for determining the effective length of a braced frame column using data from numerical analysis. From there, a the formula is convenient in practice with high accuracy is proposed.
5p
vifalcon
16-05-2023
3
3
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