On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,291 papers · 148 categories

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5 results for “RNASeq”

Review of Machine Learning Algorithms in Differential Expression Analysisstat.ML

Paper reviews machine learning in RNASeq DE analysis.

problem Improving accuracy and efficiency in RNASeq DE analysis.

method Illustrates workflow, performs DE analysis, presents machine learning improvements.

result Demonstrates machine learning's role and capabilities in RNASeq DE analysis.

machine learning RNASeq differential expression workflow computing time

2017-07-28abs ↗pdf ↗

Trajectory Inference with Smooth Schrödinger Bridgesstat.ML

Smooth Schrödinger Bridges improve trajectory inference by smoothing Gaussian processes.

problem Improving trajectory inference in applications like particle tracking.

method Generalizes Schrödinger Bridge problem to smooth Gaussian processes, solving the problem on phase space.

result The method outperforms existing methods on real datasets.

Schrödinger Bridges Trajectory Inference Smooth Gaussian Processes Polynomial Time Algorithms Single-Cell RNAseq

2025-03-01abs ↗pdf ↗

Joint association and classification analysis of multi-view datastat.ML

Proposes JACA for joint analysis of multi-view data with class information.

problem Finding associations between multi-view data related to class memberships.

method Joint Association and Classification Analysis (JACA) framework.

result Improved misclassification rates and stronger associations compared to existing methods.

multi-view data classification association analysis colorectal cancer RNAseq

2018-11-20abs ↗pdf ↗

Fusing heterogeneous data setsq-bio.GN

This thesis tackles data fusion issues across different biological scales and types.

problem Heterogeneity in data types and scales in systems biology.

method Developed statistical methods to fuse heterogeneous data sets.

result Advantages of proposed methods assessed through simulations and real data analysis.

data fusion biological systems heterogeneity statistical methods systems biology

2019-08-23abs ↗pdf ↗

A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networksq-bio.QM

Graph auto-encoder predicts unobserved node features from biological networks and omics data.

problem Integrating biological networks and continuous node features for better prediction.

method Graph neural networks and feature auto-encoders trained on feature reconstruction.

result Graph feature auto-encoder outperforms auto-encoders trained on graph reconstruction for predicting unobserved node features.

Graph Neural Networks Feature Auto-Encoders Biological Networks Omic Data Node Feature Prediction

2020-05-08abs ↗pdf ↗