MIDAS Seminars

Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research

Bias in Search and Recommenders Systems

Quantifying Cell Type-Specific Changes in Transcriptional State and Gene Co-Regulation Across Multiple Datasets Using SCRANA-SEQ

How Powerful Are Graph Neural Networks?

Constructing Tumor-Specific Gene Regulatory Networks Based on Samples with Tumor Purity Heterogeneity

Learning & Exploiting Low-Dimensional Structure in High-Dimentional Data

PCS Framework, Interpretable Machine Learning, and Deep Neural Networks

Are you a researcher looking for genetic and clinic data? Do you need assistance in data analysis?

Benchmarking at Scale: Comparing Analysis Workflows for Single-Cell Genomic Data

Predictive Analytics in Healthcare: From Anomaly Detection to Development of Clinical Decision Systems

The Strength of Long-Range Ties

statistical Methods for Flexible Differential Analysis of Cross-Sample Single-Cell RNA-Seq Datasets

Data Science at The New York Times

Making Connections: Data Science Approaches to Understanding Mood and Cognition in the Modern Er

Scalable Bayesian Inference With Hamilton Monte Carlo

Infusing Structure into Machine Learning Algorithms

Matrix Completion in Network Analysis

Leveraging Information Theory to Practical Machine Learning: Minimum Description Length Regularization for Online Learning

What Can Tweets Tell Us About Public Opinions? Uncovering the Data Generating Process by Linking Twitter Data with Surveys

Quantify Systematics from Mislabeled Tables in Supervised Learning

Information Extraction from Online Text from Opinions to Arguments to Persuasion

How to Make Causal Inferences Using Texts

Person Specific Temporal Networks: Accuracy, Dynamics, and Emojis 😕

Reliable evidence from health care data: lessons from the Observational Health Data Sciences and Informatics (OHDSI) collaborative

Two-Step Estimation and Inference with Possibly Many Included Covariates