13:48

Propagating errors | Statistics for proteomics

10:29

Evaluating classification with Receiver Operating Characteristic Curves | Statistics for proteomics

08:52

Gene and protein set enrichment analysis | Statistics for proteomics

20:43

Statistical significance of differential protein abundance | Statistics for proteomics

19:33

Non-ignorable missing data | Statistics for proteomics

08:16

Types of missing data in proteomics | Statistics for proteomics

28:16

An expanded topology of the human cell cycle | Wayne Stallaert | SCP2020

28:09

Discussion of open peer review, and journal-independent evaluation | Jessica Polka | SCP2020

40:48

Single Cell Omics - challenges and perspectives | Bogdan Budnik | SCP2020

39:58

Improved sensitivity of proteomic profiling using monolithic columns & FAIMS | Alex Ivanov | SCP2020

33:06

Single-cell variability underlying cancer therapy resistance | Sydney Shaffer | SCP2020

21:30

An expanded topology of the human cell cycle | Wayne Stallaert | SCP2020

36:05

Single Cell Proteomics using Glass-Oil-Air-Droplet nano chip | Cathy Wong | SCP2020

35:58

Single Cell Proteomics and the Carrier Proteome Effect | Christopher M Rose | SCP2020

42:45

Why single-cell omics? | Xiaoliang Sunney Xie | SCP2020

33:05

Preprints, open peer review, and journal-independent evaluation | Jessica Polka | SCP2020

33:21

Highly multimodal measurements of single cells | Peter Smibert | SCP2020

49:36

Sample preparation for single-cell analysis | Aileen Murphy | SCP2020

51:19

Going deeper with label-free single-cell proteomics | Ryan Kelly | SCP2020

45:07

Single Cell Composition and Structure of Human Immune Metabolism | Sean Bendall | SCP2020

29:04

Combined Single Neuron Patch-Clamp/Mass Spectrometry (PatchC-MS) Analyses | John Yates | SCP2020

10:20

Overview of research in the Slavov Laboratory

37:35

Cell type purification by single-cell transcriptome-trained sorting | Chloe Baron | SCP2020

38:37

Inference and exploration of trajectories from single-cell proteomics data | Luca Pinello | SCP2020

33:06

Optimizing single-cell analysis of proteins and RNAs | Nikolai Slavov | SCP2020

31:59

Towards elucidation of cancer heterogeneity using single cell proteomics | Tami Geiger | SCP2020

26:12

Replicate Specht et al single-cell MS proteomics analysis | Chris Vanderaa & Laurent Gatto | SCP2020

17:29

Miniaturized sample preparation by digital microfluidics for sensitive MS | Jan Leipert | SCP2020

15:29

Accounting for measurement errors with total least squares

25:58

Analysis of mass spectrometry data and other omics datasets

24:08

Mass spectrometry analysis for relative and absolute quantification of proteins

20:10

Introduction to mass spectrometry analysis: History and Principles

01:25:41

Searching for direct causal mechanisms in biological systems | Principles of Bioengineering (Slavov)

21:03

Single-cell ERK signaling dynamics drive adaptive drug resistance of BRAF V600E cancers | SCP2019

28:10

Probabilistic detection of phosphoproteomic uncertainty reveals rare signaling by kinase gene fusion

34:26

High sensitivity profiling of limited samples using ultra-low flow separations coupled to mass-spec

16:08

Summary from the breakout discussions from SCP2019

21:43

Maximum Entropy Framework for Inference of Cell Heterogeneity in Signaling Networks | SCP2019

55:30

Support for single-cell analysis in the MaxQuant and Perseus software platforms, Jürgen Cox, SCP2019

28:26

DART-ID increases single-cell proteome coverage | Albert Chen | SCP2019

53:08

Revealing new cell types and states in the brain with scalable, single-cell genomics | Evan Macosko

20:17

Building a toolbox of single-cell technologies for nucleic acid detection, Sara Rouhanifard, SCP2019

31:12

How Quantitative Is Single Cell Proteomics? | Ákos Végvári | SCP2019

21:16

Microcapillary Sampling of Cells to Study In-vivo Proteomic Cell-to-Cell Heterogeneity in Embryos

39:54

Ultrasensitive pathway-scale functional proteomics using the MSK Quantitative Cell Proteomics Atlas

42:57

Data integration and analysis. Standards for benchmarking quantification | Nikolai Slavov | SCP2019

36:04

The analysis of single-cell proteomics in MaxQuant and Perseus | Sung-Huan Yu | SCP2019

35:39

Sample preparation for single-cell MS analysis | Edward Emmott | SCP2019

01:07:02

High-throughput single-cell proteomics quantifies the emergence of macrophage heterogeneity, SCP2019

35:01

Optimizing LC-MS/MS analysis with DO-MS | Gray Huffman | SCP2019

01:00:24

Design of single-cell proteomics experiments | Harrison Specht | SCP2019

42:59

SCOPED MS for deep single cell coverage | Bogdan Budnik | SCP2019

58:10

Joint analysis of heterogeneous single-cell dataset collections | Peter Kharchenko | SCP2019

05:29

Welcome to the workshop of the single-cell proteomics conference | Nikolai Slavov | SCP2019

45:46

Quantifying homologous proteins and proteoforms by HIquant | Nikolai Slavov | Broad Institute

38:35

Automated sample preparation for high-throughput single-cell proteomics | Harrison Specht | SCP2018

01:08:06

Progress, challenges and standards for single cell proteomics | Nikolai Slavov | SCP2018

38:30

Sample preparation and ultra-low flow separation for deep proteomic profiling of limited samples

20:06

Closing remarks for the Single Cell Proteomics Conference | SCP2018

51:30

Standardized sample preparation for quantity-limited proteomics | Jeroen Krijgsveld | SCP2018