Zobrazeno 1 - 10
of 388
pro vyhledávání: '"Dennis, Shasha"'
Autor:
Duan, Jinli, Dennis, Shasha
Scientific workflows facilitate computational, data manipulation, and sometimes visualization steps for scientific data analysis. They are vital for reproducing and validating experiments, usually involving computational steps in scientific simulatio
Externí odkaz:
http://arxiv.org/abs/2311.12308
Publikováno v:
Forecasting, Vol 6, Iss 2, Pp 434-455 (2024)
Forecasting returns in financial markets is notoriously challenging due to the resemblance of price changes to white noise. In this paper, we propose novel methods to address this challenge. Employing high-frequency Brazilian stock market data at one
Externí odkaz:
https://doaj.org/article/ab6de20e09744e5788ac4f78a78a2e80
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 9021 (2024)
DietNerd is a large language model-based system designed to enhance public health education in diet and nutrition. The system responds to user questions with concise, evidence-based summaries and assesses the quality and potential biases of cited res
Externí odkaz:
https://doaj.org/article/6348f7cafdc04609ad72c1f30ef424aa
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/383750552099406d9b394d76b4494998
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
A network, whose nodes are genes and whose directed edges represent positive or negative influences of a regulatory gene and its targets, is often used as a representation of causality. To infer a network, researchers often develop a machine learning
Externí odkaz:
https://doaj.org/article/a8f8250e63a84b3fb9aca64f164d09fa
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract This study evaluates both a variety of existing base causal inference methods and a variety of ensemble methods. We show that: (i) base network inference methods vary in their performance across different datasets, so a method that works poo
Externí odkaz:
https://doaj.org/article/9f71c6ea70ca44ccbc6fd09c517e3620
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-16 (2021)
Abstract Background Systems biology increasingly relies on deep sequencing with combinatorial index tags to associate biological sequences with their sample, cell, or molecule of origin. Accurate data interpretation depends on the ability to classify
Externí odkaz:
https://doaj.org/article/869df8125fb8481d89b742f185b8af49
Publikováno v:
Algorithms, Vol 16, Iss 6, p 278 (2023)
Database and data structure research can improve machine learning performance in many ways. One way is to design better algorithms on data structures. This paper combines the use of incremental computation as well as sequential and probabilistic filt
Externí odkaz:
https://doaj.org/article/f0797f918d4e467690af148ce50998d9
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S9, Pp 1-11 (2019)
Abstract Background Several large public repositories of microarray datasets and RNA-seq data are available. Two prominent examples include ArrayExpress and NCBI GEO. Unfortunately, there is no easy way to import and manipulate data from such resourc
Externí odkaz:
https://doaj.org/article/d19db2b177234bbb84aee8a55faac0db
Autor:
Matthew D. Brooks, Jacopo Cirrone, Angelo V. Pasquino, Jose M. Alvarez, Joseph Swift, Shipra Mittal, Che-Lun Juang, Kranthi Varala, Rodrigo A. Gutiérrez, Gabriel Krouk, Dennis Shasha, Gloria M. Coruzzi
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Temporal control of transcriptional networks enables organisms to adapt to changing environment. Here, the authors use a scaled-up cell-based assay to identify direct targets of nitrogen-early responsive transcription factors and validate a network p
Externí odkaz:
https://doaj.org/article/8373c4440151476f9e29c51167aed1f3