E-Mail
IMAGE: The red nodes denote the influencers chosen by their model. The model tends to choose influencers with relatively larger number of connections and also those belonging to different sub-components of. view more
Credit: SUTD
If you were an owner of a newly set-up company, you would most likely be focused on building brand awareness to reach out to as many people as possible. But how can you do so with budget constraints?
These days, businesses have turned to a select group of people who are active on social media platforms as a cost efficient way to drive their promotional efforts. Also referred to as influencers , they have the ability to influence the opinions or buying decisions of others.
E-Mail
NEW YORK, NY (Jan. 11, 2021) Thousands of different genetic mutations have been implicated in cancer, but a new analysis of almost 10,000 patients found that regardless of the cancer s origin, tumors could be stratified in only 112 subtypes and that, within each subtype, the Master Regulator proteins that control the cancer s transcriptional state were virtually identical, independent of the specific genetic mutations of each patient.
The study, published Jan. 11 in
Cell, confirms that Master Regulators provide the molecular logic that integrates the effect of many different and patient-specific mutations to implement the transcriptional state of a specific tumor subtype, thus greatly expanding the fraction of patients who may respond to the same treatment.
E-Mail
Predictive analytics is the art and science of proposed predictive systems and models. With tuning over time, these models can predict an outcome with a far higher statistical probability than mere guesswork. Predictive analytics plays an essential role in the digital era. Most of the business strategies and planning depend on prediction and analytics using statistical approaches.
With the increasing digitization day by day, analytical challenges are also increasing at the same rate, such as digital information, which is rapidly growing, generating vast amounts of data. There are numerous statistical approaches to perform predictive analytics, including Bayesian analysis, Sequential analysis, Statistical prediction, risk prediction, and decision analytics.