Sep 9, 2021Using artificial intelligence to find the best tumor models for cancer drug screeningThe tumor models are necessary tools not only for the search for new drugs with antitumor activity but also for assessing their effectiveness. Optimizing the selection of the tumor models for drug screening is crucial for developing next-generation therapies for precision oncology. If the insights from these initial screens on…Artificial Intelligence5 min readArtificial Intelligence5 min read
Published in Towards Data Science·Aug 31, 2021How to organize and run remote data science internshipsWe are a team of scientists working on computational methods for biological data analysis. One of our focus areas is the application of machine learning methods to genomics data. This year, we welcomed several interns for machine learning-related projects. Due to the pandemic, we had to run these internships remotely…Data Science6 min readData Science6 min read
Published in Towards Data Science·Mar 20, 2021Deep learning-based cancer patient stratificationCancer is a major public health and economic issue and its burden is ever increasing. Only in the US, it accounts for $90 Billion in direct medical costs. It costs $2.7 Billion to develop a cancer drug. About 9.5 million people die of cancer every year. This is higher than…Artificial Intelligence6 min readArtificial Intelligence6 min read
Jan 11, 2019Mindset for research, A.K.A How to fail beautifully at your researchAccept that failure is the default outcome The smartphone above is a Motorola Droid 1, the first generation, also known as A855. This was one of the first things I bought, when I started my postdoc in New York in 2010. My work involved doing computations on large-memory servers or the compute cluster. So, I just needed…Science13 min readScience13 min read
Published in Towards Data Science·Dec 12, 2018Bioinformatics and Data ScienceCan bioinformaticians easily switch to data science roles? What kind of challenges should they expect? Is their skill set adequate for data science ? — There is much interest in data science from biology and medical science community these days. The researchers from these fields are generating massive amounts of data and naturally, as any field that has access to large data sets, people are interested in what “data science” can offer. The hope is…Data Science6 min readData Science6 min read
Published in Towards Data Science·Oct 1, 2018Scientific Data Analysis Pipelines and ReproducibilityWhat do pipelines do? Why do we need them? Pipelines are computational tools of convenience. Data analysis usually requires data acquisition, quality check, clean up, exploratory analysis and hypothesis driven analysis. Pipelines can automate these steps. They process raw data to a suitable format and analyze it with statistical tools or machine learning models in a streamlined way. In…Docker11 min readDocker11 min read
