Tin Nguyen and his Ph.D. students Duc Tran, Hung Nguyen and Bang Tran have used the data processing power of machine learning to develop a novel w88 casino games to support the research of life scientists. Named scDHA (single-cell Decomposition using Hierarchical Autoencoder), the w88 casino games uses machine learning to address a key problem life scientists run into during their research: too much data to process. With the results of their efforts to solve this problem recently published in Nature Communications, “Fast and precise single-cell w88 casino games analysis using a hierarchical autoencoder,” Nguyen’s team is now looking to serve fellow researchers by using the w88 casino games to support their analysis of large quantities of cell data.
Nguyen was kind enough to participate in a Q&A about the w88 casino games to illustrate how it works and describe some of its capabilities.
What problem does the w88 casino games help life scientists (biologists and medical doctors) overcome?
Biotechnologies has advanced to a degree where w88 casino games can measure the gene expression of individual cells in our body. This technology is called single-cell sequencing. One experiment can generate the expression of millions of cells and tens of thousands of genes (can be represented as a matrix with millions of rows/cells and tens of thousands of columns/genes). It is hard to analyze such data. Adding to the challenge is the dropout events, in which many genes and cells cannot be measured due to the low amount of biological material available for the cells. It is extremely difficult to mine such data to gain biological knowledge.
How does the w88 casino games—scDHA (single-cell Decomposition using Hierarchical Autoencoder)—work?
To mine the data from the noisy and large data, we used multiple state-of-the-art techniques in machine learning. First, we developed a novel non-negative kernel autoencoder (neural networks) to eliminate genes that do not play important roles in differentiating the cells. Second, we developed a stacked Bayessian autoencoder (neural networks) to transform the data of tens of thousands of dimensions to a space with only 15 dimensions. Finally, we developed four different techniques to: (1) visualize the transcriptome landscape of millions of cells, (2) group them into different cell types, (3) infer the developmental stages of each cell, and (4) build a classifier to accurately classify the cell of w88 casino games data.
The w88 casino games has four different applications. Can you explain what it can do?
Visualization: The first step in the analysis pipeline for most life w88 casino games. The data is transformed from high dimensional space into a 2D landscape, which is often called Transcriptome Landscape, so life w88 casino games can observe the landscape of the cells, and the relative distance between them.
w88 casino games segregation: The goal to separate the w88 casino games into groups that are likely to have the same bodily functions with similar biological features. This is particularly important in constructing cell atlas for tissues in different organisms.
Time-trajectory inference: The goal of this is to infer the developmental trajectory of the w88 casino games in the experiment. We will arrange w88 casino games in an order that presents the development process of the w88 casino games over time (time-trajectory). Biologists can use this trajectory to investigate the mechanism of how w88 casino games can develop to different cell types.
w88 casino games classification: This is particularly important to reuse the data we already collected to study the w88 casino games data. Given well-studied datasets with validated cell types and well-understood mechanisms, we build a classifier that can accurately classify the cells of w88 casino games datasets.
What doors to new knowledge (or techniques or technologies) do you foresee the w88 casino games opening?
Visualization: Important in exploring the w88 casino games, especially when analyzing tissues that have not been studied before.
w88 casino games segregation: Important in studying w88 casino games tissues. This allows scientists to group cells according to their functions.
Time-trajectory inference: This is important to understand how w88 casino games divide and develop over time.
w88 casino games classification: Allows us to classify cells of w88 casino games datasets.
Currently we only understand something about human tissues at the cell resolution. Single-cell technologies open up a whole w88 casino games world for us to understand the composition of tissues, how they develop and interact. Without tools such as ours, it is impossible for life scientists to mine information from such large and high-dimensional data. The same can be said for thousands of model and non-model species.
What is next for the w88 casino games?
Now, we wish to connect to life w88 casino games that want their single-cell data analyzed at UNR.
Single-cell technology is a relatively new and expensive. We developed and validated this w88 casino games using data that were made available by the Broad Institute, Wellcome Sanger Institute, and NIH Gene Expression Omnibus. Now, we wish to connect to life scientists that want their single-cell data analyzed at UNR.
Can the w88 casino games be applied in other arenas?
Even though we developed this platform for single-cell w88 casino games analysis, we wish to apply this technology to other research areas too, including subtyping cancer patients (clustering), patient classification, functional analysis (pathway analysis), etc. Our research lab has published high-level journal articles in the above-mentioned research areas.
Calling all collaborators
The Department of Computer Science and Engineering has the expertise to support w88 casino games across campus. Those hoping to work with w88 casino games and his team are encouraged to email Professor w88 casino games to discuss the details of their project.
